Accelerating the execution of our priority clinical trials is an imperative and a critical enabler of our Drug Development strategy to launch 10 new treatments in 30 new indications by 2030. At the center of our acceleration efforts is methodology and ability to assemble wide-ranging data - structured, tactical and ad hoc - into timely insights which then support precision actions.
The Executive Director, Trial Analytics , Insights and Planning (TAIP) is accountable for driving end-to-end analytics excellence within Global Development Operations (GDO) and is a key function within the Trial Delivery Support team. In this steady-state model, the Executive Director ensures that the Trial Analytics function delivers actionable insights , innovative analytic solutions , and continuous performance improvements that accelerate clinical trials across the full development lifecycle, forecast timeline expectations, manage changing landscapes to optimize resource use, and ultimately bring life-changing therapies to patients faster .
This leader oversees a global team of analytics professionals who partner closely within GDO and across Supply, Clinical, Medical, IT and other cross-functional teams and stakeholders. The successful candidate brings deep expertise in data analytics, innovative thinking, collaborative leadership skills , with a flexible, agile and consultative mindset, and hands-on operational experience in clinical development.
Analytics Strategy & Planning
Develop & Maintain Analytics Roadmap : Continuously refine a multi-year analytics strategy that aligns with overall GDO priorities (e.g., feasibility modeling, site selection, predictive enrollment).
Develop and maintain critical insights that guide us throughout the study lifecycle and span the phases of protocol optimization, timeline forecasting, to ensure faster study startup, patient enrollment and data capture and validation.
Service Model Execution : Ensure the right mix of detailed support, end to end ownership, and insights that help drive acceleration in our priority studies whilst building and maintaining an enabled 'self service approach to analytics and forecasted timeline to support standard trials
Assessment Planning : provides a multi-faceted evaluation of protocols within a flexible time frame that empowers teams to make informed decisions around cost and burden implications of protocol design
Thinks strategically and provides capabilities and analytics to enable informed decisions across the whole study lifecycle
Operational Excellence
Day-to-Day Operations : Oversee the integrated analytics processes, from data sourcing and modeling to final reporting, ensuring timeliness, accuracy, and user satisfaction.
SOP & Governance Adherence : Implement and monitor Standard Operating Procedures (SOPs), data governance frameworks, and compliance protocols related to analytics and data use.
Continuous Improvement : Regularly evaluate the performance of analytics solutions; identify inefficiencies and lead improvements that positively impact trial execution and productivity.
People Leadership
Building and deploying a cross-trained, adaptable analytics team capable of pivoting across TAs and functional capabilities in response to evolving study demands
Global Team Management : Lead a diverse group (~40 FTE) of analysts, data scientists, and clinical domain experts globally.
Talent Development : Foster a flexible, agile and collaborative, high-performance culture by setting clear objectives, providing mentorship, and supporting continuous upskilling in analytics methods and consultative capabilities.
Succession & Growth : Identify critical roles and high-potential talent; develop a pipeline of future leaders within the analytics function.
Advanced Analytics & Innovation
Cutting-Edge Tools & Methods : Encourage adoption of advance analytics tools such as predictive modeling, AI/ML, real-world data insights, and scenario planning where relevant to GDO and organization needs. Partnering with the technology team in (BI&T) which builds the technology and data foundation to support TAIP.
Metrics & Measurement : Oversee the creation of dashboards and performance metrics (e.g., time-to-site activation, predictive accuracy), ensuring decisions are data-driven and results-oriented. Ensuring that dashboards are delivering recommendations and not only data and working with the technology team (BI&T) to automate routine actions.
Thought Leadership : Track industry trends and emerging analytics capabilities; propose pilots or new methods that keep the organization at the forefront of clinical trial innovation with a consultative mindset and approach
Cross-Functional Collaboration
Key Stakeholder Engagement : Serve as a primary interface for GDO leaders, study teams, and other business partners, translating analytics outputs into actionable recommendations.
Governance & Decision Support : Participate in governance forums (e.g., stage-gate or leadership reviews), offering data-driven guidance and highlighting risks and opportunities.
External Partnerships : Where applicable, manage relationships with CROs, data vendors, or consultants, ensuring consistent standards and delivering high-value analytics.
Financial & Resource Management
Budget Stewardship : Manage the analytics budget, including software investments, training costs, and potential vendor or consulting engagements.
Capacity & Prioritization : Coordinate resource allocation, ensuring critical programs receive adequate analytics support while maintaining overall portfolio balance.
Bachelors degree in a quantitative or scientific discipline (e.g., Statistics, Operations Research, Life Sciences) required.
Advanced degree (MBA, MSc, PhD) strongly preferred.
12+ years in data analytics or similar roles, with a proven track record in the pharmaceutical/biotech or clinical development context.
Demonstrated operational leadership of multi-site analytics teams, ideally including off-shore or remote resources.
Background in advanced analytics (e.g., forecasting, modeling, AI/ML) and strong understanding of clinical trial processes (feasibility, site selection, patient enrollment).
Consulting background is a plus.
Collaborative Leader : Skilled at driving cross-functional partnerships and cultivating a one team environment.
Strategic & Pragmatic : Balances innovative thinking with practical solutions that yield measurable business outcomes.
Results Orientation : Strong focus on data quality, timely delivery, and clear stakeholder communication.
Communication & Influence : Excellent written and verbal skills; comfortable presenting complex analytical insights to senior leadership.
Sustained Analytics Impact : Consistently deliver high-quality, actionable data insights that shorten trial timelines and improve decision-making across the portfolio.
High-Performing Team : Maintain strong staff engagement, low turnover, and a recognized culture of innovation and continuous learning.
Operational Efficiency : Achieve or exceed service-level expectations through well-structured processes, predictable lead times, and robust SOP adherence.
Continuous Innovation : Stay ahead of industry trends and internalize effective new methodologies and advanced tools, ensuring the analytics function remains a true competitive advantage for BMS.
Based in New Jersey with a hybrid schedule
Occasional travel (1015%) to other BMS sites, conferences, or partner locations (including Hyderabad).
#li-hybrid
Accelerating the execution of our priority clinical trials is an imperative and a critical enabler of our Drug Development strategy to launch 10 new treatments in 30 new indications by 2030. At the center of our acceleration efforts is methodology and ability to assemble wide-ranging data - structured, tactical and ad hoc - into timely insights which then support precision actions.
The Executive Director, Trial Analytics , Insights and Planning (TAIP) is accountable for driving end-to-end analytics excellence within Global Development Operations (GDO) and is a key function within the Trial Delivery Support team. In this steady-state model, the Executive Director ensures that the Trial Analytics function delivers actionable insights , innovative analytic solutions , and continuous performance improvements that accelerate clinical trials across the full development lifecycle, forecast timeline expectations, manage changing landscapes to optimize resource use, and ultimately bring life-changing therapies to patients faster .
This leader oversees a global team of analytics professionals who partner closely within GDO and across Supply, Clinical, Medical, IT and other cross-functional teams and stakeholders. The successful candidate brings deep expertise in data analytics, innovative thinking, collaborative leadership skills , with a flexible, agile and consultative mindset, and hands-on operational experience in clinical development.
Analytics Strategy & Planning
Develop & Maintain Analytics Roadmap : Continuously refine a multi-year analytics strategy that aligns with overall GDO priorities (e.g., feasibility modeling, site selection, predictive enrollment).
Develop and maintain critical insights that guide us throughout the study lifecycle and span the phases of protocol optimization, timeline forecasting, to ensure faster study startup, patient enrollment and data capture and validation.
Service Model Execution : Ensure the right mix of detailed support, end to end ownership, and insights that help drive acceleration in our priority studies whilst building and maintaining an enabled 'self service approach to analytics and forecasted timeline to support standard trials
Assessment Planning : provides a multi-faceted evaluation of protocols within a flexible time frame that empowers teams to make informed decisions around cost and burden implications of protocol design
Thinks strategically and provides capabilities and analytics to enable informed decisions across the whole study lifecycle
Operational Excellence
Day-to-Day Operations : Oversee the integrated analytics processes, from data sourcing and modeling to final reporting, ensuring timeliness, accuracy, and user satisfaction.
SOP & Governance Adherence : Implement and monitor Standard Operating Procedures (SOPs), data governance frameworks, and compliance protocols related to analytics and data use.
Continuous Improvement : Regularly evaluate the performance of analytics solutions; identify inefficiencies and lead improvements that positively impact trial execution and productivity.
People Leadership
Building and deploying a cross-trained, adaptable analytics team capable of pivoting across TAs and functional capabilities in response to evolving study demands
Global Team Management : Lead a diverse group (~40 FTE) of analysts, data scientists, and clinical domain experts globally.
Talent Development : Foster a flexible, agile and collaborative, high-performance culture by setting clear objectives, providing mentorship, and supporting continuous upskilling in analytics methods and consultative capabilities.
Succession & Growth : Identify critical roles and high-potential talent; develop a pipeline of future leaders within the analytics function.
Advanced Analytics & Innovation
Cutting-Edge Tools & Methods : Encourage adoption of advance analytics tools such as predictive modeling, AI/ML, real-world data insights, and scenario planning where relevant to GDO and organization needs. Partnering with the technology team in (BI&T) which builds the technology and data foundation to support TAIP.
Metrics & Measurement : Oversee the creation of dashboards and performance metrics (e.g., time-to-site activation, predictive accuracy), ensuring decisions are data-driven and results-oriented. Ensuring that dashboards are delivering recommendations and not only data and working with the technology team (BI&T) to automate routine actions.
Thought Leadership : Track industry trends and emerging analytics capabilities; propose pilots or new methods that keep the organization at the forefront of clinical trial innovation with a consultative mindset and approach
Cross-Functional Collaboration
Key Stakeholder Engagement : Serve as a primary interface for GDO leaders, study teams, and other business partners, translating analytics outputs into actionable recommendations.
Governance & Decision Support : Participate in governance forums (e.g., stage-gate or leadership reviews), offering data-driven guidance and highlighting risks and opportunities.
External Partnerships : Where applicable, manage relationships with CROs, data vendors, or consultants, ensuring consistent standards and delivering high-value analytics.
Financial & Resource Management
Budget Stewardship : Manage the analytics budget, including software investments, training costs, and potential vendor or consulting engagements.
Capacity & Prioritization : Coordinate resource allocation, ensuring critical programs receive adequate analytics support while maintaining overall portfolio balance.
Bachelors degree in a quantitative or scientific discipline (e.g., Statistics, Operations Research, Life Sciences) required.
Advanced degree (MBA, MSc, PhD) strongly preferred.
12+ years in data analytics or similar roles, with a proven track record in the pharmaceutical/biotech or clinical development context.
Demonstrated operational leadership of multi-site analytics teams, ideally including off-shore or remote resources.
Background in advanced analytics (e.g., forecasting, modeling, AI/ML) and strong understanding of clinical trial processes (feasibility, site selection, patient enrollment).
Consulting background is a plus.
Collaborative Leader : Skilled at driving cross-functional partnerships and cultivating a one team environment.
Strategic & Pragmatic : Balances innovative thinking with practical solutions that yield measurable business outcomes.
Results Orientation : Strong focus on data quality, timely delivery, and clear stakeholder communication.
Communication & Influence : Excellent written and verbal skills; comfortable presenting complex analytical insights to senior leadership.
Sustained Analytics Impact : Consistently deliver high-quality, actionable data insights that shorten trial timelines and improve decision-making across the portfolio.
High-Performing Team : Maintain strong staff engagement, low turnover, and a recognized culture of innovation and continuous learning.
Operational Efficiency : Achieve or exceed service-level expectations through well-structured processes, predictable lead times, and robust SOP adherence.
Continuous Innovation : Stay ahead of industry trends and internalize effective new methodologies and advanced tools, ensuring the analytics function remains a true competitive advantage for BMS.
Based in New Jersey with a hybrid schedule
Occasional travel (1015%) to other BMS sites, conferences, or partner locations (including Hyderabad).
#li-hybrid
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