Data Governance & Management Lead

Company Description

Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all
, we are an uncompromising energy company that makes coming clean a no brainer. Our award‑winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. Operating at the intersection of B2B and D2C, we offer software, financial products, and services that drive real environmental impact—without compromising value. We deliver end‑to‑end solutions for whole‑home electrification that put clean energy within reach for all.

Our employees are our most valuable resource. We foster a promote‑from‑within culture that prioritizes talent development, career growth, and purpose‑driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance.

Join us in building a brighter, cleaner world.

The Principal Data Governance & Management lead will play a crucial, senior‑level role in defining, implementing, and enforcing the data governance framework and data privacy accountability framework across Palmetto. This position requires a blend of deep technical understanding, strong analytical skills, and the ability to influence stakeholders at all levels. The lead will be responsible for ensuring data quality, compliance, and effective data lifecycle management to support strategic decision‑making and operational excellence.

As the DGM lead, you will collaborate with the Data & AI Office to elicit and analyze data privacy and management requirements to help build a first‑class data governance and management practice.

• Develop, maintain, and champion the enterprise data governance framework, policies, standards, and procedures in collaboration with executive leadership, Data & AI, Cybersecurity, and IT.
• Design end‑to‑end data governance and data management solutions that aligns with enterprise standard and regulatory expectations.
• Act as focal data steward and drive the implementation of data governance tooling and platforms (e.g., data catalogs, quality monitoring systems).
• Drive Data Loss Prevention (DLP) strategy and lead the implementation of DLP tooling.
• Define and track key metrics (KPIs) to measure the effectiveness and maturity of the data governance program.
• Participate and contribute to AI, Information Risk Council (IRC) and IT Governance Council (ITGC) councils.
• Ensure compliance with global and regional data‑related regulations (GDPR, CCPA/CPRA, etc.) and internal policies.
• Partner with Legal, Core Systems, Engineering, and Cybersecurity teams to assess data risks and establish appropriate controls for data access, usage, and retention.
• Conduct regular audits of data governance compliance and report findings to relevant stakeholders.
• Develop and manage the data retention and archival policies in line with regulatory requirements.
• Develop and deliver training and awareness programs on data governance and privacy policies, roles, and responsibilities.

• Bachelor's or Master's degree in Data Science, Computer Science, Information Management, or a related field.
• Minimum of 8 years of experience in data management, data quality, business intelligence, or a related field, with at least 5 years focused specifically on data governance and policy implementation.
• Proven experience implementing and managing an enterprise data governance program.

• Expert‑level knowledge of data governance principles, data quality management, metadata management, and data lineage.
• Strong proficiency with data governance and DLP tools (Trust Arc, Collibra, Alation, etc.).
• Knowledge of database technologies (SQL, No
  
  SQL) and data warehousing concepts.
• Knowledge of cloud environments and data platform architectures…