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.

Job description