At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company has an exciting opportunity for a Data Science and Analytics Senior Manager with the Corporate Audit Leadership Development Program. The selected candidate will virtually support the Corporate Audit’s Strategic Business Hubs.

Our Strategic Business Hubs are located across the United States in: Renton, WA; Seattle, WA; Everett, WA; Berkeley, MO; Hazelwood, MO; and Plano, TX.

Are you ready to embark on an exciting career journey with one of the worlds leading aerospace companies? As a Data Science and Analytics Senior Manager, you will be a member of Boeing’s Corporate Audit Data Analytics Team, a national team covering a wide range and scope of audit activities. The selected candidate will assist Corporate Audit in accomplishing its objectives by bringing a systematic and disciplined approach to evaluate and improve the effectiveness of Boeing’s governance, risk management and internal control environment by providing oversight to the team’s data and automation support to perform independent evaluations of the adequacy and effectiveness of Boeing’s production, finance, operations, compliance and technology functions.

Why Boeing?

At Boeing, we dont just build aircraft; we shape the future of aerospace. Our finance professionals are at the heart of this innovation, contributing to aviation and aerospace products that make a difference in the lives of people around the world. Were not just connecting and protecting; were exploring new frontiers. Be part of a company that thrives on intellectual curiosity and fosters an environment that is welcoming, respectful, and inclusive.

What We Offer You:

Industry leading benefits: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package that goes above and beyond competitive compensation, comprehensive health benefits to tuition reimbursement, a leading 401k plan and work life balance such as wellness programs, education assistance, role specific training and certifications and much more.

Career growth and direction: We are here to support you on your career journey by offering tuition reimbursement through our Learning Together program and much more. Boeing promotes internal movement and growth so you can find the best role for you at any stage of your career. Build your future here and let us be part of it!

Work that matters: Whether it is connecting people across the globe, transporting aid or reaching for Mars, Boeing is leading the way in making our world a better place. Are you ready to embark on an exciting career journey with one of the worlds leading aerospace companies?

Position Responsibilities:

• Team management: Oversee a team of data scientists, architects, and engineers that work primarily on projects focused on Artificial Intelligence (AI) and Amazon Web Services (AWS) initiatives.

• Run daily team operations: Operate using modified Scrum framework that enables management of its many needs and demands. The team manager is responsible for ensuring priorities are followed, urgent work is done timely, and planned work progresses on schedule.

• Enhance the platform: Alongside architects, data scientists, leads, and technology Subject Matter Experts (SMEs), the manager will develop a roadmap and then lead the design and execution of the roadmap’s vision and goals.

• Collaborate with Peer Teams: The manager will contribute to architecture decisions and facilitate cross-team collaboration to maximize the operational efficiency and stability of the overall infrastructure platform.

• Collaborate with Development Teams: The manager will ensure effective communication, dependency management, and tracking of cross-team projects and needs. The manager and his or her engineers will ensure that all critical facets are considered such as security, cost efficiency, stability, and operational maturity.

• Foster a culture of service ownership: Foster a culture of excellence through code-to-production service ownership. Each team owns what they build from inception to design to production health and stability.

• Build, Mentor, and Lead: Oversee, grow, and develop a team of data scientists and engineers by focusing on DevOps culture, communication, engineering excellence, and career development.

Team Responsibilities:

• Evaluate advanced business analytics problems into technical approaches that yield actionable recommendations and identify trends, patterns, and insights for data-driven decision making

• Design anomaly detection models and continuous monitoring solutions

• Choose best fit methods, define algorithms, validate, and deploy models to achieve business results

• Perform exploratory data analysis, generate and test working hypotheses, and uncover meaningful trends and relationships

• Create production quality Machine Learning (ML)/AI models that can be deployed at scale

• Make use of AWS technologies in solution development, recommend and develop new capabilities

• Communicate technical details of solutions, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders

• Support the identification, development, and automation of risk assessment metrics to support the annual audit plan

• Identify themes, trends, and emerging risks for the company

• Develop and maintain partnerships while working in a cross-functional team of Data Engineers, Product Owners, and Business Intelligence Analysts

• Exercise critical thinking and innovative problem solving

Basic Qualifications (Required Skills/Experience):

• Bachelor’s degree or higher

• 5+ years of experience managing projects with engineers and data professionals, focusing on innovation, quality management, and analytics in natural language processing and machine learning on unstructured data

• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

• Experience with AWS resources, configuration, deployment, and architecture

• Experience with problem-solving and communication skills, with the ability to explain complex technical concepts to business stakeholders

• Experience with data preparation methods and machine learning algorithms; experienced in the complete data science process from discovery and cleaning to model selection, validation, and deployment

• Experience in developing tools using Large Language Models (LLMs), with skills in restructuring, refactoring, and optimizing code for efficiency

• Experience working with and organizing cross-functional teams at all levels

Preferred Qualifications (Desired Skills/Experience):

• Bachelor’s degree or higher in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)

• 1+ years of experience with AWS

• Experience in aerospace manufacturing operations and/or manufacturing support

• Experience working in technology, manufacturing, or finance

• Experience with leading a high-performing analytics teams

• Experience with command-line scripting, data structures, and algorithms

• Experience working in a role that develops Data Science solutions as part of a cross-functional team that includes Data Engineers, Product Owners, and Business Intelligence Analysts

• Experience working in highly regulated environments (e.g., aerospace, defense, financial services)

• Experience utilizing a diverse array of technologies and tools as needed to deliver insights, such as fluency in Python

• Experience writing production level code

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as spanet and business considerations.

Summary pay range: $147,900 – $230,000

Applications for this position will be accepted until Oct. 03, 2025

Education

Bachelors Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.