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About the Role

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. 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.

Responsibilities

Clarify and design solution requirements and architecture for AI/Automation.
Transform fragmented, manual data inputs into production-grade pipelines for audit engagements.
Support and provide feedback on scalable data solution design for audit objectives.
Oversee team members to ensure consistency across the data ecosystem.
Proactively identify improvement areas for standardization and automation, leveraging AI.
Manage AI, automation, and data projects, including planning, budgeting, scheduling, execution, and status reporting.
Translate business requirements and problem statements into proposed solutions, clarifying process flows and optimization opportunities.
Design, build, and maintain AI/automation solutions and resilient, automated data pipelines.
Implement modular, well-documented transformation logic and data models for standardized audit workflows.
Build end-to-end pipeline monitoring, including logging, alerting, and traceability.
Develop and support CI/CD pipelines (e.g., GitHub Actions) for secure, auditable deployments.
Manage data integration across diverse sources (APIs, SFTP, databases) using secure, repeatable patterns.
Deliver robust engineering solutions independently, including root-cause analysis and long-term fixes.
Lead code reviews and contribute to evolving team-wide engineering standards, documentation, and architecture.
Deliver incremental benefits with tangible deliverables, balancing short-term needs with long-term architectural improvements.
Maintain strong operational rigor by writing testable, observable, well-documented, scalable code.
Engage in collaborative planning and sprint cycles with cross-functional data teams.
Ensure data security and compliance with company data classification policies.
Analyze data to assess compliance with policies, procedures, best practices, US GAAP, and legal/governmental requirements.
Perform ETL and data analysis activities using various data concepts, tools, and programming techniques.
Build AI solutions using specified AI technologies.
Develop process flows, prototypes, and requirements documentation.
Create, document, and execute support process steps and test procedures for data deliverables.
Facilitate decision-making throughout the lifecycle of data solution creation and enhancement.
Prepare clear, well-organized analysis workpapers, documenting root-cause, work performed, findings, and recommendations.
Create graphical reports and executive presentations to summarize analysis and findings.
Review team workpapers, presentations, and documentation for clarity, completeness, and organization.
Exercise independent judgment and discretion in significant matters.
Assist with managing, scheduling, monitoring, and maintaining automated processes in production.
Support department objectives and perform assigned duties.
Apply strong analytical skills and business knowledge to assess processes, risks, and controls.
Stay current on data analytics trends, data engineering, and emerging technologies impacting audit work.
Continuously explore and evaluate new tools, libraries, and frameworks for data quality, automation, and audit transparency.
Perform effectively as a project leader across engagements.
Prioritize and complete tasks flexibly, allocating work across team members or supporting execution.
Exercise sound judgment and maintain accountability for work details.
Utilize creative thinking, individual initiative, and flexibility in task prioritization and completion.
Tackle new areas and challenging topics.
Work effectively in a complex, dynamic, and fast-paced environment.
Assist 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.
Assist less experienced team members in ensuring data deliverables are consistent, accurate, and scalable.
Provide coaching, guidance, and development on interactions with business management and stakeholders.
Identify opportunities for improvement to team activities, tools, and training.
Keep CGA management informed of findings, status, and important issues.
Act in accordance with CGA and company policies, maintaining the highest integrity.
Display regular, consistent, and punctual attendance.
Work nights and weekends, variable schedules, as necessary.
Travel out-of-town up to approximately 20%.
Collaborate with CGA engagement teams to enhance audit work product, productivity, or coverage using data analytics/automation.
Partner strategically with audit senior leadership, proposing solutions that manage risk and optimize resources.
Collaborate with others, demonstrating strong interpersonal, written, and verbal communication skills.
Show respect to team members and clients.
Assist other team members in areas outside of direct assignments when necessary.
Collaborate in a virtual environment with team members in various locations.
Supervise engagement staff interactions with business management and help resolve issues.
Build collaborative relationships with key business partners and system owners.
Coach audit team members on data analytics, automation techniques, and business knowledge.
Assist engagement team in understanding relevant business risks and training on engagement planning/execution.
Utilize available resources and tools to research and expand knowledge.
Commit to continuous self-improvement, leveraging strengths and focusing on development areas.
Gain and apply knowledge of IT controls and cyber security concepts to engagements.
Manage and mentor engagement team members to develop audit, data, and business knowledge.
Assist less experienced team members with their development.

Requirements

10+ years of relevant work experience
Ability to work nights and weekends, variable schedules, as necessary
Ability to travel out-of-town up to approximately 20%

Skills

Artificial Intelligence (AI)
Communication
dbt Core
ETL Pipelines
Snowflake Data Warehouse
Solution Architecture Design
Structured Query Language (SQL)
Airflow
Tableau
AWS
MS SQL Server
Oracle BI
Teradata
Databricks
Alteryx
Spark
Python
R
MS CoPilot
GitHub CoPilot
Azure
ChatGPT
GitHub Actions (CI/CD)
Project Management
Analytical Skills
Business Knowledge
Creative Thinking
Individual Initiative
Flexibility
Interpersonal Skills
Written Communication
Verbal Communication
Collaboration
System Thinking
Data Analytics Trends
Data Engineering (orchestration, observability, step functions, cloud patterns, data governance)
Emerging Technologies (AI, Blockchain, RPA)
IT Controls
Cyber Security Concepts

Experience Level

10+ years of relevant work experience
Level 5

Education Level

Bachelor's Degree
Some combination of coursework and experience
Extensive related professional experience

Benefits

Array of options, expert guidance, and always-on tools personalized to meet individual needs, supporting physical, financial, and emotional well-being.

About the Company

Comcast brings together the best in media and technology, driving innovation to create world-class entertainment and online experiences. As a Fortune 50 leader, the company sets the pace in innovative businesses, offering career opportunities across diverse locations and disciplines. Comcast is at the forefront of change, delivering cutting-edge products and services to millions of customers daily.
At Comcast, you have the power to connect the world. Your career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.

Equal Opportunity

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.