Senior Manager, Enabling Functions Analytics
Bristol Myers Squibb
2 months ago
Remote friendly (Princeton, NJ)
United States
IT
Key Responsibilities:
- Lead cross-BU analytics initiatives focused on workflow optimization, reporting enhancements, and insight generation.
- Develop dashboards, KPIs, and reporting assets aligned to enterprise standards.
- Manage project intake, prioritization, and alignment across internal teams and stakeholders.
- Prepare executive-level summaries highlighting insights, risks, gaps, and recommendations.
- Advance analytics maturity through standardization, scalable frameworks, and best practices.
- Support parallel workstreams during peak cycles and provide mentorship to junior analysts as needed.
- Identify and pilot AI-enabled analytics opportunities (e.g., automation, text analytics, GenAI-driven insights) to improve efficiency and insight generation.
- Partner with enterprise analytics and data teams to align advanced analytics efforts with enterprise standards and roadmaps.
Skills and Competencies:
- Design and deliver scalable analytics solutions using Power BI, SQL, and cloud-based data platforms.
- Experience supporting analytics in corporate functions (HR, Law, Risk, Audit, etc.).
- Exposure to AI-enabled analytics (NLP, GenAI-driven insights, or automation).
- Python skills for analytical applications (e.g., Streamlit, Plotly).
- Exposure to AWS data and automation services (e.g., Glue).
- Ability to translate business problems into structured analytical solutions.
- Strong communication, prioritization, and stakeholder management skills.
- Experience producing executive-facing deliverables in a cross-functional environment.
Experience:
- Required: Bachelor’s degree.
- Preferred: Master’s degree.
- Minimum 7 years’ relevant professional experience in analytics, reporting, operations, or related disciplines.
- 5+ years’ hands-on experience with modern analytics and reporting tools.
Benefits:
- Health coverage (medical, pharmacy, dental, vision).
- Wellbeing support programs (e.g., BMS Well-Being Account, BMS Living Life Better, EAP).
- Financial well-being/protection (401(k), short- and long-term disability, life/accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support).
- Paid time off: flexible time off (unlimited with manager approval) for US Exempt employees; 160 hours annual paid vacation (new hires, with manager approval) plus 11 national holidays and 3 optional holidays for Phoenix, AZ/Puerto Rico/Rayzebio employees.
- Additional time off may include unlimited paid sick time, up to 2 paid volunteer days/year, summer hours flexibility, leaves of absence, and annual Global Shutdown between Christmas and New Year’s Day (eligibility applies).
Compensation:
- Princeton, NJ, US: $133,710 - $162,019 (starting range; additional incentive cash/stock may be available).
Application instructions:
- If you require a reasonable workplace accommodation/adjustment, contact adastaffingsupport@bms.com prior to accepting a job offer.
- Lead cross-BU analytics initiatives focused on workflow optimization, reporting enhancements, and insight generation.
- Develop dashboards, KPIs, and reporting assets aligned to enterprise standards.
- Manage project intake, prioritization, and alignment across internal teams and stakeholders.
- Prepare executive-level summaries highlighting insights, risks, gaps, and recommendations.
- Advance analytics maturity through standardization, scalable frameworks, and best practices.
- Support parallel workstreams during peak cycles and provide mentorship to junior analysts as needed.
- Identify and pilot AI-enabled analytics opportunities (e.g., automation, text analytics, GenAI-driven insights) to improve efficiency and insight generation.
- Partner with enterprise analytics and data teams to align advanced analytics efforts with enterprise standards and roadmaps.
Skills and Competencies:
- Design and deliver scalable analytics solutions using Power BI, SQL, and cloud-based data platforms.
- Experience supporting analytics in corporate functions (HR, Law, Risk, Audit, etc.).
- Exposure to AI-enabled analytics (NLP, GenAI-driven insights, or automation).
- Python skills for analytical applications (e.g., Streamlit, Plotly).
- Exposure to AWS data and automation services (e.g., Glue).
- Ability to translate business problems into structured analytical solutions.
- Strong communication, prioritization, and stakeholder management skills.
- Experience producing executive-facing deliverables in a cross-functional environment.
Experience:
- Required: Bachelor’s degree.
- Preferred: Master’s degree.
- Minimum 7 years’ relevant professional experience in analytics, reporting, operations, or related disciplines.
- 5+ years’ hands-on experience with modern analytics and reporting tools.
Benefits:
- Health coverage (medical, pharmacy, dental, vision).
- Wellbeing support programs (e.g., BMS Well-Being Account, BMS Living Life Better, EAP).
- Financial well-being/protection (401(k), short- and long-term disability, life/accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support).
- Paid time off: flexible time off (unlimited with manager approval) for US Exempt employees; 160 hours annual paid vacation (new hires, with manager approval) plus 11 national holidays and 3 optional holidays for Phoenix, AZ/Puerto Rico/Rayzebio employees.
- Additional time off may include unlimited paid sick time, up to 2 paid volunteer days/year, summer hours flexibility, leaves of absence, and annual Global Shutdown between Christmas and New Year’s Day (eligibility applies).
Compensation:
- Princeton, NJ, US: $133,710 - $162,019 (starting range; additional incentive cash/stock may be available).
Application instructions:
- If you require a reasonable workplace accommodation/adjustment, contact adastaffingsupport@bms.com prior to accepting a job offer.