Lead Data Steward VIRTUAL Featured

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 Digital Services is seeking Lead Data Steward, reporting to the Software Development Manager.  The 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’ experience implementing strategy related to data quality tooling and pipelines

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

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: $138,550 - $215,050

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.

Shift

This position is for 1st shift

Equal Opportunity Employer:

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.