Role Summary

We are seeking a visionary Enterprise Data Governance Consultant who is a recognized thought leader in enterprise data management. This is a senior strategic role for an individual who has shaped data governance cultures, built governance frameworks from the ground up, and influenced C-suite decisions across complex, regulated, and multi-industry environments. The ideal candidate brings a rare combination of deep technical knowledge, regulatory expertise, and executive-level communication skills.

• Define and evangelize the enterprise data governance vision, strategy, and roadmap aligned with business objectives and regulatory requirements.

• Serve as the internal and external thought leader on data governance, data quality, metadata management, and data privacy — contributing to whitepapers, industry forums, and executive briefings.

• Establish and chair Data Governance Councils and executive decision forums, driving accountability and data ownership across the organization.

• Influence and align business, legal, compliance, security, analytics, and technology stakeholders to build a culture of trusted, secure, and fit-for-purpose data.

• Design and implement enterprise data governance operating models, including governance workflows, data ownership structures, stewardship programs, and escalation paths.

• Develop and enforce data classification, metadata standards, business glossaries, and data catalog frameworks across enterprise data assets.

• Build and manage risk registers, control evidence, KPI reporting, and issue remediation processes to ensure ongoing governance health.

• Lead data lifecycle, retention, and records management policies across data warehouses, data lakes, and cloud environments.

• Lead enterprise data privacy programs ensuring compliance with GDPR, CCPA/CPRA, HIPAA, GLBA, SOX, PCI-DSS, and other applicable regulations.

• Conduct and govern Data Protection Impact Assessments (DPIAs), Privacy Impact Assessments (PIAs), and Transfer Impact Assessments (TIAs).

• Implement Privacy by Design principles across data platforms, applications, and analytics initiatives.

• Partner with legal and compliance teams to manage third-party data processing, cross-border data transfers, and regulatory audit readiness.

• Define and operationalize data quality rules, KPIs, and issue management frameworks to improve data reliability and fitness for use.

• Oversee data lineage, data discovery, and data classification initiatives using tools such as OneTrust, Collibra, Alation, or equivalent platforms.

• Drive Master Data Management (MDM) and Reference Data governance across enterprise systems.

• Establish AI Governance and Responsible AI frameworks to ensure ethical, transparent, and compliant use of AI/ML and GenAI technologies.

• Govern data assets across AWS, Azure, and Google Cloud environments, ensuring cloud-native governance controls are embedded.

• Lead governance for data integration, migration, and transformation programs across complex multi-system landscapes.

• Create and present executive dashboards and governance reporting covering data risks, issue aging, remediation status, control readiness, and program health.

• Lead, mentor, and coach cross-functional, multi-geography teams (50–200+ members) spanning business, technology, vendor, and compliance workstreams.

• Drive post-merger or large-scale data and analytics integration governance across enterprise application portfolios.

• 15+ years of progressive experience in enterprise data governance, data management, and data privacy across multiple industries (Retail, Telecom, Healthcare, Manufacturing, or regulated sectors preferred).

• Proven track record of building governance programs from scratch and scaling them across global organizations.

• Experience leading large global teams (50–100+ members) in matrixed, cross-functional environments.

• Demonstrated success in post-merger data integration governance across 50+ enterprise systems.

• Deep knowledge of Data Governance frameworks (DAMA-DMBOK, DCAM, or equivalent).

• Proficiency with data governance and privacy platforms: OneTrust, Collibra, Alation, ServiceNow, or equivalent.

• Hands-on experience with Data Warehouses, Data Lakes, and Cloud Platforms (AWS, Azure, Google Cloud).

• Working knowledge of SQL and data architecture concepts.

• Familiarity with ERP, CRM, PLM, and enterprise application ecosystems.

• Expert-level understanding of GDPR, CCPA/CPRA, HIPAA, GLBA, SOX, PCI-DSS, and emerging global privacy regulations.

• Experience conducting 150+ privacy assessments, DPIAs, PIAs, and TIAs.

• Strong background in GRC (Governance, Risk & Compliance) frameworks and audit readiness.

• Exceptional ability to influence without authority across C-suite, legal, compliance, engineering, and business stakeholders.

• Strong executive communication skills — capable of translating complex governance concepts into business value.

• Experience building and presenting governance scorecards, risk dashboards, and executive decision forums.

• You have shaped industry practices, not just followed them — contributing to governance frameworks adopted across organizations.

• You have reduced measurable risk: e.g., ~25% lower privacy risk, ~30% lower non-compliance exposure through disciplined governance.

• You have governed transformation at scale: mergers, cloud migrations, platform modernizations involving 70+ systems.

• You are a trusted advisor to C-suite leaders, legal teams, and regulators — not just a practitioner.

• You actively contribute to the data governance community through advisory roles, mentorship, or pro-bono technology leadership.

• Insurance

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world

• Be a leader of an energetic team of highly dynamic and talented individuals

• Exposure to working with fortune 500 companies and innovative market disruptors

• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud