Hands-on Manager, Data & AI Platform

Mastercard Colombia, Inc.; Arlington (VA); On-site; USD 161,000 - 266,000; Full time

Job summary

Mastercard invites a Manager of Software Engineering to lead a US-based Data & AI Platform team. You will work with product to define scope, set target architecture and ship an end-to-end data slice.

The role balances hands-on coding (40-50%) with people leadership and architectural direction, ensuring reliable, scalable data services on cloud platforms like Databricks, Snowflake, or AWS. You will mentor engineers, drive standards, and communicate progress to senior leaders while advancing

Qualifications

• Experience managing engineers and performance reviews.
• Strong product judgement shaping what is built.
• Hands-on design and build of production data services on cloud platforms.
• Advanced knowledge of data modeling and data governance.
• Ability to influence across teams and communicate clearly.

Responsibilities

• Partner with product management to understand users, shape scope and priorities, and share accountability for outcomes.
• Manage and develop engineers: set goals, give regular feedback, run performance reviews, and help attract and grow talent as the team expands.
• Own the team's technical direction and architecture: decide what to build, reuse or influence, and review designs and code.
• Spend 40-50% of your time hands-on where it counts most: 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.

Skills

Managing engineers

Product judgement

Production data services on cloud

Data modeling

Ambiguity to decisions

Clear communication

Tools

Databricks

Snowflake

AWS

Job description

Mastercard invites a Manager of Software Engineering to lead a US-based Data & AI Platform team. You will work with product to define scope, set target architecture and ship an end-to-end data slice.

The role balances hands-on coding (40-50%) with people leadership and architectural direction, ensuring reliable, scalable data services on cloud platforms like Databricks, Snowflake, or AWS. You will mentor engineers, drive standards, and communicate progress to senior leaders while advancing