AI Product Senior Manager

Visa Europe is scaling AI as a core driver of profitable growth, scalable delivery, and higher-quality client impact. This role owns both sides of that transformation: identifying and delivering high-value AI use cases end to end, and driving the adoption, capability building, and behavior change needed to make AI-enabled ways of working stick across Visa Europe's business clusters. You'll be the bridge between opportunity, execution, and organizational adoption - accountable not just for shipping AI solutions, but for ensuring they're genuinely used, valued, and embedded into how teams work. 

Reporting to the Head of AI Transformation within the Visa Europe CEO Office, this role is instrumental in executing the Visa Europe AI strategy, connecting top-down strategic direction with bottom-up execution and adoption. 

Responsibilities:

AI Opportunity Identification & Business Case Development 

• Identify and size AI opportunities across Visa Europe clusters and functions through structured business engagement, value pool mapping, and stakeholder workshops. 

• Build robust business cases and secure funding and sponsor approval through the appropriate route (CTO office, business sponsor, or CFO office), tailoring the pitch to each governance body. 

• Connect each AI opportunity to Visa Europe's broader strategic objectives: profitable growth, scalable delivery, higher-quality client impact, workflow standardization, and decoupling revenue growth from FTE growth. 

End-to-End Delivery & Build vs Buy 

• Own delivery of AI use cases end to end — from requirements through to production deployment — with full accountability for the outcome. 
• Lead the Build vs Buy assessment for each use case, evaluating technical feasibility, vendor capability, total cost of ownership, and time-to-value, then manage the chosen delivery path to completion. 
• Work with data science and ML engineers, managing them to defined milestones and value targets. 
• Monitor deployed solutions and manage model performance, iteration, and stakeholder reporting. 

Change Strategy, Narrative & Leadership Enablement 

• Develop and lead the change strategy for each AI use case, translating the opportunity and its impact into a compelling, simple, and actionable story for different audiences — from frontline teams to senior leadership. 
• Partner with leadership to consistently reinforce the transformation message through Visa Europe forums. 
• Help managers embed AI adoption into team routines, project reviews, onboarding, coaching, and performance discussions. 

Adoption, Reinforcement & Behavior Change 

• Own the adoption strategy for each AI solution, moving beyond deployment into sustained behavior change — using champions networks, office hours, nudges, peer coaching, demos, and recognition. 
• Establish feedback loops across clusters to identify adoption barriers, usability issues, and opportunities to refine solutions and enablement materials. 
• Contribute to and help scale the AI Champions network — sharing tools, AI agents, and learnings across Visa Europe business clusters to accelerate peer-led adoption. 

Value Measurement & Governance 

• Measure and communicate value delivered — usage, proficiency, productivity, quality, and business impact — to senior leadership and the AI Steering Committee. 
• Build governance routines to review adoption progress, unblock friction points, and adjust rollout plans based on data and feedback. 
• Create executive-ready dashboards and recommendations showing progress against delivery, adoption, and business impact goals. 

Emerging Capabilities & Continuous Improvement 

• Stay current on emerging AI capabilities and identify new use cases relevant to Visa Europe's strategic priorities. 
• Ensure the change management approach for AI evolves as capabilities, workflows, and roles mature. 

Basic Qualifications:

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• 8+ years in product/project management, AI delivery, or data science role, with hands-on experience building and deploying AI or ML solutions in a business context.
• Proven track record of owning AI or data science use cases from identification through to live production - not advisory or strategy only.
• Experience working with ML models, including model development, evaluation, deployment, and performance monitoring.
• Strong stakeholder management - comfortable working with C-suite sponsors and cross-functional business teams simultaneously.
• Experience managing external vendors and specialist technical teams to deliver defined outcomes.
• Strong commercial acumen - ability to size an opportunity, quantify value, and present to senior leadership.
• Experience designing or leading change strategies that include training, stakeholder engagement, leadership enablement, adoption tracking, and behavior reinforcement - ideally tied to AI, digital, or workforce transformation programs.Degree in Computer Science, Data Science, Engineering, Mathematics, Business or a related field.
• Experience in financial services, payments, or a regulated industry environment.
• Consulting background with a strong delivery track record (strategy firm or Big Four).
• Experience building or deploying LLM-based solutions, AI agents, or agentic workflows.
• Familiarity with MLOps practices - model versioning, monitoring, and retraining.
• Experience working in fast-moving environments.
• Exposure to enterprise AI platform evaluation and procurement.
• Experience working across multi-disciplinary teams spanning business, technology, and data functions.
• Proven track record leading large-scale transformation programs across complex, global, matrixed organizations.
• Strong understanding of role evolution, capability building, and performance management as they relate to AI adoption.
• TOOLS & PLATFORMS 
• Candidates should have hands-on working experience with a selection of the following:
• Claude Code, Microsoft Copilot, Copilot Studio, and Power Automate for workflow automation and agentic capabilities.
• Figma Make and CloudFlare for prototyping and deployment infrastructure.
• Databricks and cloud databases for data engineering and model development environments.
• Python and SQL for data science, modeling, and analysis (Preferred)