Akaike Technologies

Director, Commercial Analytics & Technical Delivery (Oncology)

Maryland, US
Python SQL Machine Learning AI MLOps
Description

Director, Commercial Analytics & Technical Delivery (Oncology)

Department: Projects & Delivery

Experience: 8+ years

Skills: Machine Learning, Ai

Director, Commercial Analytics & Technical Delivery (Oncology)

Location: Maryland, US (Hybrid/On-site)
Experience: 8 – 20+ Years
Focus: Hands-on Technical Leadership | Large Pharma | Specialty Therapeutics
Eligibility is limited to U.S. citizens or permanent residents with unrestricted work authorization; visa sponsorship is not available.

Role Summary

We are looking for a Director of Commercial Analytics who thrives at the intersection of high-level strategy and hands-on technical execution. Unlike traditional executive roles, this position is centered on day-to-day delivery and software-driven analytics. You will be responsible for the "how" as much as the "what," directly contributing to the development and deployment of analytical tools while managing the technical output of an offshore data science team.
While you will engage with AI and Data Science leads to align on business goals, your primary mission is the successful, hands-on delivery of robust, scalable analytics products for our Oncology and Specialty portfolios.

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.


Why This Role?

This is the ideal position for a seasoned leader who isn't ready to "leave the keyboard." You will have the authority of a Director-level role while remaining the primary architect and driver of the technical solutions that power a world-class Oncology brands.
Akaike Technologies
Akaike Technologies

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