Technical Product Owner, Data Products

Nitel•West Chester, PA

About The Position

Data is crucial to the day-to-day operations and decision-making at Comcast, and the Technical Product Owner for the Data and AI team will play a key role in delivering Comcast goals. This Technical Product Owner will primarily be working with the Product team to analyze and define the data product for Comcast. In this role, this individual will work cross-functionally to develop data products, reports, and help partner with a diverse array of internal data customers to deliver best in class Data products. Among other duties, this individual will help with defining and executing data strategies to meet the business use cases, Additionally, work in a technology-rich and data-rich environment to solve day-to-day data problems at Comcast. Excellent opportunity for a well-rounded, technical, collaborative problem-solver wanting to get into on Data and Product Management. 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 : Product Definition & Roadmaps: Take a business case, identify the +1 opportunity, and work with Technical and Business teams to turn it into clear product features and data product requirements and roadmaps (use cases, MVP, epics, user stories, success metrics). Make sure MVPs and roadmap items follow core data management, governance, and security standards and are scoped correctly for the underlying data and technical platform. Customer-Centric: Learn how customers and stakeholders use the product, capture their needs and pain points, and help translate those insights into clear feature ideas and user stories. Data: Use data and basic metrics to understand how features are performing and share these findings with the team to refine priorities and designs for developing data products Technology: Have a basic understanding of data pipelines, ETL, streaming, storage, compute, and data warehousing (e.g., on AWS) and how they support data products, working with engineering to explore solution options. Communication: Create clear, simple product documentation, release notes, and slides that explain what a feature does and why it matters, for both technical and non technical audiences. Implementation: Help break down requirements into user stories, participate in backlog grooming and design reviews, and validate that delivered features meet agreed business and technical criteria. Collaboration & Support: Serve as a day to day contact for assigned data products by answering basic questions, logging issues, and collecting feedback from internal users, then feeding those insights into the product backlog and discussions with engineers and other product teammates. Analyzes product management activities for several products, or one key product. Serves as a resource to other product managers, assisting them in the resolution of semi-complex problems or may lead them on larger projects. Accountable for profit and loss or budgetary management of assigned products. Gathers input to define product concepts. Justifies expenditures for products. Defines and analyzes markets. Evaluates technologies. Develops detailed product features and requirements and develops implementation plans. Participates in cross-functional teams to envision new product features. Coordinates with outside vendors and strategic partners to ensure that product initiatives are well-defined and delivered on time and within budget. Reviews pricing strategies to insure company profitability and competition in the marketplace. Performs periodic margin analysis. Makes product improvement recommendations to meet changing operational, sales and market needs. Coordinates among a wide range of cross-functional internal and external resources to ensure that products get to market per specifications, within budget and on schedule. Consistent exercise of independent judgment and discretion in matters of significance.

Requirements

Bachelors Degree or Equivalent
4+ years of working in Data Technologies.
Excellent team-work and interpersonal skills
Strong analytical and quantitative background
Responsive, able to adapt to fast-moving projects
Quick learner, comfortable with nascent technologies and emerging strategies
Fluent in MS Office including Word, Excel and strong PowerPoint/Keynote experience
Programming skills and scripting experience combined with understanding of: Data pipelines and workflow orchestration, ETL (Extract, Transform, Load) processes; Data warehousing (design, architecture, and optimization); Storage and compute systems; Cloud platforms, especially AWS (including S3, EC2, Lambda, and security); Streaming technologies (such as Kafka or Kinesis)
SQL Skills
Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.

Responsibilities

Take a business case, identify the +1 opportunity, and work with Technical and Business teams to turn it into clear product features and data product requirements and roadmaps (use cases, MVP, epics, user stories, success metrics). Make sure MVPs and roadmap items follow core data management, governance, and security standards and are scoped correctly for the underlying data and technical platform.
Learn how customers and stakeholders use the product, capture their needs and pain points, and help translate those insights into clear feature ideas and user stories.
Use data and basic metrics to understand how features are performing and share these findings with the team to refine priorities and designs for developing data products
Have a basic understanding of data pipelines, ETL, streaming, storage, compute, and data warehousing (e.g., on AWS) and how they support data products, working with engineering to explore solution options.
Create clear, simple product documentation, release notes, and slides that explain what a feature does and why it matters, for both technical and non technical audiences.
Help break down requirements into user stories, participate in backlog grooming and design reviews, and validate that delivered features meet agreed business and technical criteria.
Serve as a day to day contact for assigned data products by answering basic questions, logging issues, and collecting feedback from internal users, then feeding those insights into the product backlog and discussions with engineers and other product teammates.
Analyzes product management activities for several products, or one key product.
Serves as a resource to other product managers, assisting them in the resolution of semi-complex problems or may lead them on larger projects.
Accountable for profit and loss or budgetary management of assigned products.
Gathers input to define product concepts.
Justifies expenditures for products.
Defines and analyzes markets.
Evaluates technologies.
Develops detailed product features and requirements and develops implementation plans.
Participates in cross-functional teams to envision new product features.
Coordinates with outside vendors and strategic partners to ensure that product initiatives are well-defined and delivered on time and within budget.
Reviews pricing strategies to insure company profitability and competition in the marketplace.
Performs periodic margin analysis.
Makes product improvement recommendations to meet changing operational, sales and market needs.
Coordinates among a wide range of cross-functional internal and external resources to ensure that products get to market per specifications, within budget and on schedule.
Consistent exercise of independent judgment and discretion in matters of significance.