Senior Systems and Data Analyst

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)

• 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
• 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, Big Query)
• Knowledge of data modeling concepts (conceptual, logical, physical) and MDM principles
• 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.