• 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

• 7+ years’ experience with hands-on multi-state payroll.
• Associates degree and/or relevant supervisory experience preferred.
• Crew payroll knowledge preferred.
• 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: $70,500 - $95,500

 #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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

“Know Your Rights: Workplace Discrimination is Illegal” Poster

The "EEO Is The Law" Poster

• Lead and mentor a team of data engineers, fostering innovation, growth, and technical excellence.
• Define and execute the strategic roadmap for data engineering initiatives aligned with business objectives.
• Design scalable, reliable, and efficient data architectures to support analytics, machine learning, and business intelligence.
• Partner with cross-functional leaders to understand data requirements and deliver impactful solutions.
• Establish data engineering best practices, standards, and governance processes.
• Drive the selection, implementation, and optimization of data technologies and tools.
• Ensure data quality, reliability, and security across all data systems.
• Manage project prioritization, resource allocation, and budget for the data engineering function.
• Build and maintain strong relationships with key stakeholders across the organization.

• 10+ years of progressive experience in data engineering, with at least 5 years in leadership roles.
• Proven track record of successfully building and leading high-performing data engineering teams.
• Deep hands-on technical expertise in data integration, ETL/ELT processes, and data modeling.
• Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt).
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services.
• Excellent understanding of data governance, compliance, and security principles.
• Outstanding communication and interpersonal skills with the ability to influence at all levels.
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.

Preferred Qualifications:

• Knowledge of real-time data processing frameworks and streaming technologies.
• Background in machine learning operations (MLOps) and data science infrastructure.
• Experience working in the aviation, transportation, or logistics industry or with similar data challenges.
• Track record of speaking at industry conferences or publishing on data engineering topics.

Salary Range: $210,000 - 250,000

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. 

To view our Pay Transparency Statement, please click here: Pay Transparency Statement 

• Leads a team of highly experienced individual contributors and technical managers including hiring, career development and performance reviews with a focus on enhancing leadership effectiveness
• Leads technical leaders including hiring, mentorship, career development, and performance reviews with a focus on enhancing leadership effectiveness
• Provides leadership, mentoring and coaching for all staff and fosters a culture of accountability, innovation and team building
• Forms part of the Extended Technology Leadership team and works collaboratively across the group
• Establishes and maintains security architecture principles, standard, and patterns that enable secure-by-design practices across the enterprise
• Provides leadership and influences cybersecurity strategy across the product portfolio
• Provides a holistic focus across infrastructure, application security, vulnerability management and third-party partnerships and dependencies
• Drives the technical vision and roadmap for information security solutions across cloud and on-premise environments
• Oversees the Aircraft Cybersecurity program
• Partners with enterprise infrastructure, development teams, and business stakeholders to integrate security requirements into technology initiatives
• Develops partnerships aimed at improving product security practices and reducing cost
• Evaluates emerging security technologies and trends and recommends solutions to advance the company security posture
• Manages the Information Security operational and capital budgets including forecasting and reporting of fiscal performance for domain of responsibility. Ensures that the proper investments are made with regards to a multi-year view but is adaptable in a rapidly changing environment
• Manage relationships with key security vendors, partners, and regulators
• Evolves architectural design through awareness of existing ecosystem and pain points (performance, financial, scalability) to deliver a positive impact
• Translates business needs into Architectural requirements and estimate the financial impact of alternatives
• Develops and implements training and succession plans to develop internal staff and expand technical and leadership capacity within the team
• Performs other duties as assigned

• Bachelor’s degree or relevant work experience required.
• 10+ years of progressive experience in information security, with at least 5 years in an architecture or engineering role
• 7+ years in a team lead, manager or similar leadership role in cybersecurity or app security.
• Demonstrated technical prowess, along with proven experience leading high-performing cybersecurity teams
• Proven track record of leading and delivering complex security initiatives
• Experience with security major cloud platforms (AWS, Azure, GCP)
• Proficient in application security, APIs, vulnerability management, threat modeling and risk management
• Well-versed with application security tools, public cloud providers, CI/CD platforms and container services
• Successful track record of hiring and retaining cybersecurity professionals and multi-team collaboration
• Able to direct teams and be actively aware of workload, timelines and obligations without micromanaging
• Experience managing an annual cybersecurity budget with expenses for internally developed, commercial and third-party tools
• Exemplary communication and leadership skills
• Must be able to translate technical security concepts into lay terms
• Must be comfortable presenting in front of technical and non-technical audiences
• Experience in aircraft cybersecurity desired but not required
• Understanding of NIST standards for Information Security strongly desired
• One or more of CISSP, GCSA, CSSLP, SABSA or similar security certifications desired but not required

Salary Range: $168,500 - $227,500

#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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

“Know Your Rights: Workplace Discrimination is Illegal” Poster

The "EEO Is The Law" Poster

“Know Your Rights: Workplace Discrimination is Illegal” Poster | U.S. Equal Employment Opportunity Commission

The "EEO Is The Law" Poster

• 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

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. 

 To view our Pay Transparency Statement, please click here: Pay Transparency Statement 

• Develop compelling business cases to support strategic initiatives, including value creation plan analysis, new business opportunities and fleet management decisions.
• Value Creation & Project Analysis: Partner with the Sr. Director of FP&A and the VCO (Value Creation Office) to set accurate financial baselines for projects, validate cost savings estimates from third-party consultants, and implement robust tracking methods to monitor project performance.
• Collective Bargaining Agreement (CBA) Analysis: Work with the Sr. Director of FP&A and Flight Ops to analyze the cost implications of CBAs, including those for Pilots, Flight Attendants, and other unions.
• Build robust financial models for key investments like engine purchases, providing data-driven recommendations to upper management.
• Collaborate across departments to develop the long-term strategic plan and ensure alignment with financial goals.
• Support monthly and quarterly reporting processes, including profitability analysis, business segment reporting, and Board presentations.
• Partner with operational teams to identify and implement cost-saving initiatives, enhancing flight and customer profitability.
• Drive strategic projects, implementing Anaplan enhancements to enable critical decision-making.

• 7-8 years of experience in financial analysis in a corporate setting; Airlines specific experience preferred.
• Bachelor’s Degree required; Finance, Accounting, or Business preferred (must have strong knowledge of accounting and financial principles); MBA is a plus.
• Practical Anaplan model building experience, particularly at Level 3 proficiency or higher, is highly valued. Formal certification is secondary to proven experience.
• Demonstrated ability in various analytical techniques: comparative ROI, cost-benefit analysis, valuation, statistical models, and cost accounting.
• Proficient in Excel and financial modeling, with experience in financial reporting and planning systems. SQL and database modeling skills are advantageous.
• Excellent communication and interpersonal skills for interaction across all company levels and with external parties.
• Highly organized and numbers-focused individual with a proven ability to deliver accurate and timely work.
• Demonstrated flexibility to meet business needs, including extended hours and travel.

Salary Range: $100,000 - $130,000

#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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

“Know Your Rights: Workplace Discrimination is Illegal” Poster

The "EEO Is The Law" Poster

“Know Your Rights: Workplace Discrimination is Illegal” Poster | U.S. Equal Employment Opportunity Commission

The "EEO Is The Law" Poster

• Develop configuration and support for normal tasks in accordance with patterns, best practices and the SDLC that is robust, reliable, secure, performant and scalable
• Support in the delivery of complex configuration or support
• Maintain and grow their expertise in their core technical specialty and grow out their cross functional skills in the team
• Actively participate contribute to the squad culture and delivery rituals
• Assist in grooming stories for delivery
• Deliver effective and accurate estimates
• Support the collection and presentation of delivery metrics
• Actively contribute in retros and the growth of the teams capability
• Actively contribute to the testing, documentation and support of the products
• Engage effectively with end users of their products at their level through the SDLC
• Understands the strategy and can articulate how their work contributes value to it
• Supports the chapter lead as required in running the chapter and participating in practices

• Degree or equivalent experience
• 5+ years of experience in their specialty platform
• 3+ years experience in an agile delivery culture
• Experience delivering applications within an automated CI/CD, SDLC and automated testing an advantage
• Airline or logistics experience an advantage but not essential

Special Demands:

• The role may require some occasional domestic travel and very occasional international travel

Skills:

• Flexibility to adapt to a fast paced work environment
• Critical thinking skills
• Self-motivated
• Team player
• Able to be part of a high performing team culture
• Technical problem solver
• Good written and oral communication skills

Salary Range: $109,500 -$148,500

 #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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

“Know Your Rights: Workplace Discrimination is Illegal” Poster | U.S. Equal Employment Opportunity Commission

The "EEO Is The Law" Poster

• Develop and implement a clear, aligned product strategy and roadmap
• Work with stakeholders to develop a prioritised backlog based on business value
• Appropriately prioritise maintenance and tech debt activities with new features to ensure a sustainable product
• Accountable for a secure, reliable and performant product that delivers value for Atlas
• Develop and implement product success metrics and manage team to them
• Senior stakeholder management including customers and vendors
• Financially literate and can manage a P&L if required
• Support Application Development Chapter Lead in implementing an engineering culture
• Support Portfolio Senior Director in implementing an adaptive human centric system of work
• Accountable for a complex cross functional product/service ecosystem

• Degree or equivalent experience
• 7+ years of product management experience with 3+ years with full accountability of a complex enterprise level programme, portfolio or product
• 15+ years of experience as a business analyst, project manager, scrum master or product manager
• 5+ years experience in an agile delivery culture
• Experience managing ERPs or Enterprise Platforms as a product an advantage
• Experience delivering applications within an automated CI/CD SDLC
• Airline or logistics experience an advantage but not essential

 Special demands:

• The role will require frequent (~monthly) domestic travel and occasional (annually) international travel

Skills:

• Experienced influencer and story teller with excellent Oral/Written communication skills
• Highly skilled Workshop facilitation in highly complex and political enterprise level environments
• Flexibility to adapt to a fast paced work environment
• Critical thinking skills
• Self-motivated
• Team player
• Able to build a high performing team culture
• Able to coach more junior team members and senior stakeholders

Salary Range: $155,000 - 218,000

#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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

“Know Your Rights: Workplace Discrimination is Illegal” Poster

The "EEO Is The Law" Poster

“Know Your Rights: Workplace Discrimination is Illegal” Poster | U.S. Equal Employment Opportunity Commission

The "EEO Is The Law" Poster

• Lead and mentor a team of data engineers, fostering innovation, growth, and technical excellence.
• Define and execute the strategic roadmap for data engineering initiatives aligned with business objectives.
• Design scalable, reliable, and efficient data architectures to support analytics, machine learning, and business intelligence.
• Partner with cross-functional leaders to understand data requirements and deliver impactful solutions.
• Establish data engineering best practices, standards, and governance processes.
• Drive the selection, implementation, and optimization of data technologies and tools.
• Ensure data quality, reliability, and security across all data systems.
• Manage project prioritization, resource allocation, and budget for the data engineering function.
• Build and maintain strong relationships with key stakeholders across the organization.

• 10+ years of progressive experience in data engineering, with at least 5 years in leadership roles.
• Proven track record of successfully building and leading high-performing data engineering teams.
• Deep hands-on technical expertise in data integration, ETL/ELT processes, and data modeling.
• Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt).
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services.
• Excellent understanding of data governance, compliance, and security principles.
• Outstanding communication and interpersonal skills with the ability to influence at all levels.
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.

Preferred Qualifications:

• Knowledge of real-time data processing frameworks and streaming technologies.
• Background in machine learning operations (MLOps) and data science infrastructure.
• Experience working in the aviation, transportation, or logistics industry or with similar data challenges.
• Track record of speaking at industry conferences or publishing on data engineering topics.

Salary Range: $210,000 - 250,000

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. 

To view our Pay Transparency Statement, please click here: Pay Transparency Statement 

• Lead and mentor a team of data engineers, fostering innovation, growth, and technical excellence.
• Define and execute the strategic roadmap for data engineering initiatives aligned with business objectives.
• Design scalable, reliable, and efficient data architectures to support analytics, machine learning, and business intelligence.
• Partner with cross-functional leaders to understand data requirements and deliver impactful solutions.
• Establish data engineering best practices, standards, and governance processes.
• Drive the selection, implementation, and optimization of data technologies and tools.
• Ensure data quality, reliability, and security across all data systems.
• Manage project prioritization, resource allocation, and budget for the data engineering function.
• Build and maintain strong relationships with key stakeholders across the organization.

• 10+ years of progressive experience in data engineering, with at least 5 years in leadership roles.
• Proven track record of successfully building and leading high-performing data engineering teams.
• Deep hands-on technical expertise in data integration, ETL/ELT processes, and data modeling.
• Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt).
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services.
• Excellent understanding of data governance, compliance, and security principles.
• Outstanding communication and interpersonal skills with the ability to influence at all levels.
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.

Preferred Qualifications:

• Knowledge of real-time data processing frameworks and streaming technologies.
• Background in machine learning operations (MLOps) and data science infrastructure.
• Experience working in the aviation, transportation, or logistics industry or with similar data challenges.
• Track record of speaking at industry conferences or publishing on data engineering topics.

Salary Range: $210,000 - 250,000

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. 

To view our Pay Transparency Statement, please click here: Pay Transparency Statement 

• 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.

• 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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

• 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.

• 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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement

• 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.

• 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.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement