Data Product Manager

National Veterinary Associates (NVA) is hiring a Data Product Manager to own the delivery and success of one or more data products. The role co-owns product roadmaps with business partners, coordinates cross-functional delivery, and drives product quality, adoption, and measurable business value.

Responsibilities:

• Co-own the roadmap for your assigned data product(s) together with business partners, translating their needs and priorities into a clear, sequenced product backlog
• Set and continuously reprioritize the backlog for your product with your POD (product-oriented delivery team), balancing business value, effort, and dependencies
• Partner with business product owners and domain stakeholders to define product requirements, success criteria, and acceptance criteria for each release
• Manage stakeholder expectations on scope, timing, and trade-offs for your product, communicating status, risks, and decisions clearly and proactively
• Collaborate with Data Engineering to ensure your product is built on reliable, scalable data pipelines and platform architecture, and to sequence delivery within POD capacity
• Work with BI/Analytics and AI teams to incorporate reporting, self-serve analytics, and AI/ML capabilities into your product where they add value
• Partner with Data Governance to ensure your product meets standards for data quality, definitions, lineage, and compliance, and aligns to NVA’s broader data strategy
• Define and track the metrics that measure your product’s success—adoption, data quality, business impact, and time-to-value—and use them to guide priorities
• Drive the end-to-end delivery of your data product—from discovery and definition through build, testing, launch, and iteration—removing blockers and keeping stakeholders informed
• Promote and champion adoption of your product with business partners through demos, enablement, documentation, and ongoing support, actively driving usage
• Gather and synthesize user feedback, monitor product performance, and continuously improve the product to better serve business needs
• Stay current on data product management practices, tooling, and emerging technology (including AI), and apply them to improve how your product is built and adopted

Requirements:

• 5–8 years of experience in data product management, product ownership, analytics, or a related field, including 2+ years managing or owning data or analytics products
• Track record of delivering data or analytics products end to end—from requirements through launch and adoption—with demonstrated business impact
• Working familiarity with modern data platforms and analytics tools (e.g., data lake/lakehouse architectures, Azure/Fabric, Snowflake, Power BI) and how data engineering, BI, AI, and governance come together to deliver data products
• Strong stakeholder management and communication skills, with the ability to partner with business owners, align cross-functional teams, and manage expectations on scope and timing
• Strong analytical and product-thinking skills; ability to translate ambiguous business needs into clear data product requirements and actionable roadmaps for both technical and non-technical audiences
• Bachelor's degree in Information Management, Computer Science, Business Administration, Statistics, or a related field
• Product management certification (e.g., Pragmatic Institute, SAFe Product Owner / Product Manager)
• Relevant data platform or analytics certification (e.g., Azure, Snowflake, Power BI)
• 8+ years in data product management, analytics, or a related field, with experience delivering data products in a regulated or multi-site industry
• Experience in veterinary, healthcare, or multi-site services industries, with understanding of clinical and operational data domains (e.g., patient records, PIMS systems, practice management data)
• Experience delivering data products that incorporate BI/self-serve analytics and AI/ML capabilities
• Experience working in agile or product-oriented delivery teams (PODs), collaborating closely with data engineering and analytics partners
• Master's degree (MBA, MS in Data Management, Information Systems, or related field)