Associate Director, Enabling Functions Analytics
Bristol Myers Squibb, Princeton, NJ, United States
Overview
Working with Bristol Myers Squibb is described as challenging, meaningful, and life-changing. This role focuses on scaling analytics capabilities across corporate functions, translating complex data into actionable insights, driving operational efficiency, and elevating analytics maturity across the enterprise. The candidate should be a technically deep, full-spectrum analytics practitioner with experience in executive-ready visualizations, data science solutions, and basic working knowledge of GenAI-powered analytics, combining hands-on technical excellence with strategic thinking and strong leadership in a matrixed environment.
Responsibilities
Serve as a hands-on technical leader across the full analytics stack, architecting end-to-end solutions spanning BI/visualization, data science, and GenAI-powered analytics
Identify, design, and deploy GenAI-driven analytics solutions (e.g., LLM-powered insights, natural language data querying, AI-assisted reporting, agentic workflows) to modernize how enabling functions consume data and insights
Act as a strategic analytics partner to enabling functions (HR, Finance, Compliance, Procurement, Legal, IT, etc.), aligning analytical capabilities to business priorities and measurable outcomes
Translate complex analytical outputs into clear, decision-ready recommendations and executive-level narratives for senior stakeholders
Advance analytics maturity through standardized frameworks, reusable assets, governance best practices, and alignment with enterprise data platform standards
Lead, mentor, and influence across a highly matrixed organization, developing junior analysts and driving cross-functional collaboration while balancing competing priorities
Skills & Competencies
Business partnering & Leadership:
Proven ability to translate complex business problems into scalable analytical solutions with strong executive communication and data storytelling skills
Visualization & Reporting:
Proficiency in Power BI (data modeling, RLS, dashboard design) with strong SQL skills for complex querying and transformation
Data Science & Advanced Analytics:
Hands-on Python and applied experience with data science solutions, statistical analysis, predictive modeling, NLP to deliver real business solutions
GenAI & Modern Analytics:
Working knowledge of building with LLMs and familiarity with agentic workflows and GenAI frameworks
Experience
Required Education: Bachelor's degree required. Master’s degree preferred.
8+ years of relevant professional experience in analytics, or related disciplines.
6+ years of hands-on experience with modern analytics and reporting tools.
Experience supporting corporate functions stakeholders is a plus.
Compensation & Benefits The starting compensation range is listed for a full-time employee basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. Our benefits include health coverage, wellbeing programs, financial well-being and protection, and work-life benefits such as paid time off and holidays. Specific plan details vary by location and role.
Uniquely Interesting Work, Life-changing Careers: With Transforming patients\' lives through science as our vision, every employee plays an integral role in work that goes beyond ordinary. Our values include passion, innovation, urgency, accountability, inclusion, and integrity.
On-site Protocol: BMS has an occupancy structure that determines where an employee is required to conduct their work, including site-essential, site-by-design, field-based, and remote-by-design roles.
Support for applicants with disabilities: BMS is dedicated to ensuring accessibility in recruitment and ongoing support. Requests for accommodations can be made at any stage of the recruitment process. For accommodations, contact adastaffingsupport@bms.com.
Data Protection: We never request payments or sensitive information during our application process. Learn more about protecting yourself on our site.
If you believe information is missing or inaccurate, please contact BMS Talent Acquisition. Job title and requisition number should be included in inquiries.
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Responsibilities
Serve as a hands-on technical leader across the full analytics stack, architecting end-to-end solutions spanning BI/visualization, data science, and GenAI-powered analytics
Identify, design, and deploy GenAI-driven analytics solutions (e.g., LLM-powered insights, natural language data querying, AI-assisted reporting, agentic workflows) to modernize how enabling functions consume data and insights
Act as a strategic analytics partner to enabling functions (HR, Finance, Compliance, Procurement, Legal, IT, etc.), aligning analytical capabilities to business priorities and measurable outcomes
Translate complex analytical outputs into clear, decision-ready recommendations and executive-level narratives for senior stakeholders
Advance analytics maturity through standardized frameworks, reusable assets, governance best practices, and alignment with enterprise data platform standards
Lead, mentor, and influence across a highly matrixed organization, developing junior analysts and driving cross-functional collaboration while balancing competing priorities
Skills & Competencies
Business partnering & Leadership:
Proven ability to translate complex business problems into scalable analytical solutions with strong executive communication and data storytelling skills
Visualization & Reporting:
Proficiency in Power BI (data modeling, RLS, dashboard design) with strong SQL skills for complex querying and transformation
Data Science & Advanced Analytics:
Hands-on Python and applied experience with data science solutions, statistical analysis, predictive modeling, NLP to deliver real business solutions
GenAI & Modern Analytics:
Working knowledge of building with LLMs and familiarity with agentic workflows and GenAI frameworks
Experience
Required Education: Bachelor's degree required. Master’s degree preferred.
8+ years of relevant professional experience in analytics, or related disciplines.
6+ years of hands-on experience with modern analytics and reporting tools.
Experience supporting corporate functions stakeholders is a plus.
Compensation & Benefits The starting compensation range is listed for a full-time employee basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. Our benefits include health coverage, wellbeing programs, financial well-being and protection, and work-life benefits such as paid time off and holidays. Specific plan details vary by location and role.
Uniquely Interesting Work, Life-changing Careers: With Transforming patients\' lives through science as our vision, every employee plays an integral role in work that goes beyond ordinary. Our values include passion, innovation, urgency, accountability, inclusion, and integrity.
On-site Protocol: BMS has an occupancy structure that determines where an employee is required to conduct their work, including site-essential, site-by-design, field-based, and remote-by-design roles.
Support for applicants with disabilities: BMS is dedicated to ensuring accessibility in recruitment and ongoing support. Requests for accommodations can be made at any stage of the recruitment process. For accommodations, contact adastaffingsupport@bms.com.
Data Protection: We never request payments or sensitive information during our application process. Learn more about protecting yourself on our site.
If you believe information is missing or inaccurate, please contact BMS Talent Acquisition. Job title and requisition number should be included in inquiries.
#J-18808-Ljbffr