Senior Product Manager, Analytics & AI Platform

Mastercard; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Mastercard seeks a Product Manager to drive strategy, development, and growth of data, analytics, and intelligence solutions that help customers make smarter business decisions. You will identify customer needs, define vision and roadmaps, and partner across Product, Technology, Design, Commercial, and Customer Success teams to deliver innovative, scalable solutions.

Lead end-to-end lifecycle from concept to launch and optimization, collaborating with Engineering and Data Science to translate

Qualifications

• Advanced product management experience with defining product strategies and roadmaps for customer-centric solutions.
• Strong ability to translate market insights into product investments and business cases.
• Proven track record leading cross-functional teams and driving growth of data/analytics products.

Responsibilities

• Define and execute product strategy, roadmap, and priorities for analytics platforms and data solutions.
• Partner with customers, commercial teams, and internal stakeholders to identify opportunities and validate needs.
• Lead end-to-end product lifecycle from concept through delivery, launch, adoption and optimization.
• Collaborate with Engineering, Data Science, UX, and commercial teams to bring products to market.
• Drive alignment across product, commercial, operations, and technology for successful execution.

Skills

Product management

Roadmapping

Stakeholder management

Data analytics

AI/ML familiarity

Job description

Mastercard seeks a Product Manager to drive strategy, development, and growth of data, analytics, and intelligence solutions that help customers make smarter business decisions. You will identify customer needs, define vision and roadmaps, and partner across Product, Technology, Design, Commercial, and Customer Success teams to deliver innovative, scalable solutions.

Lead end-to-end lifecycle from concept to launch and optimization, collaborating with Engineering and Data Science to translate