Sr. Manager, Data Science (Marketing)

Chamberlain Group is seeking a Sr. Manager, Data Science (Marketing) in Oak Brook, IL. This hands-on leadership role partners with business stakeholders to identify opportunities where innovative data science techniques can significantly advance business objectives. You will translate priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions that support the company’s transformation and rapid growth. The role has high visibility and direct interaction with senior leaders.

Responsibilities

• Build relationships with business leaders to understand their strategy, initiatives, and KPIs, with shared ownership of achieving their goals.
• Lead, manage, and coach highly technical data scientists, including recruiting and onboarding new talent.
• Drive the development and execution of the data science methodology and practices strategy.
• Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
• Act as a catalyst for advanced analytics and data science across Chamberlain Group.
• Educate business users on advanced analytical concepts.
• Collaborate with teams to drive adoption of insights, models, and outputs, and realize incremental impact.
• Identify and apply innovative analytical techniques to achieve business objectives.
• Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs to enable data-driven decisions.
• Identify and manage relationships with outside data science resources and vendors.
• Ensure compliance with health and safety guidelines and maintain information confidentiality to protect the company’s reputation.
• Maintain professional knowledge through education, reading, networking, and participation in professional societies.
• Contribute to team efforts by achieving related results and participating in projects as needed.
• Supervision: Motivate and lead a high-performance team, drive performance management and compensation processes, and maintain transparent communication within the department.
• Foster a workplace culture aligned with the company’s mission, vision, and values.

Requirements

• Master’s degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field.
• 8+ years of relevant work experience; 2+ years directly managing data scientists.
• Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis.
• Proven ability to distill complex business problems into data science and analytics models that are adopted and implemented.
• Demonstrated ability to drive teams to success, influence peers and leaders, and manage change.
• Expertise in directing, developing, and applying machine learning algorithms.
• Strong problem-solving and analytical thinking skills, with excellent communication, teamwork, and attention to detail.
• Advanced proficiency in Python, R, and SQL.
• Experience with data science tools (e.g., Databricks), distributed compute, large-scale data manipulation and analysis, and scaling analytics in the cloud (e.g., Azure).
• Preferred qualifications: Doctorate degree in a quantitative field; experience leading end-to-end data science projects using Agile methodologies; experience in analytical consulting roles.