AI Data Engineer – Comcast Global Audit

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day.

If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

The AI Data Engineer (Level
5) plays a critical role in driving best practices supporting Comcast Global Audit (CGA) by building, supporting, and maintaining a modern audit data platform supporting advanced data analytics, automation, and artificial intelligence. This role focuses on designing scalable, AI and automation solutions, as well as resilient data pipelines with a strong emphasis on automation, quality, governance, and observability. The ideal candidate brings deep technical expertise, strong system thinking, and the ability to lead technical decisions that drive scalability, trust, and transparency across the audit data ecosystem.

As part of CGA team, the AI Data Engineer (Level
5) is responsible for:

• Clarifying and designing solution requirements and architecture for AI / Automation working with auditors by understanding their processes and seeking to identify opportunities to streamline
• Turning fragmented, manual data inputs into production-grade pipelines that support audit engagements across Comcast’s business units
• Supporting and providing feedback in the design of scalable data solutions that support audit objectives
• Overseeing other team members in driving consistency across data ecosystem
• Proactively identifying improvement areas that can lead to increased standardization and automation, leveraging artificial intelligence where relevant, strategically aligning with audit senior leaders on ways to improve and streamline audit testing

This role offers broad exposure to the Comcast Corporation through the audit process and provides opportunities to influence risk management strategies through data-driven insights.

• Demonstrates solid project management skills for AI, automation, and/or data related projects, including developing project plans and budgets, scheduling deliverables across CGA teams, executing per plan, and messaging status/issues to management.
• Translates loose business requirements and problem statements to proposed solutions, clarifying process flows, points of challenges, and opportunities to optimize.
• Designs, builds, and maintains AI / automation solutions as well as resilient, automated data pipelines.
• Implements modular, well‑documented transformation logic and data models to support standardized audit workflows.
• Builds end‑to‑end pipeline monitoring: logging, alerting, and traceability from source ingestion to report‑ready datasets.
• Develops and supports CI/CD pipelines (e.g., Git Hub Actions) for secure, auditable deployments of infrastructure and code.
• Manages data integration across diverse sources (APIs, SFTP, databases) using secure, repeatable patterns with version control and infrastructure‑as‑code practices.
• Independently delivers robust engineering solutions with minimal supervision, including root‑cause analysis and long‑term fixes for data pipeline issues.
• Leads code reviews and contributes to evolving team‑wide engineering standards, documentation, and architecture, championing best practices.
• Delivers incremental benefits with tangible deliverables balancing short‑term audit needs with long‑term architectural improvements that reduce technical debt and manual effort.
• Maintains strong operational rigor such as writing testable, observable, well‑documented code that scales across engagements.
• Engages in collaborative planning and sprint cycles with cross‑functional data teams to align on scope, milestones, and blockers.
• Ensures all data…