This role involves integrating advanced analytics, AI, and digital technologies into Technical Operations to drive enterprise-wide transformation. The position requires translating strategic vision into value-creating roadmaps for AI, Data Science, and digital initiatives. Responsibilities include defining and executing AI strategies, managing data governance, and orchestrating transformation programs across the organization. The individual will represent Technical Operations on the Data Science Council and lead cross-functional collaboration to ensure operational excellence. Additionally, the role focuses on change leadership, evaluating operating models, and staying informed on emerging technologies to maintain a competitive advantage.

Candidates must possess a Bachelor's degree with twelve years of experience, a Master's degree with ten years of experience, or a PhD with eight years of experience. Required qualifications include a proven track record of achieving strategic objectives through leadership and influence. Preferred candidates have experience in biopharma product commercialization, lifecycle management, and leading digital transformation in regulated environments. Expertise in AI/ML platforms, data architecture, and change management is highly valued.