Chief Data and AI Officer - SVP, Data Platforms & AI Technology

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.

Job Summary

The Chief Data and AI Officer (CDAO) is a Sr Vice President at Comcast and is responsible for overseeing the organization's data strategy, governance, and operations, as well the company’s AI technology center of excellence. This senior level executive is deeply involved in developing and implementing a comprehensive data governance framework, ensuring data integrity, privacy, and security, and driving the strategic use of data to enable AI across the enterprise. The CDAO will lead the data platform technology strategy, manage data privacy operations, and oversee the design and maintenance of data warehouses and data lakes.

Job Description

Key Responsibilities:
 

Data Platform Technology Strategy and Architecture

• Develop and execute a strategic data technology roadmap that aligns with the organization's goals

• Oversee the selection, implementation, and management of enterprise-wide data platforms and infrastructure.
• Drive innovation by evaluating emerging technologies and recommending suitable adoption strategies.
• Develop and maintain the enterprise data architecture to support AI and Business Intelligence needs.

Data Governance and Privacy

• Develop and implement a comprehensive data governance framework to ensure data integrity, privacy, and security across the organization.

• Establish and enforce data governance policies, standards, and procedures to drive consistency and compliance.
• Ensure end-to-end accountability and visibility of personal identifiable data and sensitive information.
• Collaborate with legal and compliance teams to ensure adherence to privacy laws and regulations.
• Leverage AI technologies to automate as much of the manual efforts associated with data governance and privacy as possible.

Data Platform Engineering and Operations

• Oversee the design, development, and maintenance of data warehouse and data lake infrastructure.
• Lead the data platform engineering team in building scalable and reliable data platforms.
• Optimize data pipelines, ensure data quality, and implement effective data integration strategies.
• Evaluate and integrate AI-driven data processing and analytics tools to enhance data accessibility, quality, and decision-making across the enterprise.
   

AI Techology Strategy & Enablement

• Lead the company’s AI Center of Excellence function that is responsible for AI guidance, AI solutions and AI capabilities.
• Guide the use of AI with strategy, governance, research, and AI education – ensuring we move in the right direction, safely, securely, and responsibly.
• Develop AI solutions to challenging business problems by forming cross-functional teams with applied AI expertise.
• Develop AI capabilities that accelerate our AI journey with cutting-edge tools, scalable infrastructure, and AI/MLOps that enable speed and efficiency.

Qualifications:

• Five or more years of experience leading AI/ML teams with a deep understanding of AI/ML technology.
• Proven experience leading teams responsible for data platforms, data governance, and data security, preferably as a Chief Data Officer or similar.
• Strong understanding of data governance, privacy regulations, and data security best practices.
• Experience with data platform technologies, data warehousing, and data lake infrastructure.
• Excellent leadership and team management skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• A natural change agent. Combines emotional intelligence with interpersonal skills to establish trust and lead change.
• Values relationships to optimize change management and develop new organizational models.
• Acts as thought leader when needed to shape new opportunities and able to let others take the lead without disengaging.
• Leads with authenticity, openness and is not afraid of taking calculated risks.
• Passionate about creating high performing teams.
• Is motivated by achievement in the face of obstacles and always aims to make the company better.
• Displays decisiveness when needed with strong executive verbal and written communication.
• Is result oriented, focusing on business value optimization and performance management.   

Preferred Qualifications:

• Experience in the telecommunications or technology industry.
• Advanced degree in Data Science, Computer Science, Information Technology, or a related field.

Skills

Analytical Thinking, Cross-Functional Leadership, Data Architecture, Data Governance, Data Strategies, Enterprise Data, Leadership

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Please visit the benefits summary on our careers site for more details.

Education

Master's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

15 Years +

Comcast is proud to be 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.