AI Data Engineer - Comcast Global Audit

AI Data Engineer (Level 5)

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.

What You Deliver

• 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., GitHub 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 is secure and follows company policies regarding data classification.
• Analyzes data to assess compliance with established policies/procedures, best practices, US GAAP, and legal/governmental requirements.
• Uses data concepts, tools, and programming techniques including SQL, dbt, Snowflake, Airflow, Tableau, AWS, MS SQL Server, Oracle BI, Teradata, Databricks, Alteryx, Spark, Python, and R to perform ETL and data analysis activities.
• Uses AI technologies and builds solutions using MS CoPilot, GitHub CoPilot, Azure, ChatGPT, etc.
• Develops process flows, prototypes, and requirements documentation to accelerate stakeholder understanding and guide solution development.
• Creates, documents, and executes support process steps and test procedures to ensure data deliverables are accurate and sustainable.
• Facilitates discussions that lead to decision-making throughout the lifecycle of creating and enhancing data solutions.
• Prepares clear and well-organized analysis workpapers, documenting root-cause (as applicable), work performed, findings, and recommendations.
• Creates graphical reports and executive presentations to effectively summarize analysis and findings.
• Accountable for and reviews team workpapers, presentations, and other documentation to ensure they are clear, complete, and well-organized.
• Consistently exercises independent judgment and discretion in matters of significance.
• Assists with managing, scheduling, monitoring, and maintaining automated processes in production.
• Supports department objectives and performs other duties and responsibilities, as assigned.

How You Deliver

• Demonstrates the ability to quickly grasp complex subject matter and apply strong analytical skills and business knowledge to assessing processes, risks, and controls.
• Stays current on data analytics trends (e.g., new tools, statistical methods, visualization techniques), data engineering (e.g., orchestration, observability, step functions, cloud patterns, data governance) and emerging technologies that impact audit work (e.g., AI, Blockchain, RPA).
• Continuously explores and evaluates new tools, libraries, and frameworks relevant to data quality, automation, and audit transparency.
• Performs effectively as a project leader across engagements.
• Shows flexibility in prioritizing and completing tasks, allocating/re-allocating work across engagement team members, or stepping in to support execution, as appropriate.
• Works with discretion applying sound judgment regarding work details on assignments of a varied and difficult nature while maintaining personal and broader team accountability and ownership.

• Utilizes creative thinking, individual initiative, and flexibility in prioritizing and completing tasks.
• Exhibits willingness to tackle new areas and challenging topics.
• Demonstrates the ability to work in a complex, dynamic, and fast-paced environment.
• Assists less experienced team members in understanding and executing data analytics and automation activities.
• Provide ongoing feedback and follow-up to less experienced team members on work completion and performance, as well as ensuring timely delivery of data deliverables for audit engagements.
• Assists less experienced team members in ensuring data deliverables supporting audit engagements are designed with shared logic and developed consistent, accurate, and scalable.
• Provides coaching, guidance, and development on interactions with business management and stakeholders.
• Identifies opportunities for improvement to team activities, tools, and training.
• Transparently keeps CGA management informed of findings / status / important issues as they arise.
• Acts in accordance with stated CGA and company policies and practices, and maintains the highest degree of integrity in all activities and interactions.
• Displays regular, consistent, and punctual attendance. Able to work nights and weekends, variable schedule(s), as necessary. Out-of-town travel may be required at up to approximately 20%.

How You Partner

• Collaborates with members of CGA engagement teams to understand audit activities and identify ways that data analytics and/or automation can enhance overall work product, productivity, or audit coverage.
• Partners strategically with members of audit senior leadership across engagement activities, understanding their perspectives, and proposing / discussing solutions that manage risk and optimize team resources.
• Exhibits strong interpersonal skills including written and verbal communications, and an ability to collaborate with others.
• Shows respect to other team members and clients in all interactions.
• Demonstrates a willingness to assist other team members in areas outside of direct assignments, when necessary.
• Collaborates in a virtual environment to complete projects with team members in various locations.
• Supervises engagement staff member's interactions with business management and helps team members to resolve issues.