Senior Data & AI Product Manager at FIS Global
London EC4N, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

09 Sep, 25

Salary

0.0

Posted On

09 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description
Responsibilities

WHAT YOU WILL BE DOING

You will play a pivotal role in the success of the new enterprise Data and AI platform developed by the EDAI team. This platform, built with industry-leading technology and the highest security standards, will become the enterprise’s new benchmark – allowing FIS to anonymize and commercialize data to drive value. As a member of the Customer Success Tower within the Enterprise Data & AI (EDAI) Team, you will work closely with a group of customers within FIS to help define and deliver Data & AI use cases for that line of business.

KEY RESPONSIBILITIES INCLUDE:

  • Product Strategy & Roadmap – Define and communicate the product vision and strategy for Data & AI use cases for your customers, aligning with business goals and customer needs.
  • Customer Engagement – Engage with business stakeholders to gather feedback, understand their needs, and ensure the Data & AI products deliver value. Act as the voice of the customer within the EDAI team.
  • Use Case Definition – Identify and define Data & AI use cases that address business challenges and opportunities, working closely with data scientists and engineers to develop solutions.
  • Opportunity Optimization - map AI opportunities to the appropriate product to maximize our market position and revenue generation
  • Cross-Functional Collaboration – Work closely with engineering, data science, and business teams to prioritize features, manage the product backlog, and ensure timely delivery of high-quality solutions.
  • Industry Trends – Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorporate relevant insights into product strategy and development.
  • Performance Monitoring & Optimization – Monitor product performance, analyze key metrics, and drive continuous improvement initiatives to enhance the platform’s capabilities and user experience.
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