Senior Technical Program Manager, Data Science

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy 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.

Senior Technical Program Manager, Data Science 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.

The Security Solutions Data Science organization is looking for an experienced 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 are not just building models, but are working to solve fraud related problems for our customers through AI as a foundation for new product offerings.

The Technical Program Manager 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:
Primary liaison between product and data science, managing day-to-day planning and execution of data science projects through the entire engagement process, from business understanding through model deployment and monitoring.

Looked to as first point of contact for your teams or business line/service and the single source of truth for status, providing the correct information and associated data about the state of the project to the right audience at the right time with the right focus.

Build strong partnerships with product and technology teams and align esnure alignment with data science efforts.

Translate technical approaches and outcomes into business language.

Understands the business strategy and design approaches within product, program, or domain with depth to be credible and influential with teams they work with.

Clearly articulate scope, timelines, dependencies, owners, actions, risks, and mitigations. Report progress to teams and senior leadership in regular cadence, potentially representing segments of or the entire program.

Work with data scientists and engineering teams to build/improve ways of working and identify and mitigate risks or issues that may impact the plan.

Conducts meaningful retrospectives, creates action plans to implement changes at the team level.

It is not expected that any single candidate would have expertise across all these areas. Experience with project management, operating autonomously across multiple teams, with demonstrated critical thinking, and thought leadership.

Demonstrated experience breaking down problems, organizing work, planning, and building.

Help product, data…