Sr. Director, TA Lead - Trial Analytics, Insights, and Planning (TAIP)
Bristol-Myers Squibb
- Location
- Princeton NJ, US
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 57 approvals (FY2023)
- Posted
- 1h ago
About this role
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
Position
Summary The TAIP TA Lead is a senior leadership role reporting directly to the Head of the TAIP unit within Bristol Myers Squibb’s Trial Analytics, Insights, and Planning (TAIP) organization—an internal consulting team that drives clinical development excellence through data-driven insights, feasibility modelling, and strategic trial planning. As the analytics lead for the Oncology therapeutic area (TA), you will be accountable for the end-to-end analytics strategy and execution across a global portfolio of clinical trials within that TA—supporting trial-level planning, overseeing delivery performance, and leading a team of analytics professionals across multiple levels and geographies. This role will have direct reports across different levels of seniority, and the incumbent will provide day-to-day direction, coaching, and performance management. You will serve as a strategic thought partner to TA medical, clinical, and operational leadership, influencing decisions that directly impact trial timelines, cost, and quality. You will be responsible for providing hands-on support, and quality control across studies while coaching study-level analytics leads and coordinating cross-trial priorities. You will act as a sounding board and escalation point for delivery-focused team members and serve as a trusted partner to TA medical, clinical, and operational leadership. This role requires a strong foundation in both clinical trial science and applied analytics across site feasibility, enrollment modeling, scenario exploration, along with the ability to translate insights into strategies that directly impact trial timelines and operational delivery outcomes. You will play a key role in evolving TAIP capabilities, ensuring consistency across analytic methodology, fostering innovation, and driving measurable business impact.
Key Responsibilities
Manage a team of analysts, including accountability for performance management, career development, and day-to-day support Lead the analytics strategy and execution across a global portfolio of oncology trials Guide, support, and review work across study-level analytics leads, acting as both coach and strategic sounding board Track delivery progress across trials, escalating risks and ensuring alignment with trial milestones and enterprise priorities Serve as a strategic advisor to TA leadership, shaping trial strategy, feasibility, and portfolio-level planning through data-driven insights Ensure cross-trial consistency and innovation in forecasting, feasibility modelling, performance dashboards, and protocol analytics Promote global collaboration, coordinating across teams to ensure effective, scalable delivery Lead discussions on cost implications of country mix and study design decisions at the portfolio level Promote study optimization analytics across trials, including evaluation of patient and site burden and competitive landscape data Coordinate field-based insights into TA-wide feasibility and site prioritization approaches Champion use of platforms, tools, and data