Data Science and Analytics Manager
Listed on 2026-07-16
-
IT/Tech
Data Science Manager, Data Analyst
Job Description
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 is currently seeking a Data Science and Analytics Manager to join the Finance Systems and Analytics (FS &
A) team in Tukwila, WA
.
As a First Line Manager, you will be a member of Boeing’s Finance Analytics team within FS & A driving innovation in the Finance function. You will lead a diverse multi‑skilled team performing the full spectrum of the Finance Analytics tech stack including Data Science, Data Engineering, Business Intelligence (BI) Engineering, Reporting and Automation. You will partner internally with our Core Integration Base Data Architects, Infrastructure Team, Project Managers, and Compliance Team to enable the delivery of world‑class Analytics solutions across Finance.
PositionResponsibilities
- Lead as a people‑first technical manager who cultivates talent through coaching, mentorship, and career development while delivering technical excellence and consistently exemplifying Boeing’s Values and Behaviors.
- Manage, grow, and develop the team by focusing on culture, communication, technical excellence, and career development.
- Provide vision, oversight and approval of technical approaches, products and processes.
- Develop and maintain relationships and partnerships with customers, stakeholders, peers, partners and direct reports.
- Develop and execute business and technical strategies and goals.
- Manage a multi‑skilled team of analytics professionals focused on the creation of key business enablers which span all facets of analytics including Artificial Intelligence (AI).
- Support Finance Analytics strategy and roadmap, lead the design and execution of the roadmap’s vision and goals.
- Support the technical strategy and governance integrating industry trends and best practice with the Boeing business model.
- Ensure organizational success through the usage of project management best practices, sound technical approaches and governance, security and compliance, and operational stability and maturity.
- Work effectively in collaborative analytics environments using modern analytics practices (code reviews, feature branches, agile delivery) and provide technical leadership across cross‑functional teams.
To be considered for this position you will be required to complete an assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.
Basic Qualifications- 1+ years of experience in SQL/T‑SQL.
- 1+ years of experience in programming with data analysis languages (R and/or Python).
- Experience with good communication skills to work with both technical and non-technical audiences.
- Experience working with cross‑functional or cross‑organizational teams to develop and implement plans, schedules, or solutions.
- Experience and/or exposure to artificial intelligence and machine learning.
- Candidates must have at least one year of experience in a leadership role (team leader, temporary manager, large scale cross‑functional project/program management, or formal manager experience) OR have completed the Boeing internal course “Exploring Leadership.”
- Bachelor’s Degree 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 in a leadership role (i.e., manager, project manager, team lead, etc.).
- Experience in a formal management role in a technical field.
- Experience working in technology, manufacturing, or business analytics.
- 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 with infrastructure such as code, automation tools and Continuous Integration and Continuous Delivery (CI/CD) for data infrastructure.
- Experience with security, privacy, and governance…
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