Sr Manager Data Science

Sr Manager Data Science

Full-time | On-site | Oak Brook, IL

USC or GC Holder ONLY

Job Summary:

This hands-on leadership role is responsible for partnering closely with business stakeholders to identify high-impact opportunities where innovative data science techniques can unlock measurable value. You will lead the transformation of strategic priorities into tangible business outcomes by managing, mentoring, and scaling a high-performing team of data scientists. This high-visibility position interfaces directly with senior leaders and plays a pivotal role in enabling organizational growth and transformation.

Job Responsibilities:

• Build strong relationships with business leaders to deeply understand their strategies, key initiatives, and success metrics—ensuring shared ownership of business outcomes.
• Lead, manage, and mentor a team of highly technical data scientists, including hiring, onboarding, and ongoing development.
• Define and execute the organization’s data science strategy, methodology, and best practices.
• Drive technical engagements with business units and functional leaders across the enterprise.
• Act as a catalyst for advanced analytics and data science adoption throughout the company.
• Educate business users on analytical concepts and advocate for data-driven decision making.
• Collaborate cross-functionally to drive the adoption and integration of models, insights, and tools into business workflows.
• Identify and apply innovative analytical techniques—including machine learning and predictive modeling—to solve complex business problems.
• Lead the end-to-end development and deployment of advanced analytics models, including predictive and prescriptive solutions.
• Manage relationships with external data science vendors and consultants as needed.
• Ensure team compliance with health and safety guidelines and organizational policies.
• Maintain confidentiality and protect organizational information.
• Stay current with advancements in data science by participating in continuing education, industry events, and professional communities.
• Contribute to team goals by supporting related projects and cross-functional initiatives.

Job Requirements:

• Master’s degree in data science, statistics, mathematics, econometrics, engineering, or a related quantitative field
• 8+ years of relevant work experience, including 2+ years directly managing data scientists or data analysts

Knowledge, Skills, and Abilities:

• Deep expertise in statistics, forecasting, and machine learning techniques such as predictive modeling, clustering, and network analysis
• Strong ability to distill complex business challenges into practical data science solutions
• Proven leadership skills with the ability to drive change and influence at all organizational levels
• Experience designing, developing, and deploying machine learning algorithms in production
• Advanced problem-solving and critical thinking abilities
• Excellent communication, collaboration, and attention to detail
• Proficiency in Python, R, and SQL
• Experience with cloud-based data science tools and platforms (e.g., Databricks, Azure), distributed computing environments, and large-scale data processing

Preferred Qualifications:

• Doctorate degree in a related quantitative field
• Experience leading full life-cycle data science projects using Agile methodologies
• Prior experience in analytical consulting or advisory roles