Data Product Owner
About The Position
Moog’s IT Data Management Team is looking for a Data Product Owner to join them! In this role you will be responsible for defining, prioritizing, and delivering data products that support enterprise analytics, reporting, and operational decision-making. You will serve as the bridge between business stakeholders and technical teams, ensuring that data assets such as curated data sets, metrics frameworks, and dashboards are intentionally designed, consistently governed, and aligned with organizational strategy. You will work a hybrid schedule at our East Aurora, NY facility. This role requires access to U.S. export-controlled information. Must live local to the Buffalo, NY area to work onsite.
Requirements
- Typically, bachelor's degree in computer science, management information systems, or related field.
- Over five (5) years’ experience in data analytics, business analysis, and/or product management.
- Strong understanding of data models, KPIs/metrics, dashboards, and analytics tools (i.e. PowerBI, Tableau, etc.)
- Familiarity with data governance practices, data quality frameworks, and agentic insights.
- Proven experience translating business requirements into technical specifications.
- The ability to manage cross-functional stakeholders and competing priorities.
- Excellent communication, facilitation, and documentation skills.
- Must live local to the Buffalo, NY area to work onsite.
Nice To Haves
- Experience working in Agile delivery environments.
- Experience in Aerospace & Defense or similarly regulated industries; knowledge of export controls (ITAR/EAR).
- Exposure to PLM/ERP integrations (e.g. Teamcenter, SAP), MES/Quality systems, and advanced analytics/data lake pipelines.
Responsibilities
- Define the purpose, value, and roadmap for assigned data products.
- Translate organizational priorities into product requirements and release plans.
- Establish and maintain KPI definitions, data standards, and success measures.
- Lead discovery sessions with business partners to understand needs and pain points.
- Author business requirements, detailed user stories, technical specifications, and acceptance criteria.
- Document source systems, transformation logic, and data quality expectations.
- Develop and maintain vision and roadmap for each data product.
- Serve as primary liaison between data architecture, data engineering, analytics, and business teams.
- Facilitate alignment on metric definitions and governance standards.
- Communicate product updates, decisions, and changes clearly and consistently.
- Prioritize product backlog based on business value, effort, dependency, and strategic goals.
- Partner closely with data engineering and BI developers during build cycles.
- Validate sprint increments and approve deliverables based on acceptance criteria.
- Proactively identify and resolve risks, data gaps, and technical blockers.
- Validate delivery and ensure solutions meet stakeholder expectations.
- Maintain documentation of data lineage, metric definitions, and usage guidance.
- Ensure data products adhere to governance, compliance, and security requirements.
- Monitor product performance and drive continuous improvement.
Benefits
- great compensation package
- annual profit sharing
- matching 401k
- Employee Stock Purchase Plan
- Flexible Spending and Health Savings Accounts
- Flexible paid time off
- holidays
- parental leave program
- Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
- Tuition Assistance
- mentorship and coaching opportunities
- leadership development
- personal growth programs
- Employee Resource Groups
- cultural events
- celebrations
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
