Lead discovery and assessment of existing Data Governance operating models, identifying gaps and improvement opportunities.
Act as a trusted advisor to business, technology, compliance, and data leadership stakeholders.
Facilitate governance workshops, working sessions, and steering committee meetings.
Develop and present Data Governance business cases, including value realization, risk reduction, and regulatory alignment.
Support presales activities, including solution design, proposals, and client demos.
Lead end-to-end implementation of Data Governance, Metadata, Lineage, and Data Quality capabilities.
Design and operationalize Operating Data Models for Governance, Quality, and MDM.
Oversee configuration and rollout of governance platforms such as Collibra, Informatica EDC/Axon, Alation, Attacama, and Erwin.
Define governance standards, policies, stewardship workflows, and operating procedures.
Guide testing, validation, and production readiness of governance solutions.
Embed governance controls to support AI and analytics pipelines, including traceability, explainability, and auditability.
Enable AI-assisted metadata enrichment, classification, and intelligent lineage discovery.
Collaborate with AI, Data Science, and Engineering teams to integrate governance into Agentic AI workflows (e.g., policy-as-code, automated stewardship, governance agents).
Requirements
Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, or a related field.
8–12 plus years of experience in Data Governance, Data Management, or Data Quality roles.
Proven experience leading client-facing governance programs.
Consulting or professional services background preferred.
Willingness to travel for client engagements.
Strong experience in Data Governance operating model design and implementation.
Hands-on experience with governance tools such as Collibra, Informatica EDC/Axon, Alation, Erwin, Attacama.
Expertise in metadata management, business glossary, lineage, stewardship, and data quality.
Experience with data exploration and analysis using SQL/MySQL.
Strong stakeholder management, facilitation, and communication skills.
Experience leading small to mid-sized teams in complex client environments.
Experience supporting AI and Agentic AI governance use cases preferred.
Exposure to regulated industries (Insurance, Healthcare, Banking, Privacy, AI regulations).