Senior Systems and Data Analyst

Senior Systems and Data Analyst

The Boeing Company is currently seeking a Senior Systems and Data Analyst to join the team in Tukwila, WA; Everett, WA; Mesa, AZ; Plano, TX; Ridley Park, PA or Seattle, WA.

We are 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.

Behavioral Competencies

• Customer-focused with a service mindset.
• Strong collaboration and facilitation skills.
• Detail-oriented and organized with the ability to manage multiple priorities.
• Proactive ownership and accountability; drives issues to resolution.
• Comfortable working in cross-functional, agile environments.

Success Metrics

• Timely collection and delivery of business requirements and technical specifications.
• Reduction in data quality incidents and faster mean time to resolution (MTTR).
• Increased adoption and accuracy of business glossaries and metadata.
• Measurable improvements in data access request turnaround times.
• Positive stakeholder satisfaction scores with data products and services

Position 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 Extraction Transform Load/Extraction Load Transform (ETL/ELT, models, pipelines, reports)
• 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.

Basic Qualifications (Required Skills/Experience):

• 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

Preferred Qualifications (Preferred Skills/Experience):

• 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