Senior Systems and Data Analyst
About The Position
The Boeing Company is seeking a proactive Data Steward to serve as the single point of contact between business stakeholders and engineering teams. The ideal candidate will gather and translate business requirements, ensure data is well-defined, accessible, and fit for purpose, and partner closely with engineering to design, develop, test, and deploy data solutions. A deep understanding of end-to-end process flows, data lifecycle, governance, and data quality management is essential. The role requires a customer-focused mindset, strong collaboration and facilitation skills, attention to detail, and the ability to manage multiple priorities. Proactive ownership and accountability are key, as is comfort working in cross-functional, agile environments.
Requirements
- 5+ years of experience as a data or business analyst
- 5+ years of experience in Artificial Intelligence (AI) governance, data governance, or related governance / compliance roles
- 5+ years of experience with data governance frameworks and compliance standards relevant to data management
- 5+ years of experience partnering directly with product, platform, engineering, or technical operations teams to implement governance within delivery environments
- 5+ years of experience with integrating export controls, sanctions, or government contract requirements (ITAR/EAR/GTC/CDRL) into data governance
- 5+ years of experience working with Data Quality or Data Cleansing activities
- 5+ years of experience demonstrating exceptional business, analytical, and problem-solving skills
- Must 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.
Nice To Haves
- Proficiency with SQL for data exploration and validation
- Experience with data catalog/metadata tools (e.g., Collibra, Alation, Informatica)
- Experience with data integration and orchestration tools (e.g., Airflow, Talend, DBT)
- Experience with cloud data platforms (e.g., AWS, Azure, GCP) and data warehousing technologies (Snowflake, Redshift, BigQuery)
- Knowledge of data modeling concepts (conceptual, logical, physical) and MDM principles
- Experience with data quality tooling
- Certifications in data governance, data management, or cloud platforms are a plus
- Excellent communication skills; able to present complex data topics to business and technical audiences
Responsibilities
- Act as the single point of contact for assigned data domains; build and maintain strong relationships with business stakeholders and engineering teams
- Elicit, document, and prioritize business requirements related to data definitions, access, transformations, and reporting needs
- Translate business requirements into technical specifications and acceptance criteria for engineering
- Partner with engineering and data platform teams to design, develop, test, and deploy data solutions
- Define and maintain data definitions, business glossary, canonical records, and metadata to ensure consistent use across the organization
- Own data access processes: manage access requests, role-based access controls, and ensure compliance with security and privacy policies
- Implement and monitor data quality rules, perform profiling, triage issues, and coordinate corrective actions with data owners and engineering
- Map and maintain data lineage and end-to-end process flow documentation to support traceability and impact analysis
- Establish Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) for data quality, availability, and timeliness; report status and trends to stakeholders and leadership
- Facilitate data governance forums, stewardship councils, and working groups to drive standards, policies, and issue resolution
- Support onboarding of new data consumers by providing training, documentation, and self-service resources (data catalogs, playbooks)
- Advocate for continuous improvement in data processes, automation, and observability.
Benefits
- health insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid and unpaid time away from work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
