Senior Level BI Specialist Jobs
Senior level bi specialist jobs put experienced professionals in charge of analytics strategy, enterprise data architecture, and the cross-functional teams that turn insights into business decisions. Roles are concentrated across Technology & Software, Manufacturing, and Education, with a mix of on-site, remote, and hybrid settings, and employers like Snap, Lukos, and Oracle hiring at this level now.
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Showing 5 of 22+ Senior Level BI Specialist jobs
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 discipline, including senior leadership responsibility in a complex organization.
- Demonstrated ability to translate analytical findings into business strategies, executive decisions and measurable outcomes.
- Deep understanding of predictive modeling, AI and machine learning, experimentation, forecasting and business-impact measurement.
- Experience leading large, multidisciplinary teams and managing a portfolio of competing priorities across both near-term delivery and long-term capability building.
- Strong executive communication skills, with the ability to make complex concepts accessible and influence cross-functional decisions.
- Understanding of customer acquisition, retention, customer value, product performance and sales and service channel performance.
- Experience partnering with product, technology, data engineering, governance and business leaders to operationalize analytical and AI-enabled solutions.
- Sound judgment regarding data governance, privacy, model risk and responsible AI practice.
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.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer: 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 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.
Skills:
Organizational Leadership; Executive Leadership; Enterprise Analytics; Cross-Functional Leadership; Senior Stakeholder Management; Organizational Strategy
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
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.
Relevant Work Experience
15 Years +
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 discipline, including senior leadership responsibility in a complex organization.
- Demonstrated ability to translate analytical findings into business strategies, executive decisions and measurable outcomes.
- Deep understanding of predictive modeling, AI and machine learning, experimentation, forecasting and business-impact measurement.
- Experience leading large, multidisciplinary teams and managing a portfolio of competing priorities across both near-term delivery and long-term capability building.
- Strong executive communication skills, with the ability to make complex concepts accessible and influence cross-functional decisions.
- Understanding of customer acquisition, retention, customer value, product performance and sales and service channel performance.
- Experience partnering with product, technology, data engineering, governance and business leaders to operationalize analytical and AI-enabled solutions.
- Sound judgment regarding data governance, privacy, model risk and responsible AI practice.
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.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer: 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 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.
Skills:
Organizational Leadership; Executive Leadership; Enterprise Analytics; Cross-Functional Leadership; Senior Stakeholder Management; Organizational Strategy
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
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.
Relevant Work Experience
15 Years +
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Senior Level BI Specialist Jobs: Frequently Asked Questions
How do I get a senior level bi specialist job?
Employers hiring at the senior level look for candidates who have led end-to-end BI implementations, not just contributed to them. Demonstrating ownership over data models, reporting infrastructure, or analytics platforms gives you a clear edge. Highlighting experience mentoring junior analysts, translating ambiguous business problems into measurable data solutions, and influencing decisions at the stakeholder level positions you as a senior-caliber candidate rather than a strong mid-level one.
Which companies hire senior level bi specialists?
Companies hiring senior level bi specialists right now include Snap, Lukos, and Oracle, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large enterprises and high-growth organizations that rely on mature data infrastructure and need specialists who can lead strategic analytics initiatives independently.
Are there remote senior level bi specialist jobs?
Yes, remote and hybrid options are well represented at the senior level. About 40% of senior level bi specialist openings are remote or hybrid as of November 2026, reflecting broad employer confidence in senior professionals who can deliver results and lead teams without daily on-site oversight. On-site roles still exist, particularly in regulated industries or companies building out centralized data teams.
What makes a bi specialist role senior level?
Senior level bi specialist roles are defined by scope, ownership, and influence. Rather than executing tasks assigned by others, senior specialists own the architecture of reporting systems, set standards for data modeling and visualization, and make technical decisions that affect the broader analytics organization. They are expected to mentor junior team members, engage directly with business stakeholders, and lead projects from requirements gathering through delivery without close supervision.
Which industries hire the most senior level bi specialists?
Senior level bi specialist roles concentrate in Technology & Software, Manufacturing, and Education, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate at scale with complex data environments, requiring specialists who can build and govern the BI infrastructure that supports high-stakes business decisions across multiple teams or divisions.