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 :
- 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 roadmapsResource Optimization : Ensure teams have appropriate technical resources, tools, and infrastructure to deliver cutting-edge AI / ML solutionsInnovation Facilitation : Create environments that foster technical innovation, enabling teams to explore advanced technologies including LLMs, multimodal AI, and automated scientific discovery workflowsQuality & Delivery Assurance : Establish rigorous project management frameworks ensuring technical deliverables meet business requirements and quality standardsOrganizational Development & Talent Management :
Team Building : Recruit, develop, and retain data science talent in partnership with technical leads; build succession planning for key rolesLeadership Development : Mentor and develop earlier-career managers and senior individual contributors, focusing on both technical growth and leadership capabilitiesPerformance Management : Establish performance metrics, career development frameworks, and recognition programs for large, distributed technical teamsCulture Development : Foster a collaborative, innovative culture that attracts top-tier technical talent and drives excellence through effective leadership and team dynamicsBusiness Partnership & Strategic Impact :
Strategic Consulting : Serve as senior advisor to business leaders on analytical opportunities, translating complex technical capabilities into business valueValue Delivery : Drive measurable business outcomes with accountability for significant revenue impact and operational improvements through effective program managementStakeholder Management : Build and maintain high-trust, influential relationships with senior internal stakeholders and key external partners, serving as primary business interface for technical initiativesBusiness Case Development : Develop compelling business cases for major data science investments, and present to senior leaders to inform critical business decisionsQualifications :
Master's Degree required in business, engineering, or quantitative disciplineTechnical background preferred but not required (Statistics, Computer Science, Applied Mathematics, Data Science, etc.)15+ years progressive experience in business leadership, technical team management, or other related rolesProven track record leading enterprise-scale initiatives with measurable business impactExperience working closely with data science, engineering, or technical teams (direct technical experience preferred but not required)Experience in scientific / pharmaceutical / chemical industries preferredDemonstrated success in organizational scaling and change managementStrong executive presence with ability to influence senior stakeholdersProven ability to manage complex, multi-stakeholder technical initiativesExcellent strategic thinking and business acumenExperience building and scaling high-performing technical organizationsAbility to effectively communicate with both technical teams and business stakeholdersStrong program management and operational excellence skillsComfort working with technical teams and understanding technical concepts at a high levelAbility to facilitate technical discussions and decision-making processesUnderstanding of data science project lifecycles and delivery methodologiesFamiliarity with modern technology platforms and development practices preferredCAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO / Disabled / Veteran