Manager, Software Engineering | Data & AI Platform

Mastercard•Arlington, VA

3d•$161,000 - $266,000

About The Position

Data Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products, including secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality, and AI-assisted customer data onboarding. Engineering and product set direction together and share accountability for outcomes. The team reuses and shapes enterprise platforms where they fit, and addresses shared gaps once. The Manager, Software Engineering will lead a new US-based team. The initial focus is making business definitions, metrics, and dataset relationships reusable across products, with scope expected to grow. The manager will spend 40–50% of their time hands-on. In the first few months, they will agree with product on decision-making, set the target architecture, and ship a first end-to-end slice.

Requirements

Experience managing engineers, including performance management and career development.
Strong product judgment and a record of shaping what is built, not just delivering it.
Recent hands-on experience designing and building production data services on a cloud platform such as Databricks, Snowflake, or AWS.
Advanced knowledge of data modeling and data governance.
Ability to turn ambiguity into clear decisions and influence across teams.
Clear communication with technical and senior audiences.

Responsibilities

Partner with product management to understand users, shape scope and priorities, and share accountability for outcomes.
Manage and develop engineers by setting goals, giving regular feedback, running performance reviews, and helping attract and grow talent as the team expands.
Own the team's technical direction and architecture, deciding what to build, reuse, or influence, and reviewing designs and code.
Spend 40–50% of the time hands-on on critical designs, high-leverage code, and key reviews.
Own engineering execution and dependencies, turning ambiguity into clear decisions and plans.
Set and uphold standards for design, testing, release, reliability, and cost, with clear ownership of production services.
Communicate progress, risks, and decisions to senior leaders.
Help the team use AI tools where they genuinely improve speed or quality.
Abide by Mastercard's security policies and practices, protect the confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete mandatory security training.

Benefits

Insurance, including medical, prescription drug, dental, vision, disability, and life insurance.
Flexible spending account and health savings account.
Paid leaves, including 16 weeks of new parent leave and up to 20 days of bereavement leave.
80 hours of Paid Sick and Safe Time.
25 days of vacation time and 5 personal days, prorated based on date of hire.
10 annual paid U.S. observed holidays.
401(k) with a company match.
Deferred compensation for eligible roles.
Fitness reimbursement or on-site fitness facilities.
Eligibility for tuition reimbursement.