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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.
Key Responsibilities
Strategic Leadership & Thought Leadership
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.
Governance Framework & Operating Model
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.
Privacy, Compliance & Regulatory Governance
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.
Data Quality & Metadata Management
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.
AI & Cloud Governance
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.
Executive Engagement & Team Leadership
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.
Required Skills & Qualifications
Experience
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.
Technical Expertise
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.
Regulatory & Compliance Knowledge
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.
Leadership & Communication
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.
What Makes You Stand Out
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.
Industries of Relevance
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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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