Senior Data Governance SME

๐Ÿข Quantiphi ยท all Quantiphi jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-08-18 ยท via Himalayas
๐Ÿท Data-Governance,Enterprise-Data-Management,Data-Privacy,Data-Compliance,Data-Governance-Consultant,Senior-Data-Governance-Manager,Data-Governance-Specialist,Data-Governance-Lead,Data-Governance-Manager,Data-Governance-Professional,Senior-Data-Steward,Data-Governance-Analyst
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While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi !
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

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

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

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

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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

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

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

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

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

Privacy, Compliance & Regulatory Governance

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

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

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

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

Data Quality & Metadata Management

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

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

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

AI & Cloud Governance

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

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

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

Executive Engagement & Team Leadership

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

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Lead, mentor, and coach cross-functional, multi-geography teams (50โ€“200+ members

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