CDNA_Sr Manager - Investment and Media Analytics TA Lead

nd data-driven recommendations that directly inform brand, access, and omnichannel strategies.

Responsibilities

• Lead the end-to-end delivery of advanced analytics and modeling solutions-including predictive models, patient analytics, alert systems, measurement frameworks, and experimentation design-for assigned therapeutic areas.
• Partner with investment and media analytics teams to align analytical priorities with brand strategies, business needs, and launch goals.
• Integrate analytics from multiple domains into cohesive insights that support both strategic and tactical decision making.
• Ensure alignment of methodologies, model documentation, and insight narratives with CD&A standards for quality, reproducibility, and transparency.
• Collaborate with engineering and capability teams to operationalize models, establish performance monitoring, and ensure scalability of analytic solutions.
• Translate technical model outputs into actionable business stories for U.S. stakeholders, influencing data-driven brand decisions.
• Mentor L5 and L4 data scientists working on TA-aligned projects; ensure effective prioritization, delivery governance, and performance management.
• Act as the analytics ambassador for your TA-representing Amgen India's Marketing Investment and Optimization (MIO) capability in business planning discussions, Quarterly Business Reviews, and enterprise forums.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
Basic Qualifications

• Educational background in Data Science, Statistics, Engineering, Economics, or related quantitative field.
• 12-17 Years of total exp and 7-10 years of experience in advanced analytics, data science, or commercial effectiveness with exposure to pharmaceutical or life sciences domains.
• Strong understanding of how brand investment decisions are made, deployed, and measured within commercial pharma.
• Demonstrated ability to communicate technical insights in clear, actionable business language to senior non-technical audiences.
• Proficiency in Python, SQL, and Databricks.
• Experience managing analytics delivery teams and coordinating with global counterparts on timelines, expectations, and deliverables.

Preferred Qualifications

• Experience with pharma media and investment analytics and brand measurement frameworks.

• Familiarity with media and omnichannel measurement, marketing mix modeling, or field force optimization analytics.

• Experience working in a global matrixed environment supporting commercial and medical stakeholders.

• Excellent interpersonal skills with a strong bias toward structured storytelling and collaborative problem solving.

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