Detroit Lions
Head of Advanced Analytics
will lead the advanced analytics team, supporting business operations through strategic initiatives by using descriptive, diagnostic, predictive, and prescriptive analytics. In addition, they will oversee and lead business intelligence, machine learning (ML) and artificial intelligence (AI) efforts. This role is responsible for managing projects that drive revenue, enhance the fan experience, and optimize organizational operations.
Key responsibilities include overseeing reporting operations, business intelligence solutions, and ML and AI initiatives. The Director will collaborate with all departments to enable a data-driven culture across the organization, ensuring data is leveraged effectively to achieve strategic objectives.
ESSENTIAL FUNCTIONS (including, but not limited to):
Oversee all projects and staff within the Advanced Analytics department
Research, evaluate, and implement best‑in‑class solutions for descriptive, diagnostic, predictive, and prescriptive analytics across different business units
Oversee business intelligence, machine learning (ML), and artificial intelligence (AI) efforts
Collaborate with department heads to leverage data sources in achieving their objectives
Own and implement all reporting solutions for all business departments
Assist the data operations team with the fan data platform, including the incorporation of new sources and enabling all departments to leverage the platform effectively
Develop presentations and reports for leadership based on current business objectives
Oversee pricing, forecasting, lead generation, and projections to support revenue teams.
Manage the centralized analytics hub, serving as a key resource for all departments
Partner with internal departments to improve reporting and ensuring accuracy of reports
Provide modeling and data science solutions for key business decisions
Lead the implementation and oversee the ongoing operations of the Analytics War Room project, ensuring its effectiveness as a strategic decision‑making hub
NONESSENTIAL FUNCTIONS:
Conduct regular meetings with staff to track progress on initiatives
Will be motivated, reliable, and able to work independently or as part of a team
Outgoing and ambitious, looking to be a solution provider and help assist other teams
Maintains professionalism when communicating with internal and external contacts
Will accurately and efficiently meet deadlines while maintaining a strong attention to detail
Will gather and analyze information to develop solutions quickly and effectively
Adaptable, persuasive and demonstrate ability to solve problems
Developed influencing skills and work successfully in cross functional teams
Will adjust work schedule to meet departmental demands
Will accept other responsibilities and duties required by the supervisor consistent with the objectives and essential functions of this position.
QUALIFICATIONS / REQUIREMENTS:
Bachelor’s or MBA degree in Business, Computer Science, Statistics or related field required
Minimum of 8 years of experience in business intelligence, analytics or related experience
Minimum of 3 years of management experience
Proficient in Python for data management and data science
Proficient in SQL and using it within the context of an enterprise data warehouse
Experience with simulation methods for forecasting
Firm understanding and experience with statistical modeling and causal analysis
Experience with data visualization software, including Qlik Cloud and Sigma
Experience with Snowflake or similar data warehouse technologies
Proficient in leveraging cloud computing platforms such as AWS, GCP, and/or Azure
Experience using APIs, web services, and automating tasks
Preferred experience with Ticketmaster ticketing platform
Experience with Facebook Ads Manager, Google Analytics, DV360 and LinkedIn Marketing
Experience building detailed presentations for senior leadership utilizing PowerPoint
Experience working with large volumes of data and cleansing data for analysis
Experience in professional sports, particularly business strategy is preferred
Ability to apply knowledge on predictive modeling, time series analyses, machine learning to solve large scale business problems, to research and create cutting edge solutions.
Knowledge of fundamental concepts of ticketing, corporate partnerships, suites, marketing, and finance departments operations
The Detroit Lions, Inc. are committed to developing a diverse workforce that reflects and serves the diverse community and stakeholders we love. We are also subject to certain governmental record‑keeping and reporting requirements to ensure compliance with various laws. We invite applicants to voluntarily self‑identify so that we can meet these objectives. This information will be confidential and will not be visible to anyone involved in hiring decisions. The information will only be used in accordance with the provisions of applicable regulations. Applicants are considered without regard to any legally protected characteristic. Your decision to complete the form and your refusal or any information you provide will not be held against you or subject you to adverse treatment.
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will lead the advanced analytics team, supporting business operations through strategic initiatives by using descriptive, diagnostic, predictive, and prescriptive analytics. In addition, they will oversee and lead business intelligence, machine learning (ML) and artificial intelligence (AI) efforts. This role is responsible for managing projects that drive revenue, enhance the fan experience, and optimize organizational operations.
Key responsibilities include overseeing reporting operations, business intelligence solutions, and ML and AI initiatives. The Director will collaborate with all departments to enable a data-driven culture across the organization, ensuring data is leveraged effectively to achieve strategic objectives.
ESSENTIAL FUNCTIONS (including, but not limited to):
Oversee all projects and staff within the Advanced Analytics department
Research, evaluate, and implement best‑in‑class solutions for descriptive, diagnostic, predictive, and prescriptive analytics across different business units
Oversee business intelligence, machine learning (ML), and artificial intelligence (AI) efforts
Collaborate with department heads to leverage data sources in achieving their objectives
Own and implement all reporting solutions for all business departments
Assist the data operations team with the fan data platform, including the incorporation of new sources and enabling all departments to leverage the platform effectively
Develop presentations and reports for leadership based on current business objectives
Oversee pricing, forecasting, lead generation, and projections to support revenue teams.
Manage the centralized analytics hub, serving as a key resource for all departments
Partner with internal departments to improve reporting and ensuring accuracy of reports
Provide modeling and data science solutions for key business decisions
Lead the implementation and oversee the ongoing operations of the Analytics War Room project, ensuring its effectiveness as a strategic decision‑making hub
NONESSENTIAL FUNCTIONS:
Conduct regular meetings with staff to track progress on initiatives
Will be motivated, reliable, and able to work independently or as part of a team
Outgoing and ambitious, looking to be a solution provider and help assist other teams
Maintains professionalism when communicating with internal and external contacts
Will accurately and efficiently meet deadlines while maintaining a strong attention to detail
Will gather and analyze information to develop solutions quickly and effectively
Adaptable, persuasive and demonstrate ability to solve problems
Developed influencing skills and work successfully in cross functional teams
Will adjust work schedule to meet departmental demands
Will accept other responsibilities and duties required by the supervisor consistent with the objectives and essential functions of this position.
QUALIFICATIONS / REQUIREMENTS:
Bachelor’s or MBA degree in Business, Computer Science, Statistics or related field required
Minimum of 8 years of experience in business intelligence, analytics or related experience
Minimum of 3 years of management experience
Proficient in Python for data management and data science
Proficient in SQL and using it within the context of an enterprise data warehouse
Experience with simulation methods for forecasting
Firm understanding and experience with statistical modeling and causal analysis
Experience with data visualization software, including Qlik Cloud and Sigma
Experience with Snowflake or similar data warehouse technologies
Proficient in leveraging cloud computing platforms such as AWS, GCP, and/or Azure
Experience using APIs, web services, and automating tasks
Preferred experience with Ticketmaster ticketing platform
Experience with Facebook Ads Manager, Google Analytics, DV360 and LinkedIn Marketing
Experience building detailed presentations for senior leadership utilizing PowerPoint
Experience working with large volumes of data and cleansing data for analysis
Experience in professional sports, particularly business strategy is preferred
Ability to apply knowledge on predictive modeling, time series analyses, machine learning to solve large scale business problems, to research and create cutting edge solutions.
Knowledge of fundamental concepts of ticketing, corporate partnerships, suites, marketing, and finance departments operations
The Detroit Lions, Inc. are committed to developing a diverse workforce that reflects and serves the diverse community and stakeholders we love. We are also subject to certain governmental record‑keeping and reporting requirements to ensure compliance with various laws. We invite applicants to voluntarily self‑identify so that we can meet these objectives. This information will be confidential and will not be visible to anyone involved in hiring decisions. The information will only be used in accordance with the provisions of applicable regulations. Applicants are considered without regard to any legally protected characteristic. Your decision to complete the form and your refusal or any information you provide will not be held against you or subject you to adverse treatment.
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