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The Senior Data Product Owner is an outcome‑driven leader who owns the vision, roadmap, and results for our Client Data Onboarding and Client Analytics products. This role translates complex customer and business needs into clear product strategies and prioritized roadmaps, partnering closely with Data Engineering, Platform, Security, and customer‑facing teams to deliver reliable datasets and intuitive analytics at scale. As a senior product leader, this role embeds governance, quality, and cost discipline by design, ensuring certified data products deliver trusted, repeatable value to the business and clients.
Job Responsibility:
Own and continuously refine the product vision and multi‑quarter roadmap aligned to business goals and customer outcomes
Define success metrics and targets and make prioritization tradeoffs transparent
Maintain a well‑groomed backlog with clear epics, user stories, and acceptance criteria
Define Data Strategy and growth of our data platform
Translate onboarding needs into explicit data contracts, mappings, and validation rules
codify reusable onboarding playbooks
Embed governance‑by‑design, including role‑based access, lineage, and PII controls within product workflows
Define certification criteria and documentation standards for publishable datasets and dashboards
Partner with engineering to deliver ingestion pipelines and data models using Databricks
Establish predictable refresh cadences, SLAs, and runbooks
manage cost and performance against agreed budgets
Drive release readiness, cutover planning, and post‑release hypercare to stabilize new data products
Collaborate daily with Data Engineering and Platform teams
partner closely with Implementations during onboarding
Engage Customer Success, Support, and Sales to capture feedback and validate usability and adoption
Serve as the escalation point for complex onboarding scenarios and non‑standard data integrations
Publish metric definitions, data dictionaries, and product documentation to promote adoption of certified assets
Build reusable SOPs, templates, and checklists that scale onboarding and analytics delivery
Enable internal teams through training and documentation to reinforce best practices
Requirements:
8+ years of product management experience
3+ years owning data or analytics products
Strong understanding of ETL/ELT, data modeling, and BI delivery
Hands‑on literacy with Databricks Lakehouse technologies (Delta, Unity Catalog, DLT)
Excellent written and verbal communication skills
Proven ability to lead through influence and mentor other product practitioners