Responsible & Secure AI, 2026

Responsible AI,
built by an operator.

20 years governing data, models and people decisions inside Dell, TE Connectivity, Indeed and Workday. Bias, profiling, PII and fairness reviewed before models reach the business - not after. GDPR-ready in regulated enterprises with hundreds of thousands of employees and works councils across the EU.

Operating principles01 / 03

Govern from day one.

Bias, profiling, PII and fairness are not bolt-ons. The most defensible analytics work has the strictest discipline at the front, not the back.

Review before deployment.

Every predictive workforce model at Dell, Flight Risk, Leadership Impact, Span of Control, Headcount, cleared a bias / profiling / PII review board before reaching the business.

Translate, don't gatekeep.

Responsible AI fails when it sits between technical teams and executives as a brake. The job is to make the technical legible to leadership, and the regulatory legible to engineers.

Build for audit, ship for value.

Lineage, stewardship, breach process and right-to-erasure are operating muscles. They make AI faster to ship safely, not slower.

The receipts02 / 03

Bias, profiling and PII review boards (Dell, 2014–2019)

Stood up review boards covering bias, profiling and PII for every predictive people-analytics model. No model reached a business stakeholder without sign-off. Pattern replicated for unstructured-data work blending resumes, surveys and SharePoint into the lake.

GDPR readiness ahead of May 2018 (Dell)

Stood up Collibra for lineage, business glossary, stewardship and breach process across Workday, VMS, Tableau, the Data Lake and the HR Analytics Portal. Specified Information Lifecycle Management for production / archive / purge, a prerequisite for right-to-erasure across all HR systems. 4% WW revenue was the exposure; the programme closed it.

EU works councils & data protection officers (Dell, TE Connectivity)

Partnered directly with European DPOs and works councils across the EMC integration (50,000 FTEs onto Workday) and the TE global HR operating model (80,000 employees, 150+ countries). Negotiated data flows, retention and use-case scope before deployment.

AI Centre of Excellence

Established Workday's AI Centre of Excellence inside a 2,500-engineer Product Engineering & QA org building AI-enabled HCM and Finance. Set the operating model, intake, and governance standards for how AI features ship to a regulated customer base.

Executive AI curriculum (IMI Faculty, Future Academy)

Faculty member at the Irish Management Institute designing AI curriculum for executive audiences. Founder of Future Academy, 180+ teen students plus SMB and enterprise programmes, with partnerships across Microsoft, Enterprise Ireland and Turnua.

What I'm built for03 / 03

Roles

  • Chief / Head of Responsible AI
  • Chief / Head of AI Governance
  • Chief Responsible & Secure AI Officer
  • AI Risk & Assurance executive
  • Fractional / advisory engagements

Contexts

  • Greenfield Responsible AI builds
  • Regulated enterprises (financial services, healthcare, HR)
  • EU / multi-jurisdictional data governance
  • M&A integration of AI / data estates
  • Enterprise AI / agentic operating models