Manager, Software Engineering, Data & AI Platform

Mastercard

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Arlington, VA
Salary: $161,000–$266,000 / yr
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k

This role $214k

$148k $279k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $181,825–$247,100 — the blue band above. At the midpoint, this role pays about $214k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 150 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 142 roles with salary data.

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View all roles at Mastercard

At a glance

TL;DR · Manager, Software Engineering, Data & AI Platform

Role Posting Log in to save

Manager, Software Engineering | Data & AI Platform joins the Data Foundations team within Business & Market Insights to lead a new US-based engineering team. This role involves managing engineers through performance reviews and career development while spending 40-50% of the time on hands-on tasks like critical designs and high-leverage code. The manager will partner with product management to shape scope, own technical architecture, and ensure engineering execution for production services. Key responsibilities include making business definitions and metrics reusable across products. The role requires advanced knowledge of data modeling and data governance, along with experience building production data services on cloud platforms such as Databricks, Snowflake, or AWS. The work focuses on solving shared data problems like secure customer data exchange and AI-assisted data onboarding.

What does a Software Engineering Manager earn?

Median $214394 from 123 postings across 39 companies.

See salary data

Skills

Databricks Snowflake AWS Data Modeling Data Governance Production Data Services AI Tools

What you'll do

Manage and develop engineers by setting goals, providing regular feedback, and conducting performance reviews.
Own the team's technical direction, architecture, and design reviews for production data services.
Spend 40-50% of your time writing high-leverage code and performing critical design reviews.
Partner with product management to shape scope, priorities, and shared accountability for outcomes.
Turn ambiguity into clear engineering plans and manage cross-team dependencies.
Set and uphold standards for design, testing, release, reliability, and production costs.
Communicate progress, risks, and technical decisions to senior leadership.
Implement AI tools to improve development speed and software quality.

What we're looking for

Experience managing engineers, including performance management and career development.
Strong product judgment and a record of shaping what is built rather than 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 skills with both technical and senior audiences.

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