Senior Product Manager, Data & AI Customer Engagement

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Data is critical to Comcast’s operations and long‑term strategy. As a Product Manager 2, Customer Engagement on the Data & AI team, you will play a leading role in shaping how internal customers discover, trust, and use data, governance, and platform products across the enterprise.

Operating in a data‑rich and tech‑forward environment, you will define customer engagement strategies, own customer‑facing engagement roadmaps, and partner closely with business stakeholders and technical product teams to drive measurable product adoption and value. This role requires strong analytical skills, cross‑functional influence, and the ability to think strategically about customer needs.

Job Description

This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Core Responsibilities

• Lead the development and execution of customer engagement strategies that improve understanding, trust, and adoption of data, governance, and platform products.

• Understand customers technical ecosystems and data needs  

• Partner with business stakeholders to identify goals, use cases, and success measures for engagement efforts.

• Own the customer‑facing engagement roadmap and ensure alignment with core product roadmaps across the Data & AI team.

• Act as the Voice of the Customer by gathering, synthesizing, and prioritizing insights that inform product direction and engagement plans.

• Develop and deliver clear, targeted communications and enablement materials (guides, in‑product messages, announcements, training).

• Collaborate closely with Technical Product Owners, engineering, governance, and customer‑facing teams to shape programs and ensure effective delivery.

• Communicate tradeoffs, dependencies, and customer impacts to stakeholders and leadership.

• Drive continuous improvement across engagement processes, measuring effectiveness and optimizing customer journeys.

• Performs competitive analysis and conducts market research. Maintains updated view of key competitive changes.

• Leads concepts defining an end-to-end customer experience and expected full lifecycle costs.

• Contributes to the product vision across team and the organization.

• Conducts feasibility assessments, capability gap analysis (i.e., what is wanted vs. what is attainable).

• Manage change requests. Validates downstream deliverables and final offering (business acceptance testing).

• Consistent exercise of independent judgment and discretion in matters of significance.

• Other duties and responsibilities as assigned.

Qualifications

• 10 years of experience in product management, customer engagement, customer success, or related fields
• Strong experience working with data, governance, analytics, or platform products
• Excellent analytical and quantitative skills; ability to measure customer behavior and product impact
• Proven experience defining or executing customer engagement strategies, programs, or lifecycle journeys
• Strong cross‑functional collaboration skills and ability to influence without authority
• Comfort working in a fast‑moving, evolving environment
• Working knowledge of Data Engineering principles  
• Experience with/understanding of:  Data pipelines and workflow orchestration; ETL processes; Data warehousing (design, architecture, and optimization); Storage and compute systems; Cloud platforms, especially AWS (including S3, EC2, Lambda, and security); Streaming technologies; Da