Sr. Data Product Owner
About The Position
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. This role is onsite 5 days a week at our Richardson, TX location. WHY THIS ROLE EXISTS Client success and adoption depend on fast, predictable onboarding and trustworthy analytics. This role ensures client data is accurately ingested, modeled, governed, and surfaced through certified datasets and dashboards that drive adoption, reduce time‑to‑value, and support scalable growth across the platform.
Requirements
- 8+ years of product management experience, including 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; able to influence executive and client‑facing stakeholders
- Proven ability to lead through influence and mentor other product practitioners
Responsibilities
- Own and continuously refine the product vision and multi‑quarter roadmap aligned to business goals and customer outcomes
- Define success metrics and targets (e.g., onboarding cycle time, data quality SLAs, analytics adoption/MAU, cost per run) 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 (Delta Lake, DLT, Workflows, SQL Warehouses)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
