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About the Program

The Intelligent Operations program is a multi-year banking modernization program delivering a complex systems integration solution. AI is embedded in the program Way of Working — currently accelerating functional specification, design, and test case generation across ServiceNow, RPA, and API workstreams, etc... The next phase expands AI into client-facing use cases across Know Your Customer “KYC”, Estates, and Core Efficiency Package “CEP”, making the AI Lead a critical program role for the first time.

Role Purpose

The AI Lead owns Intelli Ops end-to-end AI agenda — from use case identification and prioritization through to governed delivery and client adoption. The role sets the AI strategy in collaboration with the Program Director and client leadership, then drives execution through workstream teams, the offshore factory, and vendor partners. This is not a research or advisory role. The AI Lead is accountable for use cases landing in production, delivering measurable value, and operating within regulatory and risk framework. Sufficient technical depth to assess feasibility, govern build quality, and challenge vendor claims is essential — but the role leads through others, not by building directly.

Key Responsibilities

- Define and own the Intelli Ops AI use case roadmap — identify, assess, and prioritize AI opportunities across “KYC”, Estates, “CEP”,



and operational workstreams in collaboration with client leads and program leadership
- Lead use case discovery with client business stakeholders — structured workshops in English (French and/or Dutch a plus) to surface pain points, quantify effort, and translate business need into AI problem statements
- Own the AI delivery lifecycle: from feasibility and solution design through build governance, testing, and production deployment — applying the Intelli Ops stage-gate model to AI use cases
- Govern AI build quality — review model selection, prompt engineering, data pipeline design, and integration architecture produced by factory teams and vendors; enforce quality gates before progression
- Define and maintain the Intelli Ops AI governance framework applicable to each client — responsible AI principles, bias and fairness controls, explainability requirements, data handling standards, and human-in-the-loop design patterns aligned to client policy and EU AI Act obligations
- Act as the primary AI interface to client— presenting use case business cases, progress, risk, and outcomes to initiative leads and exec sponsors
- Manage relationships with AI vendors and platform providers; assess fit, negotiate scope, and hold delivery accountable against committed outcomes
- Track and report AI program value: use case pipeline health, delivery status, realized benefits, and risk posture to Program Director and Steering

Location and Terms

- Primary location: Spain flexible

- Travel: 25-30% maybe required to program locations for stakeholder workshops, governance, milestone events, and client relationship management

- Collaboration with offshore teams (e.g. India) and vendors across time zones — flexibility required

📌 AI Delivery Lead - Senior Manager (Madrid)
🏢 Accenture
📍 Madrid