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Principal Product Manager, Data Platform

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Medium
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below

About Good Leap

Good Leap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on Good Leap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations.

Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.

Good Leap is also proud to support our award-winning nonprofit, Give Power, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.

We are seeking a Principal Product Manager – Data Platform to define and lead the strategy, roadmap, and execution of Good Leap’s enterprise data platform. This is a pivotal leadership role responsible for enabling secure, scalable, and self-service data infrastructure that empowers teams across engineering, analytics, operations, and business units.

You will play a critical role in driving Good Leap’s evolution into a truly data-driven organization. This includes building trust in data through governance and cataloging, enabling compliant data sharing in regulated environments, and promoting modern platform capabilities that unlock value for both internal teams and customers. You’ll partner deeply with cross-functional leaders across all departments of the organization.

If you have a deep understanding of modern data architectures and platforms (without needing to be an engineer), a passion for scalable product thinking, and a strong track record of hands‑on product execution, this is the opportunity to help shape the foundation of data at Good Leap.

Essential

Job Duties and Responsibilities
  • Lead the vision, strategy, and roadmap for Good Leap’s enterprise data platform — aligning priorities across data engineering, analytics, business, and governance stakeholders
  • Champion the concept of Data as a Product, promoting reusable, well-documented, and discoverable data assets with clear ownership and lifecycle management
  • Partner with data engineering and analytics teams to support scalable, modern data infrastructure — while owning product strategy, user requirements, and success metrics
  • Drive key platform initiatives such as data ingestion, pipeline orchestration, data modeling and transformation, and real-time access, using tools like Databricks, Fivetran, and Spark.
  • Define and manage the product strategy for data governance and compliance capabilities — supporting regulatory requirements like PCI, CCPA, and FCRA
  • Lead the implementation and adoption of data cataloging and metadata solutions (e.g., Unity Catalog, Altan) to improve data discoverability, lineage, and documentation across domains
  • Collaborate closely with business stakeholders (e.g., Compliance, Risk, Finance, and Ops) to ensure the data platform supports their evolving needs with high trust and transparency
  • Create detailed product requirement documents, user stories, and technical specifications for integrations, data onboarding, and data product initiatives
  • Monitor platform usage, establish SLAs, and define success metrics to drive adoption and continuous improvement
  • Promote a culture of data stewardship and cross‑functional ownership to improve data quality, usability, and reliability
Required Skills, Knowledge, and Abilities
  • 10+ years of product management or related experience, with at least 4+ years focused on data platform, infrastructure, or enterprise data products
  • Deep familiarity with the modern data stack, such as Databricks or Snowflake, Airflow, DBT, Fivetran/Airbyte, Spark, Redshift, Big Query
  • Experience implementing data cataloging tools (e.g., Altan, Alation, Collibra, Unity Catalog) and defining data governance…
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