14 set - Varese
Fiserv
Overview
As a Senior Programme Manager at Fiserv, you will lead complex, multi-stakeholder delivery initiatives in payments with a strong focus on AI-enabled delivery. You will serve as a strategic partner to executive clients, shaping programme direction and governance. You will manage large-scale data migrations in card issuing and drive adoption of automation and AI-powered insights to improve outcomes. This role combines delivery excellence with client relationship leadership in a fast-paced, global environment.
Responsabilità
- Own executive-level client relationships and governance forums, acting as a trusted partner
- Lead multiple concurrent programmes from initiation to closure with accountability for outcomes
- Drive card issuing data migration programmes, including cutovers and risk planning
- Utilize AI-enabled delivery approaches for reporting, risk analysis, and capacity planning
- Build and mentor cross-functional delivery teams and promote automation/AI tooling
- Coordinate delivery across global teams and multiple functions (Product, Tech, Operations, Compliance, Integration)
- Manage risks, changes, and client expectations with robust governance and clear communication
- Own programme P&L;, budgets, and contract negotiations while seeking growth opportunities
Requisiti fondamentali
- 15–20+ years in programme or project management within payments/financial services tech
- Deep payments processing expertise, especially credit card issuing and platform migrations
- Proven leadership of large-scale, multi-stream data migration programmes in card issuing
- Experience managing enterprise clients at C-suite/VP level with a consultative approach
- Track record delivering multiple successful migrations in card issuing and data migration
- Practical experience using AI and automation to streamline delivery and governance
- Strong understanding of card issuing platforms (VisionPLUS / FirstVision) and migration risks
- PMI/PRINCE2 MSP or equivalent certification
- Executive stakeholder management
- Consultative advisory approach
- Strong communications under pressure
- AI-enabled delivery and automation
- Agentic AI and AI-assisted risk identification
- Data migration and cutover planning
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