VP, Data Science at Comcast (Philadelphia, PA)

| Philadelphia, PA
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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
In this executive leadership opportunity, you will partner cross-functionally to identify opportunities to conceive and develop advanced analytics/AI solutions to drive business impact and influence strategy.

This highly visible role will be a data science and engineering thought leader and key executive partner in the organization. With a bias for action, you will translate business questions into solvable data science problems grounded in business context. To do so, you will marry business acumen with technical prowess to identify and utilize appropriate methodologies with a disciplined end-to-end delivery that is evaluated based on business impact and shared objectives. You will influence positive improvements across organizational boundaries through clear and compelling communication.

As a member of the EBI Senior Leadership Team, collaboration and strategic thinking is critical. This leader and their team partners with three primary groups: internally with peers in EBI, cross-functionally with business and technology, as well as external vendors. You will set the direction and tone of the Data Science organization. This people leader will hire, retain and scale a diverse, geographically dispersed, high-performing team of data scientists and engineers. As the team leader, you will promote team morale and excitement with a positive attitude by conveying an exciting purpose and impact for the Data Science team.

Job Description

Core Responsibilities:
  • Own the strategy and prioritization of data science projects that drive business impact.
    • Identify the most critical company initiatives to engage in and pinpoint untapped opportunities
    • Be proactive by asking questions, ensuring that the right questions are being answered with appropriate level of rigor that lead to clear and actionable recommendations
    • Generate scalable solutions in partnership with various functional teams to deliver the optimal business value grounded in sound methodologies that predict outcomes and prescribe actions
    • Oversee and lead multiple projects in a fast-paced environment adapting to shifting priorities

  • Continue to drive the Comcast culture towards automated decisioning that delivers incremental business value
    • Become a trusted partner to marketing, product, sales, operations, customer experience, and channel leadership by creating value through practical applications of data science
    • Fortify organizational processes and structure for scale, and help set the vision of data science team and applications within the organization while partnering cross-functionally
    • Partner with other technical leaders to drive innovation and provide operational leadership

  • Lead a team that designs and executes all Data Science projects to deliver business value across all Comcast goals around Sales/Marketing, Product as well as the Employee and Customer Experience
    • Motivate, coach and develop a team of ~30 employees and contractors
    • Inspire them to learn the business, unlock the business value and build partnerships across teams by defining compelling, shared objectives

Professional Experience & Qualifications:
  • Deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus rapid prototyping in agile development environments that can scale to solve business problems
  • The technical depth to guide a team of AI/ML experts in applying the most appropriate techniques with a preference for driving business impact over technical amazement
  • Exceptional ability to synthesize and simplify the natural complexity of AI/ML so that recommendations can drive business buy-in and action
  • Outstanding executive presence with strong communication and storytelling skills through presentations and communications to small and large audiences at the senior executive level
  • Highly curious, with an ability to proactively determine the unspoken questions/problems and craft a plan to answer the larger issue at hand or foreseen.
  • Inclusive leadership that values and promotes diversity of thought and cultural intelligence
  • Ability to manage complex projects while meeting deadlines and managing people to achieve optimal results
  • Collaboration ethos that puts the team's success and business impact ahead of everything else

Employees at all levels are expected to:
  • 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.
  • Respect and promote inclusion & diversity.
  • Do what's right for each other, our customers, investors and our communities.

Education Level
  • Bachelor's Degree or Equivalent, Advanced degree preferred

Field of Study
  • Computer Science, Statistics, Math, Business or related field of study

Years Experience
  • Requires a minimum of 15 years related experience


This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

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.

Bachelor'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)

Relative 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, or any other basis protected by applicable law.
More Information on Comcast
Comcast operates in the Digital Media industry. The company is located in Philadelphia, PA, New York, NY, Universal Parks & Resorts, FL, Miami, FL, Universal City, CA and Sunnyvale, CA. Comcast was founded in 1963. It has 68848 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 404 open jobs at Comcast, click here.
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