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 SVP, Enterprise Business Intelligence & Decision Sciences will be a strategic, business-focused executive leading Xfinity decisioning, business intelligence, AI Product implementation, advanced analytics and applied data science. This leader will translate data and analytics into actionable strategies that support residential subscriber growth, customer retention, customer value and improved customer experience.
Responsible for partnering with senior executives and cross-functional leaders to identify business opportunities, guide critical decisions and measure results. The role brings together analytics, reporting, decision science and AI capabilities to help the business understand performance, prioritize investments and deliver measurable impact.
Lead a large, multidisciplinary organization, setting a clear vision, building a strong leadership team and establishing the structure, culture and operating discipline needed to deliver at scale. Success requires developing leaders, aligning teams around shared priorities and balancing near-term business delivery with long-term organizational capability.
Job Description
Responsibilities:
Lead an integrated portfolio spanning decision science, advanced analytics, business intelligence, reporting, AI Product implementation and applied data science, aligned with Xfinity business priorities and growth opportunities.
Deliver data-driven insights supporting customer acquisition, retention, cross-sell, offer effectiveness, product mix, customer value and competitive performance.
Oversee the development, evaluation and business adoption of models for personalization, targeting, churn prevention, next-best action and channel optimization.
Define approaches for experimentation, attribution, forecasting, incrementality and return-on-investment analysis, supported by consistent performance measures.
Translate complex analytical findings into clear executive recommendations that explain business drivers, identify opportunities and assess the impact of actions.
Provide analytical support across sales, marketing, digital, service, product, content, customer experience and network reliability.
Partner with Technology, AI Product, data engineering and data governance teams to improve data quality, reporting reliability, scalability and adoption of analytical solutions.
Establish standards for analytical accuracy, model validation, monitoring, explainability, fairness, privacy, responsible AI and appropriate use.
Create consistent KPI and measurement frameworks that enable leaders to evaluate performance, compare alternatives and make informed investment decisions.
Translate enterprise strategy into a clear organizational agenda, ensuring teams understand priorities, tradeoffs and how their work contributes to business results.
Lead and develop a large, multidisciplinary organization, fostering collaboration, technical excellence, accountability and a strong connection between analytical work and business outcomes.
Build organizational capability through talent development, succession planning, portfolio prioritization and disciplined operating practices.
Qualifications
Extensive progressive experience in decision science, analytics, applied data science, AI, business intelligence or a related…