Data and Artificial Intelligence Governance Engagement & Delivery Senior Manager
Company: Boeing
Location: Seattle
Posted on: April 2, 2026
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Job Description:
Data and Artificial Intelligence Governance Engagement &
Delivery Senior Manager Company: The Boeing Company The Boeing
Company is currently seeking a Data and Artificial Intelligence
Governance Engagement & Delivery Senior Manager to join the team in
Seattle, WA; Dallas, TX; Mesa, AZ; North Charleston, SC; or Ridley
Park, PA . We are seeking a dynamic, people-focused Senior Manager
to lead Data and Artificial Intelligence (AI) Governance Engagement
& Delivery across the enterprise. This role combines strategic
leadership, hands-on delivery, and cross-functional engagement to
operationalize enterprise data and AI governance, scale data
stewardship, and enable governed use of Data & AI. The ideal
candidate has proven experience building and running enterprise
data governance programs, deep knowledge of Data and AI governance
frameworks and model risk controls, strong familiarity with data
platforms and governance tools, excellent collaboration and
stakeholder management skills, and a demonstrated ability to lead
teams and community engagement. Position Responsibilities: Lead
end-to-end delivery of the enterprise data and AI governance
program: strategy execution, governance operating model, policies,
standards, roadmaps, and metrics Design, implement, and
operationalize AI governance controls (model inventory, model risk
assessments, model documentation, model monitoring, explainability
and fairness checks) alongside data governance practices. Build,
grow, and enable the data stewardship and model stewardship
communities and governance councils; define roles,
responsibilities, and operating processes for stewards Serve as
primary engagement lead for data and AI governance initiatives with
business and technology stakeholders; translate business needs into
governance requirements and delivery plans Implement and operate
data governance tooling and metadata solutions (e.g., Collibra,
Alation, Microsoft Purview, Informatica Enterprise Data Catalog
(EDC)) and AI governance platforms or modules in partnership with
platform and engineering teams Collaborate with Data Platform, Data
Engineering, Machine Learning (ML)/AI, Security, Legal, Privacy,
and Analytics teams to integrate governance controls, ensure
compliance with Data & AI policies, and enable secure, responsible
model deployment Develop and track governance Key Performance
Indicators (KPIs) and dashboards (data quality, stewardship
adoption, data lineage coverage, policy adherence, model inventory
coverage, model validation status), and report progress to
leadership Coach, mentor, and grow a high-performing team focused
on engagement, change management, and governance delivery Drive
change management and communication plans to increase data and AI
literacy and adoption of governance practices across the
organization Facilitate resolution of data ownership, access, model
ownership, and policy interpretation issues; escalate as required
Basic Qualifications (Required Skills/Experience): 10 years of
experience in data governance, data management, and/or a related
function within aerospace, defense, or other highly regulated
industries 10 years of experience people management experience do
you have, to include responsibility for performance management and
career development of direct reports 5 years of experience in
leading Data Stewardship 5 years of experience leading Data and
Artificial Intelligence (AI) Governance Programs 5 years of
experience collaborating and communicating to work across
Information Technology and Information/Government Security
Functions Preferred Qualifications (Desired Skills/Experience):
Bachelor’s, Master’s or Ph.D. degree in Computer Science,
Information Management, Data Science, Business Administration, or
related field Certifications in data governance, data management,
AI governance, or metadata tools (e.g., DGSP, CDMP, Collibra
Certification) Experience in regulated industries (aerospace,
finance, healthcare) or large enterprise environments Experience
with data quality tools and practices, data modeling, and master
data management Experience with AI-specific tooling for governance
(model registries, monitoring frameworks, feature stores) and ML
Ops practices 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: $191,250 – $277,150 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)
Keywords: Boeing, Federal Way , Data and Artificial Intelligence Governance Engagement & Delivery Senior Manager, IT / Software / Systems , Seattle, Washington
