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Boeing

Lead Data Steward

Posted An Hour Ago
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In-Office or Remote
Hiring Remotely in Vancouver, BC
108K-207K Annually
Senior level
In-Office or Remote
Hiring Remotely in Vancouver, BC
108K-207K Annually
Senior level
Lead Data Steward responsible for aviation data analytics products, data governance, product roadmap management, and cross-functional team coordination.
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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.
At Boeing Digital Services, you'll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency.
Boeing Vancouver is seeking Lead Data Steward, reporting to the Software Development Manager, working out of the Richmond BC office.
Lead Data Steward will be responsible for delivery of cutting-edge aviation data analytics products. As part of an integrated product team the Lead Data Steward will be part of technical team taking responsibility for Data Analysis, Data Maintenance and Data Product Development.
This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation, technical strategies and roadmaps for the success of each product and initiative.
This position has been identified as a virtual opportunity and will not require the selected candidate to relocate.
Position Responsibilities:
  • Lead stewardship for Aviation Operations data domains (flight telemetry, flight plans, maintenance, sensors, logs), owning data product roadmaps and delivery.
  • Define and enforce data product contracts: schema, semantics, SLAs, lineage, ownership, quality rules, and access policies.
  • Define and validate end-to-end data flows on Azure Databricks (ingest → transform → publish) to meet Machine Learning (ML) and Business Intelligence (BI) requirements.
  • Establish and operationalize a data quality framework and monitoring (completeness, accuracy, timeliness, schema drift) using tools and automated tests.
  • Drive metadata and catalog governance (business glossary, tags, descriptions, sample queries, contact points) and champion adoption of Unity Catalog or equivalent.
  • Lead change management for schema and feature changes, ensuring reproducibility and minimizing downstream impact to ML/BI assets.
  • Mentor and coordinate cross-functional teams (Data Engineers, Data Scientists, Product Owners, Ops SMEs) to deliver and maintain data products.
  • Oversee data access management and Role Based Access Control (RBAC), ensuring compliance with aviation security, privacy, and regulatory requirements.
  • Define runbooks, incident response procedures, and operational KPIs for data product health and reliability.
  • Act as the primary liaison for stakeholders, prioritizing enhancements, and resolving production escalations quickly.
  • Promote continuous improvement through data profiling, harmonization, enrichment, and automation of manual data tasks.

Basic Qualifications (Required Skills/Experience):
  • 8+ years of experience in data stewardship, data governance, data engineering, or related roles.
  • 2+ years in a senior/lead capacity.
  • 2+ years of experience implementing strategy related to data quality tooling and pipelines.
  • Must be legally able to work in Canada.
  • Individuals must not pose a risk for safeguarding of controlled goods.
  • Must be eligible to handle US export-controlled data.

Preferred Qualifications (Desired Skills/Experience):
  • Prior experience in aviation/flight operations, or working with time-series, telemetry, and sensor datasets
  • Familiarity with ML feature stores, MLOps practices, and ensuring feature lineage and reproducibility
  • Familiarization with Azure Databricks and Delta Lake, including designing transformative jobs, clusters, and job orchestration
  • Familiarization of Bronze/Silver/Gold layering and best practices for feature readiness and ML use cases
  • Understanding of RBAC/IAM on Cloud and managing secure data access in enterprise environments
  • Understanding of cloud ecosystem: Storage, Monitoring and Deployment
  • Understanding of Data distribution ecosystem like Databricks
  • Experience with metadata/catalog tools (preferably Unity Catalog or Alation)
  • Understanding of CI/CD for data pipelines, Git-based workflows, and infrastructure-as-code patterns
  • Excellent stakeholder management, written and verbal communication skills, and ability to translate business needs to technical requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, Aviation, or related field or equivalent experience

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Additional Information:
This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.
Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Salary pay range British Columbia - $116,000.00 - $207,000.00 CAD
Salary pay range Ontario - $108,000.00 - $193,000.00 CAD
Applications for this position will be accepted until Mar. 20, 2026
Export Control Requirements:
This is not an Export Control position.
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Top Skills

Azure Databricks
Business Intelligence
Data Quality Tools
Machine Learning
Mlops
Rbac
Unity Catalog

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