Director Internal AI Governance

Enterprise AI Governance

• Define and maintain NIQs enterprise framework for the governance of internally used AI including generative AI machine learning autonomous agents and third-party AI-enabled products.
• Establish clear policies standards decision rights approval thresholds and accountability for AI use across the enterprise.
• Define risk-based governance requirements based on factors such as data sensitivity business criticality autonomy customer or employee impact regulatory exposure and financial risk.
• Ensure governance remains proportionate to risk and enables responsible experimentation without creating unnecessary barriers to adoption.
• Maintain an enterprise inventory of material internal AI solutions use cases models vendors and associated owners and risks.

AI Investment and Use-Case Governance

• Establish governance processes for evaluating proposed AI investments and internal AI opportunities.
• Partner with Finance and business leaders to ensure material AI initiatives have clearly defined business cases measurable outcomes full lifecycle costs and accountable benefit owners.
• Define criteria for progressing scaling pausing or stopping AI initiatives based on business value adoption performance risk and total cost of ownership.
• Help ensure NIQ prioritizes meaningful business opportunities rather than deploying AI solely because the technology is available.
• Establish governance mechanisms to identify overlapping tools duplicative investments and opportunities for enterprise reuse.

Responsible AI and Risk Management

• Develop and operationalize NIQs responsible AI principles and control framework for internal AI.
• Partner with Privacy Legal Security Risk Compliance and HR to address risks including data privacy intellectual property cybersecurity bias explainability human oversight records retention regulatory requirements and inappropriate use.
• Define requirements for human review testing validation monitoring auditability and escalation based on AI risk classification.
• Establish processes for identifying reporting investigating and remediating AI-related incidents.
• Monitor emerging AI regulation standards and industry practices and translate them into appropriate NIQ governance requirements.

Technology and Architecture Governance

• Partner with Technology and Security leaders to establish approved AI technology patterns platforms models and architectural guardrails.
• Define requirements for the use of public private proprietary and open-source AI models.
• Establish governance for AI data access model access identity and permissions integrations agents APIs logging monitoring and production deployment.
• Partner with technology teams to define controls for AI development environments experimentation productionization and ongoing operations.
• Support enterprise decisions regarding build-versus-buy approaches and strategic AI platforms.

Third-Party and Vendor AI Governance

• Partner with Procurement Technology Security Privacy and Legal to establish standards for evaluating AI capabilities embedded within third-party products and services.
• Define due-diligence requirements for AI vendors including data usage model training practices security intellectual property contractual protections service continuity and regulatory risk.
• Help ensure the enterprise understands the full financial and operational impact of AI technology commitments including licensing consumption infrastructure integration support and ongoing operating costs.

Governance Operating Model

• Chair or lead appropriate enterprise AI governance forums and provide clear recommendations to senior leadership.
• Establish transparent escalation paths and decision-making processes for high-risk or high-impact AI initiatives.
• Define governance metrics and reporting that provide leadership with visibility into AI adoption value realization risk exposure policy compliance and portfolio health.
• Create practical guidance playbooks templates and education that enable teams to comply with governance requirements efficiently.
• Continuously improve the governance model based on emerging technologies organizational learning regulatory developments and operational experience.

Leadership and Influence

• Serve as a trusted advisor to senior Technology functional and business leaders on internal AI strategy governance and risk.
• Build alignment across functions with different objectives risk tolerances and levels of AI maturity.
• Develop a culture in which teams understand that responsible governance and rapid innovation are complementary rather than competing objectives.
• Lead and develop a high-performing governance capability as the organizations needs evolve.

Qualifications :

Qualifications

• Significant leadership experience (15 years) in technology governance enterprise technology AI risk cybersecurity data governance digital transformation or a related discipline.
• Demonstrated experience establishing or operating enterprise governance frameworks in a large complex global organization.
• Strong understanding of generative AI machine learning enterprise AI platforms AI-enabled applications and emerging agentic technologies.
• Working knowledge of AI-related risks including privacy cybersecurity intellectual property bias model risk data leakage regulatory exposure and third-party risk.
• Experience partnering with Legal Privacy Security Finance Procurement Technology and senior business leadership.
• Demonstrated ability to translate complex technical and regulatory topics into practical business policies and decisions.
• Strong understanding of enterprise investment governance business cases total cost of ownership and benefit realization.
• Ability to establish structure and clear decision-making in rapidly changing and ambiguous environments.
• Exceptional executive communication influencing and stakeholder-management skills.
• Experience leading globally distributed initiatives and operating across organizational boundaries.

Preferred Qualifications

• Experience establishing an enterprise Responsible AI or AI Governance program.
• Experience governing generative AI platforms copilots large language models or autonomous AI agents.
• Familiarity with emerging AI regulatory frameworks and recognized AI risk-management standards.
• Experience with large-scale enterprise cloud data security and technology environments.
• Experience managing technology or transformation portfolios with measurable financial and operational outcomes.

Measures of Success

Success in this role will be measured by NIQs ability to:

• Scale internal AI adoption while maintaining appropriate levels of enterprise risk.
• Make AI investment and deployment decisions faster through clear standards and decision rights.
• Demonstrate measurable productivity cost revenue or operational benefits from material AI investments.
• Reduce unmanaged duplicative or non-compliant AI usage.
• Maintain clear ownership and visibility of material AI solutions across the enterprise.
• Identify and mitigate AI risks before they result in material business impact.
• Create governance that business and technology teams view as practical predictable and enabling

Additional Information :

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the  Work :

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Employment Type :

Full-time