CDNA_Sr Manager - Investment and Media Analytics TA Lead

Amgen Technology; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amgen India is seeking a TA Lead within the Decision Sciences team to own marketing analytics delivery for assigned therapeutic areas. You will collaborate with U.S.-based teams to provide data-driven insights informing brand, access, and omnichannel strategies.

Responsibilities include leading end-to-end analytics, translating outputs into business narratives, and mentoring junior data scientists while ensuring scalable, high-quality solutions.

Qualifications

• 12-17 years total experience in analytics or related fields.
• 7-10 years in advanced analytics, data science, or commercial effectiveness, with pharma exposure.
• Strong understanding of how brand investment decisions are made, deployed, and measured.

Responsibilities

• Lead end-to-end delivery of analytics and modeling solutions for assigned TA(s).
• Partner with investment and media analytics teams to align analytical priorities with brand strategies.
• Integrate analytics from multiple domains into cohesive insights for strategic and tactical decisions.
• Ensure methodologies, model documentation, and insight narratives meet CDA quality standards.
• Collaborate with engineering and capability teams to operationalize models and monitor performance.
• Translate model outputs into actionable business stories for senior stakeholders.
• Mentor L5 and L4 data scientists and ensure governance and delivery efficiency.
• Represent Amgen India's MIO capability in planning discussions and reviews.

Skills

Advanced analytics

Data science

Commercial effectiveness

Education

Masters in Data Science

Tools

Databricks

Python

SQL

Job description

HOW MIGHT YOU DEFY IMAGINATION

Live | What you will do

As a Therapeutic Area (TA) Lead within the Decision Sciences team at CDA India, you will serve as the single point of accountability for all marketing analytics delivery for your assigned TA(s). You will partner closely with U.S.-based CDA investment and media teams to deliver actionable insights and data-driven recommendations that directly inform brand, access, and omnichannel strategies.

Responsibilities

• Lead the end-to-end delivery of advanced analytics and modeling solutionsincluding predictive models, patient analytics, alert systems, measurement frameworks, and experimentation designfor 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 CDA 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 TArepresenting Amgen Indias 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 710 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.