Manager - Commercial Analytics & AI Enablement (Sr Data Scientist)

Overview

Lead the team's AI strategy and delivery for commercial analytics at Amgen, partnering with US Commercial and Global Customer Capabilities Innovation teams to apply AI to insight generation and decision-making, and guide Senior Associates and analysts.

What you'll do

• Define and maintain the team's AI roadmap in partnership with Leadership, aligned to US commercial priorities and enterprise AI direction.
• Identify, assess and prioritize cross-portfolio AI use cases based on business value, feasibility, data readiness and risk.
• Translate US business questions into structured AI solution approaches with clear objectives, success criteria and value measures.
• Assess emerging AI technologies, platforms and industry practices, and recommend which to adopt and where.
• Lead end-to-end delivery of AI initiatives from proof of concept to production, guiding Senior Associates and analysts on design, build and execution.
• Shape a reusable AI platform and asset library, including agents, prompt frameworks, code modules and workflow accelerators.
• Work with Information Systems, data engineering and platform teams to connect AI solutions to governed commercial data sources such as claims, specialty pharmacy, CRM and other secondary data.
• Ensure solutions are documented, maintainable and set up for long-term ownership and handover.
• Establish and own the quality framework for AI-enabled analytics, covering validation standards, evaluation methods, human-in-the-loop review and ongoing performance monitoring.
• Ensure AI-generated insights are accurate, reproducible, traceable to source data, and fit for use by senior stakeholders.
• Ensure all AI work complies with Amgen's responsible AI principles, data privacy requirements, and applicable legal, regulatory and compliance SOPs across internal teams and vendor partners.
• Proactively identify and mitigate risks associated with AI solutions, including model reliability, bias and data security.
• Serve as the primary AI partner to US teams across brand analytics, forecasting, and market research.
• Communicate AI strategy, progress and impact to senior stakeholders through concise narratives and visuals.
• Drive AI adoption across the analytics organization through structured enablement programs, playbooks, training and knowledge-sharing forums.
• Define and report metrics for adoption, productivity gains and business impact.
• Build AI capability within the India team by coaching and developing team members and fostering a culture of curiosity, experimentation, accountability, inclusion and continuous improvement.

What you'll need

• Bachelor's degree with 8–13 years, or Master's degree with 6 years, of relevant experience in analytics, data science or sales and marketing operations.
• Proven experience leading the design and delivery of AI, machine learning or advanced analytics solutions into production.
• Strong proficiency in Python, JS, AI development with hands-on experience in generative AI and LLM applications such as prompt engineering, retrieval-augmented generation (RAG), agentic workflows and API integration.
• Working knowledge of cloud data platforms (AWS, Databricks) and visualization tools such as Tableau.
• Exposure to US commercial pharmaceutical secondary data sources and commercial performance measurement frameworks.

Nice to have

• Demonstrated success in driving enterprise adoption of AI or analytics tools across cross-functional, multi-geography teams.
• Experience establishing quality, validation or governance frameworks for AI or analytical outputs.
• Familiarity with enterprise AI platforms, AI coding assistants, MLOps/LLMOps practices and software engineering standards (version control, code review, documentation).
• Ability to assess the strengths, limitations and risks of different AI and analytical approaches and make sound trade-offs.
• Proven ability to influence senior stakeholders and lead cross-functional initiatives without direct authority.
• Experience mentoring or leading analysts and building team capability.
• Exceptional written and verbal communication skills, with the ability to convey complex technical concepts as a compelling, concise narrative for executive audiences.

Details

• Location: Hyderabad, India.