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Director, Product Management

Job in New York, New York County, New York, 10261, USA
Listing for: MasterCard
Full Time position
Listed on 2026-09-21
Job specializations:
  • Management
    Project & Program Management, Operations Management
Salary/Wage Range or Industry Benchmark: 190000 - 318000 USD Yearly USD 190000.00 318000.00 YEAR
Job Description & How to Apply Below

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title

and Summary Director, Product Management Overview

We are seeking a strategic, execution-oriented Director of Product Management to lead a team responsible for high-priority Open Finance payment solutions: a new-to-market capability designed to enable more seamless and intelligent digital payment experiences, and an AI/ML-powered payment risk suite designed to predict and prevent ACH returns and fraud. This is a uniquely compelling product leadership opportunity, combining the energy and ownership of building a new product from 0–1 with the reach, complexity, and impact of leading highly scaled solutions.

This leader will shape portfolio strategy, translate customer and market needs into differentiated products, and guide solutions across the full product lifecycle- from early-stage innovation and launch through commercialization, optimization, and scale.

Role
  • Portfolio Strategy:
    Define and execute the vision, strategy, roadmap, and investment priorities across the portfolio, balancing near-term delivery with long-term innovation and growth.
  • Team Leadership:
    Lead, coach, and develop a team of product managers, establishing clear ownership, priorities, and operating rhythms while fostering accountability, collaboration, and professional growth.
  • Product Development:
    Guide products from 0–1 concept development through iterative delivery, launch, and scale, ensuring clear requirements, disciplined prioritization, and strong partnership with engineering, data science, design, operations, and go-to-market teams.
  • AI/ML Product Leadership:
    Partner closely with Data Science and Engineering to develop, optimize, and scale predictive payment risk models, fraud management capabilities, and decisioning experiences that deliver measurable customer outcomes.
  • Customer and Market Insight:
    Engage directly with financial institutions, fintechs, merchants, and partners to validate value propositions, understand unmet needs, monitor competitive and technology trends, and translate insights into the roadmap.
  • Commercialization:
    Develop product positioning, pricing, business cases, and go-to-market plans that support adoption, revenue growth, profitability, and customer satisfaction.
  • Executive and Cross-Functional Leadership:
    Communicate a compelling product vision to executive leadership and align stakeholders across engineering, data science, sales, marketing, legal, privacy, operations, and support to drive decisions and execution.
  • Measurement and Optimization:
    Establish clear success metrics, evaluate product and model performance, and use data and customer feedback to continuously improve outcomes.
All About You
  • Solid product management experience, including experience leading product managers or multidisciplinary product teams.
  • Demonstrated success defining strategy and launching and scaling cloud-based or API-enabled products, preferably in payments, fintech, open banking, fraud, or risk.
  • Experience taking products from 0–1 while also managing established products with revenue, customer, reliability, and performance commitments.
  • Strong understanding of AI/ML product development and experience partnering with Data Science teams to translate model capabilities into customer value.
  • Ability to navigate technical…
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