Senior Technical Program Manager-Data Science

Mastercard · Toronto, Canada · Vancouver, Canada

onsitefull-time6-10 years

posted 22h

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 Senior Technical Program Manager-Data Science Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Security Solutions Data Science team is looking for an experienced Senior Technical Program Manager with an understanding of data science who is eager to take on the responsibility of managing a wide variety of data science projects. The person in this role will join a team of leading edge data scientists who use AI to secure the legitimate movement of money for everyone. We are working to solve fraud related problems for our customers through AI as a foundation for new product offerings. The Technical Program Management team enables smoother execution of the Security Solutions Data Science program to make our stakeholders’ lives easier. You will interact with data scientists, product managers, engineers, and senior leaders across partner teams in the organization to deliver complex projects. You will define roadmap deliverables, develop execution plans, align dependencies, track progress, anticipate risks, provide escalation management, make sound trade-off decisions, and translate technical expressions into business terminology. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. You are expected to be detail-oriented, with a solid technical background and excellent problem-solving skills. All staff at Mastercard are expected to demonstrate 'Mastercard Way' cultural values every day - own it, simplify it, sense of urgency, thoughtful risk-taking, unlock potential, and be inclusive – with a relentless focus on our customers. As a Senior Technical Program Manager for data science, you are expected to perform the following general responsibilities: Role • Develop and maintain the team strategy roadmap by translating business and technical priorities into clear initiatives, milestones, sequencing, and measurable outcomes • Partner across data science, engineering, product, and leadership teams to align roadmap priorities with business goals, platform strategy, capacity, and cross-team dependencies • Lead roadmap planning routines, including intake, prioritization, trade-off discussions, quarterly planning, progress reviews, and ongoing adjustments as team or business needs evolve • Provide visibility into roadmap health by tracking commitments, risks, dependencies, decision points, and delivery progress across strategic initiatives • Serve as the primary liaison between data science and engineering, managing day-to-day planning and execution of data science projects related to: • Data production and data pipelines spanning the data science organization • AI tooling initiatives for data science • Model monitoring, including tooling, AI engineering, and operati