Manager, V&A; Transformation Initiatives

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is cooperative, innovative, and science based. As Manager – V&A; Transformation Initiatives, you will be at the forefront of solving the US Value & Access team's biggest challenges using cutting edge technology. The AIN Transformation team will be viewed as an 'innovation engine', constantly testing and refining analytics solutions to address customer needs and opportunities alongside business partners.

In your role as a manager, you'll be expected to combine a deep understanding of access data and analytics with experience in developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Together with 2-4 associates you lead, you will be responsible for building and testing solutions for targeted business challenges. This will include application of advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets.

The ideal candidate for this position will understand the business challenges that US Value & Access teams face and will have with a track record of success in applying that knowledge to build, deploy, and refine high impact advanced analytics tools.





This role will report to the Senior Manager, V&A; Transformation Initiatives and will work in close collaboration with leaders of the Strategy & Innovation Team in the United States Access Analytics & Insights organization in India.

Accountable to drive full lifecycle of data science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions

Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay

Ensure models are trained with the latest data and meet the SLA expectations

Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.

Perform exploratory and targeted data analyses using descriptive statistics and other methods.

Oversee efforts of 2-4 associates, including setting performance standards, managing their staffing, and monitoring performance

Collaborate with technical teams to translate the business needs into technical specifications,



particularly focusing on AI-driven automation and insights.

Master's degree in computer science, statistics or STEM majors with a minimum of 6 years of Information Systems experience OR

Bachelor's degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience.

Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings and other standard data sets including claims, prescription, EMR

Experience with one or more analytic software tools or languages like R and Python

Strong foundation in machine learning algorithms and techniques

Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Experience in MLOps practices and tools (e.g., Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)

Proficiency in Python and relevant ML libraries (e.g., Experience with data engineering and pipeline development

Knowledge of NLP techniques for text analysis and sentiment analysis

Experience in analyzing time-series data for forecasting and trend analysis

Experience with AWS, Azure, or Google Cloud

Experience with Databricks platform for data analytics and MLOps

Any AWS Developer certification (preferred)

Any Python and ML certification (preferred)

Ability to work effectively with global, virtual teams

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

📌 Oncology Business Transformation Manager (Secunderabad)
🏢 AMGEN
📍 Secunderabad