Data Governance Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and manage Planet's enterprise data governance initiative and operational framework.

• Create governance structures, policies, standards, decision-making rights, escalation procedures, and governance timelines.

• Lead and facilitate the data governance council and associated working groups.

• Conduct governance maturity assessments using a recognized framework.

• Oversee enterprise data quality management, which includes maintaining critical data element inventories, quality benchmarks, thresholds, profiling, rules, monitoring, scorecards, root-cause analysis, and corrective actions.

• Establish and uphold metadata, data lineage, and the business glossary.

• Implement and manage the data catalog.

• Define standard business terminology and certified metric definitions.

• Capture comprehensive data lineage from source fields through curated layers to reporting.

• Direct data privacy, classification, and regulatory data controls for NPI and PII.

• Collaborate with Information Security on access, data masking, and entitlement design.

• Manage data retention and lifecycle requirements.

• Act as the data governance liaison for internal audits, SOC, investor, agency, and regulatory reviews.

• Generate evidence and monitor remediation efforts.

• Recruit, train, and assist business data stewards and data owners.

• Define stewardship roles, responsibilities, and expectations.

• Conduct onboarding and ongoing training initiatives.

• Promote adoption through change management, effective communication, and quantifiable participation.

• Perform additional duties as assigned.

⛳️ Requirements

• A Bachelor’s degree in Information Systems, Business, Finance, Computer Science, or a related field is required.

• At least eight (8) years of experience in data management, data governance, data quality, or a closely related field.

• A minimum of three (3) years in leading a data governance or data quality program with direct accountability for program results.

• At least three (3) years of experience in mortgage lending or financial services, including familiarity with the loan lifecycle and related data.

• Proven experience in establishing a governance program from an initial immature or fragmented state.

• Experience in identifying critical data elements and implementing measurable data quality controls in a production environment.

• Proficiency in implementing and managing a data catalog or metadata management system.

• Experience in supporting regulatory assessments, internal audits, or investor and agency reviews, including evidence generation and remediation tracking.

• Familiarity with a recognized data management framework, such as DAMA-DMBOK.

• Strong understanding of mortgage origination and servicing data, including information related to loans, borrowers, properties, investors, escrows, and remittances.

• Knowledge of mortgage lending regulatory and investor reporting obligations, including HMDA, fair lending data, and agency/investor delivery standards.

• Understanding of GLBA, CCPA/CPRA, and FCRA, including compliance controls and documentation.

• Practical SQL skills for data profiling and quality validation.

• Experience with data catalog, data quality, or metadata management tools; familiarity with cloud data platform governance capabilities such as Snowflake.

• Understanding of data classification, masking, tokenization, and role-based access design.

• Ability to create clear policies, standards, and procedures.

• Strong facilitation abilities.

• Capability to influence business leaders and ensure accountability without direct authority.

• Excellent written and verbal communication skills.

• An advanced degree or data governance certification, such as CDMP or DGSP, is preferred.

• Preferred experience in building and enabling a federated stewardship model.

• Preferred experience collaborating with a cloud data platform migration.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and training.

• Flexible work arrangements.

• A collaborative and inclusive work environment.