Senior Data Governance Specialist at Boeing
Seattle, Washington, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Nov, 25

Salary

159850.0

Posted On

02 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Artificial Intelligence, Data Analytics, Executive Leadership, Strategy, Analytics, End User Research, Information Technology

Industry

Information Technology/IT

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 Enterprise Artificial Intelligence & Data team is seeking a Senior Data Governance Specialist!
The role is responsible for defining and enabling data and Artificial Intelligence (AI) governance policies across the data product lifecycle and product roadmap while aligning it with Boeing’s objectives to enable compliance and business value across the enterprise.
The specialist will work closely with cross-functional teams to define and enable data and AI governance across product lifecycles from conception to launch, driving adoption of new data driven products. The role will engage directly with the business users and stakeholders across Boeing and will be accountable for driving data, digital thread and AI policies and standards towards a well governed data product, unlocking business value.
Additional responsibilities for this role include defining data governance policies, driving compliance towards data policies and risk mitigation, de-risking product development, monitoring data product performance, data maturity.
We are looking for a data and AI specialist with strong communication skills – ability to communicate complex messages and trade-offs and tell a compelling story; strong leadership skills – ability to work with and influence a diverse group of stakeholders; a passion for challenging the status quo, finding new solutions, and driving innovative ideas.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

  • 3+ years of experience leading Data and Artificial Intelligence (AI) Governance Programs
  • 3+ years of experience working in a cross-functional environment with all levels in the business from individual contributors to executive leadership
  • 3+ years of experience working within a global development team
  • 3+ years of experience in Information Technology & Data Analytics (IT&DA)
  • 3+ years of experience in road mapping, story lining and delivering a data product based on end user research
  • Willing and able to travel 10-20% of the time, both internationally and domestically

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

  • Bachelor’s degree or higher
  • Experience with navigating through ambiguities and building a highly effective, strong execution team for the overall product success
  • Experience with agile implementation and CI/CD
  • Experience in developing strategy and implementation of digital thread concept in industrial domain
  • Experience defining and implementing digital thread technologies in an industrial domain
  • Experience building and leading technical teams in data, digital and analytics within industrial domain
  • Experience interfacing between business and technical domains
  • Experience influencing at all levels of the organization
Responsibilities
  • Own definition of Data and AI Governance policies to deliver governed data products
  • Develop and maintain comprehensive data governance product plans and roadmaps, ensuring that capabilities are delivered on time and within scope, unlocking business value
  • Develop and maintain Data and AI compliance with policies and risk mitigation
  • Driving Data and AI adoption across product development
  • Collaborate with stakeholders to ensure the data and AI governance strategy and roadmap are aligned to the division strategy and objectives and key results (OKRs)
  • Establish maturity measurement across the data and AI product development life cycle for clarity in progress and business value delivered
  • Develop end to end knowledge base across the data product life cycle to build an impactful story beyond project execution for stakeholders at both working and leadership levels
  • Mentor, develop and evaluate product development teams
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