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BO

Boeing

via Workday

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Data Science Senior Manager

Mesa, Arizona, Berkeley, Missouri, North Charleston, South Carolina, Seattle, Washington
Full-time
Posted 2/19/2026
Direct Apply
Key Skills:
Agile Product Management
API Development
React
Next.js
Power BI

Compensation

Salary Range

$90K - 130K a year

Responsibilities

Leading product development and backlog prioritization for digital and cloud-native software solutions.

Requirements

Over 10 years of product management experience with strong skills in Agile, software delivery, and cross-functional collaboration but no direct experience in data science, AI/ML, or Python.

Full Description

Data Science Senior Manager Company: The Boeing Company The Boeing Company’s Enterprise Artificial Intelligence (AI) & Data organization is currently seeking a Data Science Senior Manager to join the team in Berkeley, MO; Mesa, AZ; North Charleston, SC; or Seattle, WA. The role is responsible for technically leading and managing a team of Data Scientists and Business Intelligence (BI) Analysts to deliver high-impact, data-driven solutions that advance enterprise AI capabilities. The manager will work with business stakeholders and product managers to ensure requirements are well founded and ready for AI/Machine Learning (ML) development, and they will engage with executive leadership to communicate the art of the possible with AI and machine learning while setting realistic expectations. This role will require collaboration with the AI Platform team to influence ML Ops system recommendations and to translate high-priority data scientist needs into actionable requirements. This leader will work closely with cross-functional teams to guide projects from ideation to delivery, drive adoption of AI-powered solutions, and ensure alignment with enterprise data strategy and governance. Position Responsibilities: Lead and manage a team of Data Scientists and BI Analysts to deliver high business impact AI/ML and analytics solutions Collaborate with business stakeholders and product managers to elicit, refine, and prioritize requirements; ensure use cases are well found, measurable, and aligned to business outcomes Educate executive level leadership on the state of the art in AI/ML, set realistic expectations, and articulate a clear roadmap for AI capabilities across the enterprise Drive end-to-end project delivery, from problem framing and data discovery through model development, validation, deployment, and value realization Establish and enforce best practices for modeling, experimentation, reproducibility, and documentation; promote responsible AI, fairness, and governance Partner with the AI Platform team to shape ML Ops recommendations, model monitoring, deployment pipelines, and data/model governance strategies; translate team needs into actionable platform requirements Mentor and develop team members, promote professional growth, and cultivate a high-performing data science/analytics culture Collaborate with data engineering, data governance, and IT to ensure data quality, accessibility, security, and compliance Communicate progress and impact to executive stakeholders; translate complex technical concepts into clear, business-relevant narratives Basic Qualifications (Required Skills/Experience): 5+ years of experience in Data Science and building Artificial Intelligence (AI) & Machine Learning (ML) models 5+ years of experience working on teams and projects that involve cross-functional and/or cross-business domains with executive interface experience 5+ years of experience with python, ML Ops and Data Ops frameworks 5+ years of experience in managing a team or as a technical lead Preferred Qualifications (Desired Skills/Experience): Bachelor’s, Master’s or PhD in a relevant field (e.g., Data Science, AI, Engineering, Statistics) Experience in ML Ops concepts: scalable deployment, model monitoring, continuous integration/continuous deployment for ML Experience with AI/ML in a production environment and real-world business impact Experience with data visualization, BI tools, and communicating insights to business users Experience working within a geographically and culturally diverse team Experience in aerospace or complex manufacturing environments Conflict of Interest: Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace 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 market and business considerations. Summary pay range: $204,000 – $295,550 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning 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. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish) You can do work that enables all of humanity to take flight. Our teammates in more than 65 countries grow their careers across commercial airplanes, space, defense, sustainability and other areas. Here, you can contribute to what matters most in your career, in your community and around the world. Find answers to questions about applying, interviews, benefits, and more on FAQ page Boeing is committed to providing reasonable accommodations/adjustments to applicants with disabilities. Visit our accommodations page for more info.

This job posting was last updated on 2/21/2026

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