Über
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
Sprachkenntnisse
- English
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