BN31M2-Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 115 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide. CAS is currently seeking a Senior Manager, Data Science & Analytics. This position will be located in our headquarters in Columbus, Ohio.

Position Summary : The Senior Manager, Data Science & Analytics will lead strategic data science initiatives across multiple business units while managing a larger, more complex portfolio of advanced analytical projects. They will oversee data science teams, drive cross-functional collaboration at the senior leadership level, and establish best practices for scaling data science capabilities across CAS. This role requires proven expertise in managing complex, enterprise-level programs while enabling and empowering technical teams to deliver breakthrough AI / ML applications for scientific discovery.

Job Accountabilities :

• Strategic Program Leadership Team Oversight : Lead and coordinate a team of data science professionals working across multiple business verticals, ensuring alignment with enterprise objectives
• Cross-Functional Strategy : Partner with senior-level stakeholders across Product, Technology, Content Operations, and other teams to define and execute data-driven strategic initiatives
• Portfolio Management : Oversee complex portfolio of concurrent high-impact projects, optimizing resource allocation and ensuring delivery excellence
• Best Practices Development : Establish enterprise-wide standards for data science project management, delivery methodologies, and operational excellence
• Technical Program Management & Enablement
• Technical Vision Translation : Partner with senior technical leaders to translate business requirements into actionable technical strategies and roadmaps
• Resource Optimization : Ensure teams have appropriate technical resources, tools, and infrastructure to deliver cutting-edge AI / ML solutions
• Innovation Facilitation : Create environments that foster technical innovation, enabling teams to explore advanced technologies including LLMs, multimodal AI, and automated scientific discovery workflows
• Quality & Delivery Assurance : Establish rigorous project management frameworks ensuring technical deliverables meet business requirements and quality standards
• Organizational Development & Talent Management
• Team Building : Recruit, develop, and retain data science talent in partnership with technical leads; build succession planning for key roles
• Leadership Development : Mentor and develop earlier-career managers and senior individual contributors, focusing on both technical growth and leadership capabilities
• Performance Management : Establish performance metrics, career development frameworks, and recognition programs for large, distributed technical teams
• Culture Development : Foster a collaborative, innovative culture that attracts top-tier technical talent and drives excellence through effective leadership and team dynamics
• Business Partnership & Strategic Impact
• Strategic Consulting : Serve as senior advisor to business leaders on analytical opportunities, translating complex technical capabilities into business value
• Value Delivery : Drive measurable business outcomes with accountability for significant revenue impact and operational improvements through effective program management
• Stakeholder Management : Build and maintain high-trust, influential relationships with senior leaders