Compunnel, Inc.
We are seeking an experienced AI for Data Governance Product Lead to execute the strategy and roadmap for enterprise data governance and AI-driven automation products.
This role combines product management expertise with technical skills in AI agent development, enabling governance adoption and automation across platforms such as Collibra, Databricks Unity Catalog, and Snowflake.
Key Responsibilities
Product Strategy & Roadmap: Define vision and roadmap for AI-powered data governance solutions; align initiatives with enterprise data strategy and compliance requirements. AI Agent Development: Design and oversee development of AI agents for governance automation (metadata ingestion, lineage tracking, risk scoring); implement agent orchestration using Collibra AI Governance and MCP Server. Platform Integration: Drive integration between Collibra DIP, Databricks Unity Catalog, and Snowflake; ensure interoperability through APIs and automation frameworks. Stakeholder Engagement: Collaborate with engineering, data governance teams, and business units to prioritize features; conduct workshops and demos to drive adoption of AI-driven governance tools. Compliance & Risk: Implement guardrails and audit trails for AI agent actions; ensure adherence to compliance and audit readiness. Performance Metrics
Delivery of AI agent-driven governance features on roadmap. Increased automation and reduced manual governance tasks. Adoption rate of governance workflows across enterprise platforms. Compliance adherence and audit readiness. Required Qualifications
5+ years of experience in Product Management, including defining product vision, writing PRDs, and managing backlogs. Strong understanding of agile methodologies and stakeholder management. Hands-on experience with Collibra DIP, Databricks Unity Catalog, and Snowflake. Technical skills in AI agent development (Python, APIs, orchestration frameworks). Familiarity with MLOps and AI governance standards. Ability to leverage AI for workflow automation and governance adoption. Excellent communication, leadership, and cross-functional collaboration skills. Preferred Certifications
Collibra Certified (Data Steward, Workflow Developer, AI Governance Specialist) or equivalent Data Governance tool certifications.
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Product Strategy & Roadmap: Define vision and roadmap for AI-powered data governance solutions; align initiatives with enterprise data strategy and compliance requirements. AI Agent Development: Design and oversee development of AI agents for governance automation (metadata ingestion, lineage tracking, risk scoring); implement agent orchestration using Collibra AI Governance and MCP Server. Platform Integration: Drive integration between Collibra DIP, Databricks Unity Catalog, and Snowflake; ensure interoperability through APIs and automation frameworks. Stakeholder Engagement: Collaborate with engineering, data governance teams, and business units to prioritize features; conduct workshops and demos to drive adoption of AI-driven governance tools. Compliance & Risk: Implement guardrails and audit trails for AI agent actions; ensure adherence to compliance and audit readiness. Performance Metrics
Delivery of AI agent-driven governance features on roadmap. Increased automation and reduced manual governance tasks. Adoption rate of governance workflows across enterprise platforms. Compliance adherence and audit readiness. Required Qualifications
5+ years of experience in Product Management, including defining product vision, writing PRDs, and managing backlogs. Strong understanding of agile methodologies and stakeholder management. Hands-on experience with Collibra DIP, Databricks Unity Catalog, and Snowflake. Technical skills in AI agent development (Python, APIs, orchestration frameworks). Familiarity with MLOps and AI governance standards. Ability to leverage AI for workflow automation and governance adoption. Excellent communication, leadership, and cross-functional collaboration skills. Preferred Certifications
Collibra Certified (Data Steward, Workflow Developer, AI Governance Specialist) or equivalent Data Governance tool certifications.
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