EU remote
AI Portfolio & Governance Lead
About this role
BE WARY OF SCAMS, WORKHUMAN WILL NEVER ASK FOR PAYMENTS OR SEEK PERSONAL INFORMATION BEYOND THAT WHICH IS NECESSARY TO PROCESS YOUR APPLICATION FOR EMPLOYMENT. IF IN DOUBT, DO NOT SHARE YOUR PERSONAL OR FINANCIAL INFORMATION AND FEEL FREE TO REACH OUT TO WORKHUMAN DIRECTLY AT [email protected]. As AI becomes embedded across Workhuman, this role will help turn experimentation into governed, measurable enterprise value.
You will lead the enterprise AI portfolio and governance flow, partnering across business and technology teams to prioritise the right opportunities, apply proportionate controls and make outcomes, risks and dependencies visible. **This is a hybrid role requiring at least 3 days per week onsite in our Dublin office. What we can offer you: - Shape Workhuman’s enterprise AI portfolio, from use-case intake and prioritisation through governance review, delivery visibility and value realisation.
- Design and operate a pragmatic, risk-based AI governance model that embeds human accountability and proportionate privacy, security, data, legal and responsible AI controls into delivery. - Partner with AI Business Partners, Data Stewards, Process Owners and colleagues across Technology, Enterprise Architecture, Security, Privacy and Legal so ownership is clear and decisions move efficiently. - Establish transparent portfolio reporting and outcome measures, giving senior leaders a clear view of AI investment, adoption, realised value, risk and cross-domain dependencies.
- Create reusable governance standards, decision criteria, templates and review pathways that allow teams to innovate safely without unnecessary friction. - Help mature Workhuman’s federated AI operating model, balancing central standards and enablement with domain accountability for business outcomes and ongoing AI operations. What You Bring - Experience in AI governance, technology governance, portfolio management, risk, product/programme management or a related field, with the ability to translate governance into practical delivery.
- A strong understanding of AI lifecycle risks and controls across areas such as privacy, security, data, model behaviour, human oversight, third parties and responsible AI. - A collaborative mindset and the ability to build trusted relationships with senior business and technology stakeholders, facilitate trade-offs and influence without relying on hierarchy. - Strong analytical and communication skills, including the ability to turn complex portfolios, risks and dependencies into clear executive-level reporting and actions.