Director, Commercial Analytics & Technical Delivery (Oncology)
Department: Projects & Delivery
Experience: 8+ years
Skills: Machine Learning, Ai
Director, Commercial Analytics & Technical Delivery (Oncology)
Role Summary
Key Responsibilities
- Hands-on Technical Delivery: Actively contribute to the codebase, model development, and software architecture. You are expected to be "in the weeds" of daily technical tasks to ensure project milestones are met.
- Operational Execution: Lead the day-to-day workstreams of an offshore data science team. You will handle technical specifications, code reviews, and troubleshooting to ensure timely, high-quality delivery.
- Workstream Prioritization: Evaluate and rank use-cases based on technical feasibility and business impact, ensuring the team is focused on high-value outputs across Sales, Marketing, and Market Access.
- AI & Machine Learning Implementation: Translate Generative AI and ML concepts into functional commercial tools. You will lead the practical application of these technologies within the Oncology domain.
- Tactical Business Engagement: Part of the role is to partner with leads in DS and AI to translate business requirements into technical roadmaps and demonstrate the value of analytics products to brand stakeholders.
- Team Mentorship: Build and groom a technical team, focusing on enhancing their software engineering practices and pharma domain expertise.
Qualifications & Technical Skills
- Proven Technical Track Record: 8 to 20+ years of experience in Pharma Commercial Analytics, with a consistent history of hands-on delivery in a Large Pharma environment.
- Oncology Expertise: Deep understanding of the specialty drug landscape, including patient longitudinal data, specialty pharmacy feeds, and the nuances of the Oncology market.
- Advanced Technical Stack: Expert-level proficiency in Python, SQL. Demonstrated experience building and deploying ML models and GenAI applications with agentic pipelines.
- Software Mindset: Strong grasp of software development lifecycles (SDLC), data engineering, and MLOps—you view analytics through the lens of a scalable product.
- Delivery-Focused Leadership: Experience managing offshore delivery models where you are responsible for the technical integrity of the final output.
- Storytelling through Data: The ability to take complex technical work and present it as a clear, actionable story for business leads.
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