This position reports to the Manager, Payroll and is responsible for the oversight and processing of AAWW domestic and international payrolls, payroll system maintenance and testing, and related general ledger functions. In addition this role is responsible for pulling and analyzing reports for the Payroll team. This role supervises payroll specialists and performs review and approval of payrolls.
Responsibilities
Review and approve payroll for the company and its subsidiaries domestic and international employees on a semi-monthly. bi-weekly and monthly basis
Perform audits and reconciliation of payroll information to ensure accuracy.
Supervision, training, development and performance management of staff, as well as the management of employee issues and problem resolution.
Process payrolls, as required
Perform and manage testing of payroll system upgrades and configuration changes
Identify and implement areas of system & process improvements
Partner with HRIS to ensure system integration and HR processes impacting payroll are effective
May perform payroll system maintenance configuration, if required
Understand, and administer collective bargaining agreement and ground staff payroll related items as required
Work with HRIS to ensure all IRS, State and Local mandated configurations and system Taxation Profiles meet approved Agency compliance requirements.
Submit, code and approve payroll-related invoices; review and approve journal entries.
Participate in and contribute to all projects impacting payroll
Create, run and analyze semi-monthly, monthly, quarterly and year-end payroll reports for Accounting and HR.
Create ad-hoc payroll reports and provide payroll information as needed.
Year-end W2 review to ensure accuracy and compliance.
Tax inquiries and new tax jurisdiction setups with the tax agencies and in the payroll system.
Respond to all payroll inquiries received in a timely manner.
Assist with reviewing and updating SOX narratives and payroll process documentation as needed.
Work with HR, Benefits, Legal, Accounting, Treasury, Flight Ops Admin and various business units to resolve issues and provide payroll support and information as needed.
Other duties and projects as assigned
Qualifications
7+ years’ experience with hands-on multi-state payroll.
Experience with Ceridian-Dayforce and Workforce Management preferred.
General knowledge of all federal, state and local payroll tax laws and filing, reporting and compliance requirements.
Working knowledge of payroll related best practices, applicable wage and hour regulations and strong ability to accurately interpret and apply organizational procedures, rules, and regulations.
Strong analytical skills.
Experience with information system integration, project management, payroll functions and controls
Effective communication, prioritization and organization skills
Ability to provide positive and professional customer service reflecting time-sensitivity and the highest degree of accuracy.
Ability to work independently with minimal direction to meet deadlines
Proficient in Microsoft Office, with advanced experience in Microsoft Excel
Salary Range: $72,500 - $98,500
#GH19 #LI-Hybrid #LI-20
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
We are looking for a brilliant and highly motivated StaffData Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role – you'll be at the forefront of transforming Atlas Air through the power of data.
In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards – the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.
The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.
If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!
Responsibilities
Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success metrics.
Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
Extract, transform, and analyze large datasets from various sources.
Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
Stay current with emerging techniques and technologies in data science and machine learning.
Collaborate with data engineering to implement production-ready solutions.
Monitor model performance and iterate on solutions as needed.
Establish best practices and methodologies for the data science function.
Research and implement new methodologies and technologies to improve Atlas Air’s data and AI/ML
Qualifications
Must-Have:
Master’s degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
5+ years of hands-on experience in a data science or similar analytical role, with a track record of impact.
Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
Strong knowledge of statistical analysis and hypothesis testing.
Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
Proven ability to translate business requirements into technical solutions.
Proven ability to apply software engineering best practices
Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.
Nice-to-Have:
Domain expertise in aviation, transportation, or logistics.
History of technical leadership on significant data science initiatives.
Contributions to related research publications and/or open-source projects.
Experience with big data platforms (e.g., Spark/Databricks).
Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)
Salary Range: $165,000 - $225,000
#LI-20 #GH19
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Atlas Air is looking for an exceptional Senior Director of Data Science & Analytics to lead our data-driven transformation and unlock actionable insights that will drive business growth, operational excellence, and fuel Atlas Air’s competitive advantage in the outsourced aviation industry. This role will be instrumental in building and scaling our data science and analytics capabilities while directly contributing to our value creation initiatives across our company.
Reporting to the VP of Data & Analytics, you will lead a team of data scientists, analysts, and engineers to deliver sophisticated analytics solutions that informs strategic decision-making, optimize operations, and identify new revenue opportunities. This is a high-impact leadership role for someone who thrives in a fast-paced, results-oriented environment where data drives every major business decision. We are looking for an enthusiastic, hands-on, get-it-done, team-driven leader with experience in building and delivering high-impact solutions that drive measurable business outcomes.
The Senior Director of Data Science and Analytics will partner with senior stakeholders across the company to help teams draw insights from their data. This individual will play a key role in helping lead the transformation of Atlas Air into a data driven and innovative leader in the transportation and logistics industry. As one of the company’s key data evangelists, you will help embed a data-driven culture across the company. You will help define the vision for our data science and analytics strategy, while leading a team of talented machine learning engineers, data scientists, and data analysts to implement that vision.
Responsibilities
Partner with executive leadership to identify high-impact data use cases that drive measurable business outcomes.
Define and execute the comprehensive data science, machine learning and analytics strategic roadmap aligned with business objectives and value creation goals.
Build data science capabilities from the ground up, establishing best practices, methodologies, and governance frameworks.
Recruit, develop, and retain top-tier data science and analytics talent.
Lead and mentor a team of data scientists, machine learning engineers, and data analysts, fostering innovation, growth, and technical excellence.
Build a high-performing, collaborative team culture focused on innovation and continuous learning.
Manage project prioritization, resource allocation, and budget for the data science and analytics function.
Drive the development of advanced analytics, machine learning, and AI solutions to solve complex business problems.
Develop and track key performance indicators to measure the impact of data initiatives.
Build and maintain strong relationships with key stakeholders across the organization.
Outstanding communication skills with ability to present complex technical concepts to non-technical stakeholders.
Proven ability to influence and drive change across organizations.
Present insights and recommendations to executive and senior stakeholders.
Qualifications
Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative field.
12+ years of progressive experience in data science and analytics, with at least 5 years in leadership roles.
Demonstrated success in translating complex analytical insights into actionable business strategies.
Proven track record of building and scaling data science teams in high-growth environments.
Deep expertise in machine learning, statistical modeling, experimental design, and causal inference.
Strong proficiency in Python, R, SQL, and modern data science tools and frameworks.
Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt, etc.).
Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, etc.).
Outstanding communication and interpersonal skills with the ability to influence at all levels.
Preferred Experience
Exceptional leadership and people management capabilities with experience building teams from 10-50+ people.
Background in scaling analytics capabilities across multiple business units or companies.
Experience with real-time analytics, recommendation systems, or customer analytics.
Previous experience in relevant industry verticals (technology, aviation, transportation, and/or logistics).
Background in machine learning operations (MLOps) and data science infrastructure.
Track record of speaking at industry conferences or publications on data science, or machine learning topics.
We offer competitive compensation, comprehensive benefits, and the opportunity to lead critical data initiatives that drive organizational success.
Salary Range: $200,000 - $270,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Atlas Air is looking for an exceptional Senior Director of Data Science & Analytics to lead our data-driven transformation and unlock actionable insights that will drive business growth, operational excellence, and fuel Atlas Air’s competitive advantage in the outsourced aviation industry. This role will be instrumental in building and scaling our data science and analytics capabilities while directly contributing to our value creation initiatives across our company.
Reporting to the VP of Data & Analytics, you will lead a team of data scientists, analysts, and engineers to deliver sophisticated analytics solutions that informs strategic decision-making, optimize operations, and identify new revenue opportunities. This is a high-impact leadership role for someone who thrives in a fast-paced, results-oriented environment where data drives every major business decision. We are looking for an enthusiastic, hands-on, get-it-done, team-driven leader with experience in building and delivering high-impact solutions that drive measurable business outcomes.
The Senior Director of Data Science and Analytics will partner with senior stakeholders across the company to help teams draw insights from their data. This individual will play a key role in helping lead the transformation of Atlas Air into a data driven and innovative leader in the transportation and logistics industry. As one of the company’s key data evangelists, you will help embed a data-driven culture across the company. You will help define the vision for our data science and analytics strategy, while leading a team of talented machine learning engineers, data scientists, and data analysts to implement that vision.
Responsibilities
Partner with executive leadership to identify high-impact data use cases that drive measurable business outcomes.
Define and execute the comprehensive data science, machine learning and analytics strategic roadmap aligned with business objectives and value creation goals.
Build data science capabilities from the ground up, establishing best practices, methodologies, and governance frameworks.
Recruit, develop, and retain top-tier data science and analytics talent.
Lead and mentor a team of data scientists, machine learning engineers, and data analysts, fostering innovation, growth, and technical excellence.
Build a high-performing, collaborative team culture focused on innovation and continuous learning.
Manage project prioritization, resource allocation, and budget for the data science and analytics function.
Drive the development of advanced analytics, machine learning, and AI solutions to solve complex business problems.
Develop and track key performance indicators to measure the impact of data initiatives.
Build and maintain strong relationships with key stakeholders across the organization.
Outstanding communication skills with ability to present complex technical concepts to non-technical stakeholders.
Proven ability to influence and drive change across organizations.
Present insights and recommendations to executive and senior stakeholders.
Qualifications
Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative field.
12+ years of progressive experience in data science and analytics, with at least 5 years in leadership roles.
Demonstrated success in translating complex analytical insights into actionable business strategies.
Proven track record of building and scaling data science teams in high-growth environments.
Deep expertise in machine learning, statistical modeling, experimental design, and causal inference.
Strong proficiency in Python, R, SQL, and modern data science tools and frameworks.
Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt, etc.).
Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, etc.).
Outstanding communication and interpersonal skills with the ability to influence at all levels.
Preferred Experience
Exceptional leadership and people management capabilities with experience building teams from 10-50+ people.
Background in scaling analytics capabilities across multiple business units or companies.
Experience with real-time analytics, recommendation systems, or customer analytics.
Previous experience in relevant industry verticals (technology, aviation, transportation, and/or logistics).
Background in machine learning operations (MLOps) and data science infrastructure.
Track record of speaking at industry conferences or publications on data science, or machine learning topics.
We offer competitive compensation, comprehensive benefits, and the opportunity to lead critical data initiatives that drive organizational success.
Salary Range: $200,000 - $270,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Atlas Air is looking for an exceptional Senior Director of Data Science & Analytics to lead our data-driven transformation and unlock actionable insights that will drive business growth, operational excellence, and fuel Atlas Air’s competitive advantage in the outsourced aviation industry. This role will be instrumental in building and scaling our data science and analytics capabilities while directly contributing to our value creation initiatives across our company.
Reporting to the VP of Data & Analytics, you will lead a team of data scientists, analysts, and engineers to deliver sophisticated analytics solutions that informs strategic decision-making, optimize operations, and identify new revenue opportunities. This is a high-impact leadership role for someone who thrives in a fast-paced, results-oriented environment where data drives every major business decision. We are looking for an enthusiastic, hands-on, get-it-done, team-driven leader with experience in building and delivering high-impact solutions that drive measurable business outcomes.
The Senior Director of Data Science and Analytics will partner with senior stakeholders across the company to help teams draw insights from their data. This individual will play a key role in helping lead the transformation of Atlas Air into a data driven and innovative leader in the transportation and logistics industry. As one of the company’s key data evangelists, you will help embed a data-driven culture across the company. You will help define the vision for our data science and analytics strategy, while leading a team of talented machine learning engineers, data scientists, and data analysts to implement that vision.
Responsibilities
Partner with executive leadership to identify high-impact data use cases that drive measurable business outcomes.
Define and execute the comprehensive data science, machine learning and analytics strategic roadmap aligned with business objectives and value creation goals.
Build data science capabilities from the ground up, establishing best practices, methodologies, and governance frameworks.
Recruit, develop, and retain top-tier data science and analytics talent.
Lead and mentor a team of data scientists, machine learning engineers, and data analysts, fostering innovation, growth, and technical excellence.
Build a high-performing, collaborative team culture focused on innovation and continuous learning.
Manage project prioritization, resource allocation, and budget for the data science and analytics function.
Drive the development of advanced analytics, machine learning, and AI solutions to solve complex business problems.
Develop and track key performance indicators to measure the impact of data initiatives.
Build and maintain strong relationships with key stakeholders across the organization.
Outstanding communication skills with ability to present complex technical concepts to non-technical stakeholders.
Proven ability to influence and drive change across organizations.
Present insights and recommendations to executive and senior stakeholders.
Qualifications
Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative field.
12+ years of progressive experience in data science and analytics, with at least 5 years in leadership roles.
Demonstrated success in translating complex analytical insights into actionable business strategies.
Proven track record of building and scaling data science teams in high-growth environments.
Deep expertise in machine learning, statistical modeling, experimental design, and causal inference.
Strong proficiency in Python, R, SQL, and modern data science tools and frameworks.
Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt, etc.).
Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, etc.).
Outstanding communication and interpersonal skills with the ability to influence at all levels.
Preferred Experience
Exceptional leadership and people management capabilities with experience building teams from 10-50+ people.
Background in scaling analytics capabilities across multiple business units or companies.
Experience with real-time analytics, recommendation systems, or customer analytics.
Previous experience in relevant industry verticals (technology, aviation, transportation, and/or logistics).
Background in machine learning operations (MLOps) and data science infrastructure.
Track record of speaking at industry conferences or publications on data science, or machine learning topics.
We offer competitive compensation, comprehensive benefits, and the opportunity to lead critical data initiatives that drive organizational success.
Salary Range: $200,000 - $270,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
The Cloud Systems Engineer is responsible for the implementation, and optimization of cloud infrastructure and services to ensure scalability, security, and efficiency. This role involves working closely with internal teams and external vendors to support business objectives and maintain high-performance cloud environments.
The Cloud Systems Engineer will collaborate with cloud architects, DevOps teams, and IT personnel to manage cloud operations, automate workflows, and optimize cloud performance. Key technical areas include cloud platform management, infrastructure as code (IaC), automation, cloud security, containerization, and cloud networking.
Responsibilities
Leadership:
Foster technical and procedural excellence within the IT department for all applicable production systems and processes
Foster technical knowledge, design, and engineering excellence within the IT department
Ensure systemic problems, sensitive customer situations, or unresolved customer Requests are escalated and distributed to IT management in a timely manner
Recommend implementation standards
Customer and System Support:
Keep IT management apprised of critical issues
Identify, correlate, escalate, and manage Problems
Ensure local Service Delivery approach, processes, and procedures are aligned with organizational standards
Collaborate with End User Services to ensure requests, incidents, and problems are handled in a timely manner and customer service expectations are met
Design, Engineering, and Innovation:
Facilitate the acquisition and integration of new technology into the environment
Identify and recommend new technology value to the organization
Research technical concepts and educate other team members as needed
Present research / proposed projects to IT management
Participate in technology evaluations
Provide expertise on application integration, design, security, reliability
Collaboration with other design teams within IT
Monitoring & Optimization:
Recommend improvements to systems and IT support process
Recommend implementation standards
Define implementation standards
Documentation & Knowledge Management:
Develop quality documentation of technical processes and procedures
Document all ticket and project work
Ensure documentation is sufficient to yield reproducible results
Identify and recommend changes with existing documentation that impacts customer support
Identify, track, any resolve gaps in existing documentation
Assist in policy, security, and compliance documentation efforts when agreed upon
Champion quality documentation of technical processes and procedures
Lead knowledge transfer activities between teams
Project Delivery:
Track and complete assigned IT projects
Complete tasks in a timely and quality fashion
Adhere to implementation, quality control, and change control standards
Keep IT management apprised of risks to project success
Ensure that projects are delivered on-time, within scope and within budget
Coordinate internal resources and 3rd party/vendors for efficient execution
Qualifications
Experience with AWS services providing highly available, secure, and reliable services.
3+ years of relevant systems engineering or systems administration using Operating Systems, Networking, and storage systems
Experience working in a team-oriented, collaborative environment
Demonstrated results orientation, initiative, attention to detail, and customer service orientation
Excellent written, verbal and presentation communication skills
Subject Matter Competency with Active Directory and Windows OS security
Special demands:
This position may require travel on an as-needed basis to domestic and international company locations, data centers, and training events.
#GH19 #LI-Hybrid #LI-20
Salary Range: $83,500 - $113,500
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
The Cloud Network Engineer is responsible for the implementation, and optimization of cloud infrastructure and services to ensure scalability, security, and efficiency. This role involves working closely with internal teams and external vendors to support business objectives and maintain high-performance cloud environments.
The Cloud Systems Engineer will collaborate with cloud architects, DevOps teams, and IT personnel to manage cloud operations, automate workflows, and optimize cloud performance. Key technical areas include cloud platform management, infrastructure as code (IaC), automation, cloud security, containerization, and cloud networking.
Responsibilities
Leadership:
Foster technical and procedural excellence within the IT department for all applicable production systems and processes
Foster technical knowledge, design, and engineering excellence within the IT department
Ensure systemic problems, sensitive customer situations, or unresolved customer Requests are escalated and distributed to IT management in a timely manner
Recommend implementation standards
Customer and System Support:
Keep IT management apprised of critical issues
Identify, correlate, escalate, and manage Problems
Ensure local Service Delivery approach, processes, and procedures are aligned with organizational standards
Collaborate with End User Services to ensure requests, incidents, and problems are handled in a timely manner and customer service expectations are met
Design, Engineering, and Innovation:
Facilitate the acquisition and integration of new technology into the environment
Identify and recommend new technology value to the organization
Research technical concepts and educate other team members as needed
Present research / proposed projects to IT management
Participate in technology evaluations
Provide expertise on application integration, design, security, reliability
Collaboration with other design teams within IT
Monitoring & Optimization:
Recommend improvements to systems and IT support process
Recommend implementation standards
Define implementation standards
Documentation & Knowledge Management:
Develop quality documentation of technical processes and procedures
Document all ticket and project work
Ensure documentation is sufficient to yield reproducible results
Identify and recommend changes with existing documentation that impacts customer support
Identify, track, any resolve gaps in existing documentation
Assist in policy, security, and compliance documentation efforts when agreed upon
Champion quality documentation of technical processes and procedures
Lead knowledge transfer activities between teams
Project Delivery:
Track and complete assigned IT projects
Complete tasks in a timely and quality fashion
Adhere to implementation, quality control, and change control standards
Keep IT management apprised of risks to project success
Ensure that projects are delivered on-time, within scope and within budget
Coordinate internal resources and 3rd party/vendors for efficient execution
Qualifications
3+ years of hands-on experience in network engineering or network administration, with a strong foundation in operating systems, networking protocols, and storage systems.
Proven expertise in AWS networking services, including the design and implementation of highly available, secure, and scalable cloud network architectures.
Strong understanding of core networking concepts, including WAN, BGP, routing, VPNs, and hybrid cloud connectivity.
Demonstrated ability to work effectively in a collaborative, team-oriented environment, with a proactive and solutions-focused mindset.
Excellent communication skills, including written, verbal, and presentation abilities, with the capacity to convey complex technical concepts to diverse audiences.
Detail-oriented and customer-focused, with a strong sense of ownership, initiative, and a track record of delivering results in dynamic environments.
Desired Qualifications
In-depth experience with AWS services, including IAM, EC2, RDS, S3, Lambda, VPC, ECS/EKS, Elastic Beanstalk, and Migration Services, with a focus on building secure, resilient, and scalable cloud solutions.
Strong presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
Proven experience leading and managing engineering teams, including full-time employees, in fast-paced environments.
Hands-on experience with modern DevOps practices and scripting/programming languages, such as Ruby, Python, Perl, and PowerShell.
AWS Certified Solutions Architect – Associate or Professional, or equivalent cloud certification.
Special demands:
This position may require travel on an as-needed basis to domestic and international company locations, data centers, and training events.
#GH19 #LI-Hybrid #LI-20
Salary Range: $83,500 - $113,500
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Assists in strategic sourcing activities for multiple spend categories, with the goal of achieving significant reductions in total cost of ownership. In addition, strives to deliver year-over-year productivity improvements while maintaining or improving service levels and reliability. Included within this group are services required to be used across the entire organization including such items as Material Repair, Technical Procurement, Engineering and other areas as assigned. By leveraging the companies buying power, the Sr. Analyst is responsible for establishing contractual relationships with vendors who provide the greatest value to Atlas Air and its subsidiaries. The Sr. Analyst will administer the execution of agreements to ensure that contractual requirements are adhered to by both the vendor and Atlas. The Sr. Analyst will work cross-functionally with the Supplier Management & Development team on tracking supplier performance in accordance with contractual terms and making business decisions.
Responsibilities
Process requisitions, purchase orders and assist with invoice reconciliation for the business unit.
Leading the execution of sourcing events (bids/quotes/RFP’s).
Develops expertise in every spend category.
Analyze corporate requirements and source cost effective solutions.
Negotiate, draft, and administer contracts for specific spend categories.
Apply purchasing policies, corporate policies and SOX controls.
Establish and maintain interdepartmental relationships.
Collect and process documents for conducting business with new suppliers.
Monitors marketplace in staying abreast of new suppliers and offerings.
Adheres to compliance with government regulations and company standards and policies.
Manage assigned commodity groups and maintain contract renewals.
Creating reports, collecting data, and performing analysis.
Takes advantage of available training and educational resources to improve functional skills and knowledge
Performs other duties as assigned
Qualifications
4-Year Degree preferred – MBA and/or CPM helpful
Experience in the aviation industry is a plus
Strong analytical skills as well as experience with analytical tools such as MS Excel, Power BI, Smartsheets and Tableau.
3-year experience in a Procurement, Data Analytics, or related role preferred.
Strong written and verbal communication skills
Ability to work in interdepartmental team settings
Ability to multitask and coordinate time sensitive deliverables.
Skills:
Must have strong analytical skills, as well as a superior understanding of MS Excel
Good written and verbal communication skills
Ability to work in interdepartmental team settings
Ability to multitask and coordinate time sensitive duties
#GH19 #LI-Hybrid #LI-20
Salary Range: $70,500 - $95,500
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
The IT Strategy & Portfolio Manager will fill a strategic role accountable for owning and leading governance and portfolio management processes that drive Atlas’s transformation and long-term business priorities.
Responsibilities
Governance & Portfolio Leadership
Own the intake, prioritization, and review process for all initiatives, ensuring readiness, alignment, and business value.
Maintain an enterprise-wide portfolio view that reflects dependencies, risks, opportunities, and progress toward OKRs.
Drive continuous improvement in governance to support integrated portfolio management and product-based delivery.
Prepare decision-ready insights, updates, and materials for the Technology Steering Committee (TSC) and other leadership forums.
Strategic Alignment & Value Delivery
Translate enterprise priorities into actionable plans and ensure initiatives are resourced and structured for success.
Monitor and course-correct high-priority or at-risk initiatives to protect business commitments.
Ensure portfolio outcomes deliver tangible business value and support Atlas’s transformation milestones.
Leadership Visibility & Communication
Deliver concise, executive-ready dashboards and summaries that inform leadership decisions.
Translate delivery progress, risks, and technical detail into clear, business-relevant insights that highlight impact on enterprise priorities, financial outcomes, and strategic goals.
Surface trends and recommendations that enable IT to anticipate and adapt to change.
Enablement & Workforce Development
Coach and guide project/program managers and contractors on governance standards and practices.
Support workforce planning by aligning resources and capabilities with future-state needs.
Promote tools, practices, and automation that increase efficiency and collaboration across IT.
Qualifications
Required Qualifications
Bachelor’s degree or equivalent experience required.
8+ years in IT portfolio, program, or project management with direct governance experience.
Proven ability to independently lead with ownership of portfolio outcomes tied to business value.
Strong communicator, equally credible with executives and delivery teams.
Experience balancing strategic planning with hands-on problem solving.
Familiarity with portfolio management and collaboration tools (Smartsheet, SharePoint, Azure DevOps, Jira).
Desired Qualifications:
Experience with OKRs, product-based delivery models, or enterprise transformation programs.
Special demands:
This position may require travel on an as-needed basis to domestic and international company locations and training events
Salary Range: $91,000 - $122,500
#GH19 #LI-Hybrid #LI-20
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Responsible for financial planning and analysis supporting company-wide strategic and operational initiatives
Responsibilities
Work closely with operational teams in gathering data to develop business cases for various strategic initiatives spanning a wide range of projects (including, but not limited to asset purchases, maintenance partnerships and facility analyses)
Collaborate with various operating groups to identify and structure major tactical improvement opportunities
Responsible for detailed understanding of the company’s cost structure and the ability to model impact of changes in business conditions
Cost Benefit analysis of Capital Expenditure projects. Ability to model business case scenarios to support optimal decision making
Responsible for meeting all deadlines related to the Director’s areas of responsibilities and assisting the senior management in meeting Company deadlines
Support the monthly management reporting process, including dashboards and KPIs.
Special projects as assigned
Qualifications
Bachelor’s Degree required; Finance, Accounting, or Business preferred (must have strong knowledge of accounting and financial principles);
MBA is a plus
Minimum of 5 years of professional experience with 2-5 years of experience in a consulting firm or other corporate setting
Demonstrated ability in analysis including comparative ROI, NPV, cost-benefit, valuation, statistical models, and cost accounting
Advanced computer skills – A high proficiency in Excel spreadsheets and financial modeling is a must. Experience with financial reporting and planning systems, SQL, and database modeling is a plus
Knowledge of Anaplan, JDE or other accounting system is a plus
Excellent communication and interpersonal skills with the ability to interact at all levels of the company and with external parties
Highly organized, numbers-oriented individual with strong attention to detail and emphasis on accuracy and timeliness
Flexibility to work additional hours and travel as required
Salary Range: $100,000 - $125,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Responsible for financial planning and analysis in support of company-wide strategic and operational initiatives, including long-range planning, profitability analysis, financial modeling, performance reporting, and report automation. This role partners closely with cross-functional teams to provide insights that drive sound business decisions and sustainable growth.
Responsibilities
Long-Range Strategic Planning: Collaborate with Revenue Planning and Sales in the development of the Company’s long-term Strategic Plan.
Financial Modeling & Analysis: Apply a deep understanding of the Company’s cost structure to model the financial impact of changes in business conditions.
Reporting & Presentation: Design, automate, and maintain financial reports, dashboards, and scorecards to streamline performance tracking. Prepare board presentations and earnings call schedules to support executive decision-making.
Budget and Planning:Support the annual budget process, including management of revenue, depreciation, aircraft rent, interest expenses, and other key financial components.
Profitability Analysis: Conduct financial analysis to evaluate revenue streams, cost structures, and market conditions, providing insights and recommendations that support sustainable profitability.
Ad-hoc analyses: Ensure timely completion of all deliverables within the Senior Manager’s scope, including special projects and ad-hoc analyses.
Qualifications
Bachelor’s degree required; Finance, Accounting, or Business preferred, with a strong foundation in accounting and financial principles.
Minimum of 5 years of professional experience with 2–5 years of finance or analytical experience.
Experience within the aviation industry preferred.
Experience with Anaplan or similar enterprise planning systems strongly preferred.
Proven analytical skills with the ability to apply various financial and quantitative techniques.
Advanced proficiency in Microsoft Excel, including financial modeling is a must; experience with financial reporting and planning tools (e.g., Anaplan) is a plus.
Excellent communication and interpersonal skills, with the ability to work effectively across all levels of the organization and with external stakeholders.
Highly self-motivated, detail-oriented, and able to work independently with minimal supervision.
Flexibility to manage multiple priorities and work additional hours as needed.
Salary Range: $100,000 - $125,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
This position is a key collaborative role within the Financial Planning & Analysis team, providing crucial financial support and strategic analysis across the company's operations. This position is central to unlocking the full potential of our Anaplan platform, providing crucial support for data-driven decisions through advanced financial modeling, forecasting, and reporting. The successful candidate will partner with business and finance teams to contribute to long-term strategy, identify opportunities for value creation, and collaborate with senior leadership to enhance fiscal performance and business growth.
Responsibilities
Anaplan Model Design & Development: Collaborate on the design, build, and optimization of complex, multi-dimensional Anaplan models to support financial planning, budgeting, forecasting, and profitability analysis. This includes maintaining data hierarchies, managing data hubs, and ensuring model health and integrity.
Data Integration & Governance: Work in partnership with business teams to develop and manage data integration pipelines between Anaplan and source systems. Monitor and validate data processing workflows to ensure consistency, accuracy, and reliability across all reporting and planning systems.
Financial Modeling & Analysis: Develop and maintain advanced financial models for key investments and strategic initiatives, including variance analysis, cost-benefit analysis, and trend forecasting. Perform scenario and sensitivity analyses to assess potential business impacts and provide data-driven recommendations to management.
Strategic & Cross-Functional Partnership: Collaborate with the Value Creation Office (VCO) and operational teams to help establish financial baselines for projects, validate cost savings, and implement robust tracking methods to monitor performance. Provide financial insights and guidance to support cross-departmental initiatives.
Reporting & Presentation: Prepare detailed financial reports, dashboards, and board presentations that translate complex data into clear, actionable insights for stakeholders and senior leadership.
Qualifications
Anaplan Expertise: Anaplan Level 3 Model Builder certification or equivalent experience; preferably with experience in full-cycle/end-to-end Anaplan implementations.
Professional Experience: Minimum of 5 years’ professional work experience, with 3-5 years of progressive experience in financial analysis or FP&A in a corporate setting.
Educational Background: Bachelor's degree in Finance, Accounting, Economics, or a related field with a strong knowledge of accounting and financial principles. An MBA is a plus.
Technical Proficiency: Advanced proficiency in financial modeling and data analysis tools, including Microsoft Excel (VBA, macros), and experience with ERP systems (JD Edwards, SAP, Oracle) and SQL.
Analytical Abilities: Demonstrated expertise in analytical techniques such as comparative ROI, cost-benefit analysis, valuation, and statistical models.
Communication & Collaboration: Excellent verbal and written communication skills with the ability to effectively engage with a diverse range of stakeholders, from operational teams to senior management.
Salary Range: $100,000 - $125,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
The Company (Atlas Air Worldwide Holdings, Inc. and its operating subsidiaries) is an equal opportunity employer that is committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail [email protected].