Position: Principal Product Manager Data Platform
Location: Austin, TX
Duration: Long term contract
Ideal Candidate:
- The ideal candidate is not simply a traditional Product Manager or Scrum Master. We are looking for someone who can:
- Candidates with a combination of Product Management + Data Platform + Databricks/Lakehouse + Agile/Scrum experience are strongly encouraged to apply
Job Summary:
We are seeking an experienced Principal Product Manager Data Platform to lead the strategy, roadmap, backlog, and delivery of enterprise data platform capabilities.
This is a hands-on technical product management role with approximately 70% Product Management and 30% Scrum Master / Agile leadership responsibilities across two technical teams.
The ideal candidate will have strong experience managing data platform products, working with engineering and analytics teams, and enough technical depth in Databricks / Lakehouse technologies to effectively partner with architects, engineers, data teams, and business stakeholders.
Key Responsibilities:
- Own and manage the Data Platform product roadmap, vision, strategy, and backlog.
- Prioritize initiatives across platform modernization, technical debt, operational stability, data governance, and new analytics requirements.
- Work closely with engineering, data, architecture, security, compliance, and business stakeholders.
- Translate business requirements into clear epics, features, user stories, and acceptance criteria.
- Manage and prioritize the product backlog using appropriate prioritization frameworks.
- Provide product leadership across two technical delivery teams.
- Support Agile ceremonies and Scrum activities, including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives.
- Partner with technical teams on Databricks / Lakehouse platform capabilities, data architecture, governance, security, lineage, and self-service analytics.
- Help drive platform modernization and cloud/data transformation initiatives.
- Balance short-term operational requirements with long-term platform strategy and technical debt reduction.
- Manage competing priorities across multiple stakeholders and make data-driven product decisions.
- Establish and track measurable outcomes such as platform adoption, data quality, operational efficiency, modernization progress, and analytics enablement.
- Ensure product priorities align with organizational security, governance, risk, and compliance requirements.
- Communicate product strategy, priorities, dependencies, risks, and progress to senior leadership.
Required Qualifications:
- 10+ years of experience in Product Management, Product Ownership, Agile Delivery, or related technical leadership roles.
- Strong experience supporting technical/data engineering teams.
- Demonstrated experience owning a data platform or data product backlog end-to-end.
- Strong understanding of Data Platforms, Lakehouse architecture, cloud data technologies, and modern data engineering.
- Hands-on or strong working knowledge of Databricks or a comparable Lakehouse platform.
- Understanding of Delta Lake, Unity Catalog, data governance, security, and data lineage is highly preferred.
- Strong Agile/Scrum experience with the ability to operate as both a Product Manager and Scrum Master/Agile Lead.
- Proven ability to prioritize technical debt, modernization, operational stability, and business value.
- Excellent stakeholder management and communication skills.
- Experience working with cross-functional technical and business teams.
Preferred Qualifications:
- Experience in financial services or other regulated environments.
- Experience with enterprise-scale data modernization programs.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience enabling self-service analytics and data products.
- Experience with data governance, compliance, security, and audit requirements.
- Experience measuring product outcomes using KPIs and business/technical metrics.