Data Governance Lead

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

📋 Description

• Develop and manage the enterprise data catalog, ensuring the inclusion of metadata standards along with comprehensive ownership, SLA, classification, lineage, and contractual documentation.

• Integrate automated lineage capture across ingestion pipelines, medallion transformations, and the publication of data products.

• Create and uphold pipeline-level data quality rules, along with alerting and remediation workflows.

• Configure governance controls in Snowflake, including RBAC, row- and column-level security, classification tags, masking policies, and access enforcement measures.

• Establish access request and approval workflows for domain connections.

• Implement governance for event contracts, schema standards, registries, retention policies, and access protocols.

• Develop governance dashboards and associated metrics.

• Formulate and implement the enterprise data governance strategy, along with standards, roadmap, operational model, and policy lifecycle.

• Oversee agendas related to data ownership, stewardship, quality, metadata, lineage, cataloging, classification, retention, and policy adoption.

• Define and execute federated product review gates and governance standards.

• Design policy-aware AI and Agent Operations controls, which include data guardrails, sensitive-data handling, traceability, auditability, and secure write-back patterns.

• Align governance policies with leaders in Security, Risk, Legal, and Architecture.

• Drive governance KPIs and performance measures.

• Collaborate directly with platform engineers during delivery sprints to assess designs and implement controls.

• Assist domain teams in the federated contribution model and review submitted products.

• Define governance requirements for business definitions, reference data, master data, and entity resolution.

• Create workflows that minimize friction while upholding platform quality and control standards.

• Build and lead a small governance team, including hiring and developing governance engineers and stewards.

• Influence business and technology stakeholders to foster data accountability and disciplined data practices.

⛳️ Requirements

• Bachelor's degree or equivalent experience required.

• 8 or more years of experience in data governance, data platform engineering, data architecture, analytics engineering, or related roles.

• A minimum of 3 years in a leadership or lead role responsible for governance programs, stewardship models, or cross-functional data operating frameworks.

• Proven experience in building and managing governance capabilities within a modern cloud data platform environment.

• Practical Snowflake governance experience, including RBAC, row/column-level security, classification tags, masking policies, and access governance.

• Hands-on experience with implementing data catalogs and lineage tools.

• Experience in writing and managing data quality rules within data pipelines.

• Familiarity with governing event contracts and schemas in streaming or messaging environments, such as Kafka or MuleSoft.

• Experience in defining and executing standards for data product governance.

• Background in designing and implementing governance controls for AI or agent-based use cases.

• Experience working closely with an engineering team and participating in delivery sprints.

• Strong understanding of data governance principles.

• Experience in regulated, security-sensitive, or compliance-driven environments is highly preferred.

• Excellent communication skills.

• Strong systems thinking capabilities.

• Practical knowledge of governance for AI, automation, and agent-based execution.

• Ability to perform essential job functions safely and successfully in accordance with ADA, FMLA, and applicable standards.

• Must maintain regular, punctual attendance.

• Primarily involves office and computer-based work with standard expectations for technical leadership and collaboration.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Professional development opportunities and continuous learning support.

• Generous paid time off and holiday policies.

• Retirement savings plan with company matching.