Skip to content
← Back to job listings

Senior Data Governance SME

Quantiphi, Inc. · Remote, United States

Data Science / AI / Machine LearningSenior LevelRemoteExternal listingfull-time3 days ago

About The Role

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

  • 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 !

This is an external listing. JobSpring does not represent or verify the employer. Report this listing