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About the role
Key responsibilities & impact- Set up and lead the newly established Ops AI Enablement team, including Senior AI Process Specialists and selected technical profiles.
- Define ways of working, roles, and collaboration model across Operations, CoE, Data, and technical enablement.
- Act as a people leader for the Ops AI Enablement team, fostering effective collaboration, clarity of ownership, and continuous learning.
- Play a key role in setting up the Ops AI Enablement team, including defining ways of working, interfaces to CoE, and collaboration with Operations leadership.
- Define and maintain the AI roadmap for Operations, aligned with Ops strategy, priorities, and maturity.
- Own the Ops AI innovation funnel and backlog, including intake, prioritisation, and sequencing of AI initiatives.
- Translate operational challenges into clearly scoped AI use cases with defined value hypotheses.
- Own the benefits tracking framework for Ops AI initiatives: define metrics, measurement methodology, and reporting cadence.
- Report AI value outcomes in regular business reviews, ensuring accountability for results across the Operations leadership team.
- Proactively flag initiatives that are underperforming and drive corrective action.
- Act as a critical link between complex technical AI possibilities and senior business leadership, providing clarity and actionable insights.
- Act as a key driver of AI adoption in Operations, ensuring AI solutions are embedded into day‑to‑day workflows.
Requirements
What you’ll need- 7+ years’ experience in AI service/product ownership, digital transformation, or AI/data enablement roles, or 5+ years with demonstrable AI product delivery at scale.
- Demonstrated ability to establish new teams, capabilities, or functions from scratch.
- Hands-on experience delivering AI-enabled features, tools, or workflows (e.g. automation, decision support, agent-based solutions, document intelligence).
- Experience working in Operations, Financial Services, or other complex regulated environments, familiarity with compliance and risk frameworks is a strong advantage.
- Well-developed ability to translate complex technical topics including AI/ML capabilities and limitations into clear business value.
- Solid understanding of AI model lifecycle, data dependencies, human-in-the-loop design, and responsible AI principles.
- Experience defining roadmaps, success metrics, and benefit tracking frameworks that hold up in business reviews.
- Effective stakeholder management across business, technology, compliance, and governance functions.
Benefits
Comp & perks- Attractive salary, bonus scheme, and pension are essential for any work agreement.
- Flexible working hours and a hybrid model.
- Opportunities for professional development: there is never just only one route - we provide custom paths for professional development to support the direction you want to take.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI service ownershipAI product deliveryAI-enabled featuresautomationdecision supportagent-based solutionsdocument intelligenceAI model lifecyclebenefit tracking frameworksmetrics definition
Soft Skills
people leadershipcollaborationcontinuous learningstakeholder managementtranslating technical topicsclarity of ownershipaccountabilityproactive problem-solvingcommunicationdriving AI adoption