10 AI governance program experts

Backgrounds behind these AI governance program leads vary widely: legal at Amdocs, data science at Generali and 84.51˚, machine learning engineering at LinkedIn, data compliance and security at Cisco, and AI ethics roles at Lloyds Banking Group and Takeda. Five are based in the United States and three in London, and they suit a company deciding who should own AI governance and how formal review of AI use cases should work.

10 professionals9 companiesData retrieved September 28, 2026

Professionals to explore

  1. Alessandro Bonaita

    LinkedIn

    Experience: Former Group AI Governance Program Director · Generali

    At Generali, Alessandro Bonaita has been Group Head of AI & Data Governance since 2025, following Group AI Governance Program Director (2022–2025), and was Group Head of Data Science (2017–2022). Alessandro describes +15 years in AI, from hands-on data science consulting to the design and roll out of AI and data global strategies, and sits on institutional working groups and advisory boards on Responsible AI.

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  2. Andrea Kartos

    LinkedIn

    Experience: Global AI Governance & Responsible AI Lead · Sanofi

    Andrea Kartos has been Global AI Governance & Responsible AI Lead at Sanofi since 2026, following Global Responsible AI & Data Lead (2025–2026). Andrea was Director, Data Strategy & Portfolio Mgmt. (Personal & Commercial Banking) at RBC (2022–2025) and describes shaping Responsible AI strategy and governance in highly regulated global environments, across AI strategy, governance, risk, data privacy and technology.

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  3. Dr Paul Dongha

    LinkedIn

    Experience: Head of Responsible AI & AI Strategy · NatWest Group

    AI governance at a bank is the angle for Dr Paul Dongha, Head of Responsible AI & AI Strategy at NatWest Group since 2024, after Group Head of Data and AI Ethics at Lloyds Banking Group (2022–2024). Paul chairs an AI Ethics Board, is co-author of ‘Governing the Machine’ and was AI Ethics - Research Lead at Fujitsu Research (2021–2022).

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  4. Dustin Holloway

    LinkedIn

    Experience: Vice President and Global Head of Responsible Innovation · Sanofi

    Responsible AI frameworks, risk scanning, red teaming and AI Governance programs are what Dustin Holloway describes implementing. Dustin has been Vice President and Global Head of Responsible Innovation at Sanofi since 2025, after Director, Global Lead for Artificial Intelligence and Technology Ethics at Takeda (2023–2025), was Lead for Artificial Intelligence and Technology Ethics at Takeda (2020–2023), and holds the AIGP.

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  5. Hellen Beveridge

    LinkedIn

    Experience: Head of AI Governance & Ethics · AXA UK

    Making a governance framework practical is the fit for Hellen Beveridge, Head of AI Governance & Ethics at AXA UK since 2025 following AI Governance Lead there (2024–2025), who is leading the development and implementation of an AI governance framework at AXA. At Cognizant, Hellen was Global Responsible AI Governance Delivery Lead (2024) and Snr Manager - Data Responsibility Privacy Delivery (2021–2024).

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  6. Liz Yauch

    LinkedIn

    Experience: Director, AI Governance · 84.51˚

    Liz Yauch has been Director, AI Governance at 84.51˚ since 2024, overseeing and driving AI governance programs and strategic initiatives across 84.51° and Kroger, after Director, Data Science (2020–2024). Liz also held Lead Data Scientist - Store Assortment & Space at 84.51˚ (2017–2019), a fit for questions on governing AI that grows out of a data science team.

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  7. Mark He

    LinkedIn

    Experience: Director, AI Governance & Safety · NVIDIA

    Mark He has been Director, AI Governance & Safety at NVIDIA since 2022, after Associate Director, AI Governance & Safety (2020–2022). Mark held Senior Manager, Data Compliance & Security (2015–2020) and Manager, Security & Risk Management (2011–2015) at Cisco, and works with engineering, legal and product teams to "turn complicated requirements into processes and tools that actually work."

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  8. Martin Koder

    LinkedIn

    Experience: Former AI Governance Lead · Swift

    At Swift, Martin Koder was AI Governance Lead (2022–2025) and then Head of Responsible AI (2025–2026), and at London Stock Exchange, Senior Manager, Regulatory Strategy, Capital Markets (2012–2020). With an MSc in Artificial Intelligence, Martin describes bringing together public policy, advanced data science and global financial services expertise, a fit for AI governance questions with a regulatory strategy angle.

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  9. Sakshi Jain

    LinkedIn

    Experience: Engineering Director, Head of AI Safety, Privacy and Governance · LinkedIn

    Engineering Director, Head of AI Safety, Privacy and Governance at LinkedIn since 2024, Sakshi Jain is leading the engineering efforts to ensure LinkedIn's AI systems are designed and developed with safety, privacy, reliability and fairness at the forefront. Other LinkedIn titles were Senior Manager, Responsible AI (Fairness and Explainability) (2022–2025), Manager, Responsible AI (2021–2022) and Manager, Machine Learning for Anti-Abuse AI (2019–2021).

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  10. Zvi Joseph

    LinkedIn

    Experience: Head of AI Governance, Risk and Compliance · Amdocs

    Deputy General Counsel at Amdocs from 2005 to 2026, Zvi Joseph became Head of AI Governance, Risk and Compliance there in 2026 and is leading the company's AI governance program and strategy, building the guardrails and practices that serve as the foundation for responsible AI. Zvi is also a Director at BrenX (since 2024) and Fabric.AI (since 2020), a fit for questions on AI governance shaped by a legal background.

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Choose the right perspective

For a governance function built out of legal or compliance, Zvi Joseph and Mark He are the closest models; for one grown out of data science, Alessandro Bonaita and Liz Yauch. Sakshi Jain covers governance inside engineering, Dr Paul Dongha, Hellen Beveridge and Martin Koder cover settings at NatWest Group, AXA UK and Swift, and Andrea Kartos and Dustin Holloway cover responsible AI work at Sanofi.

Questions to take into the conversation

  1. 01How did you decide which AI use cases needed formal review, and what did the intake and approval process look like?
  2. 02Who owned AI governance decisions across legal, risk, data and product teams, and how did you resolve disagreements?
  3. 03How did you prepare for new AI regulations such as the EU AI Act without slowing down delivery?

About this directory

This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.

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