Hybrid Mid-Level Data Catalog Product Specialist

at Boeing

• Job title: Mid-Level Data Catalog Product Specialist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $105,400 - $152,950 per year
• Degree requirement: No Education Requirement
• Tech skills: Amazon Redshift, AWS, Azure, BigQuery, Cloud, Google Cloud Platform
• Location requirements: Hybrid, Seattle, United States

About the role

• Data Catalog Product Specialist driving product vision and data governance at Boeing. Collaborating with diverse teams to enhance data discoverability and trust across the organization.

Responsibilities

• Support & drive product vision, strategy, and roadmap for the Alation Data Catalog to support data discovery, data lineage, stewardship workflows, access policies, and metadata management across Boeing
• Conduct user research and stakeholder discovery (data stewards, analysts, engineers, data consumers, security teams) to define product requirements and prioritize backlog using outcomes/KPI-driven decision making
• Define, measure, and iterate on KPIs (e.g., catalog adoption, active users, metadata coverage, stewardship SLA, search success rate, data asset usage) and deliver regular product metrics and reports
• Partner with Data Engineering and Platform teams to integrate Alation with enterprise data sources and metadata harvesters (Teradata, Google BigQuery, AWS Redshift, cloud object stores, data warehouses, etc.), ensuring scalable, secure integrations
• Act as a primary business-facing product owner for the catalog: run demos, onboard new user groups, design training/enablement, and evangelize value internally and externally where needed
• Design and deliver BI/analytics for product metrics and user-reported outcomes; build dashboards and reports to track adoption, value delivered, and areas for improvement
• Support data governance processes (data ownership/stewardship assignments, access controls, policy enforcement workflows) and help operationalize governance playbooks with tooling
• Facilitate governance forums, stakeholder working groups, and prioritize enhancements that reduce friction and increase trust in corporate data assets

Requirements

• 3+ years of experience in technical product management or product ownership, specifically in data science, AI, data products, or related technical domains
• 3+ years of experience in an agile work environment
• 3+ years of experience with data governance frameworks and compliance standards relevant to data management
• 3+ years of experience with analytics technology stacks; Azure, GCP, Teradata, etc.
• Willing and able to travel domestically 10% of the time

Benefits

• health insurance
• flexible spending accounts
• health savings accounts
• retirement savings plans
• life and disability insurance programs
• paid and unpaid time away from work