Manager, Value & Access Transformation Initiatives

Amgen; Hyderabad; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Total rewards package

Collaborative culture

Career growth opportunities

Job summary

Amgen seeks a senior Manager – V&A Transformation Initiatives to lead data science projects, deploying ML and analytics to support US Value & Access initiatives. You will guide a small team and partner with global stakeholders in India to turn data into actionable insights.

The role requires deep knowledge of ML methods, NLP, and data engineering, with strong collaboration and communication skills to drive impactful outcomes.

Qualifications

• 8-13 years post degree in CS, statistics or STEM with at least 4 years IS experience.
• Strong foundation in ML, statistics, and data analytics.
• Experience with Python/R and modern ML libraries.

Responsibilities

• Lead end-to-end data science projects and mentor 2-4 associates.
• Develop ML/analytic solutions to optimize Copay and access processes.
• Collaborate with global teams to translate business needs into technical specs.
• Apply MLOps practices for model development, deployment and monitoring.
• Build AI-driven dashboards and automated workflows for decision making.

Skills

Python

R

Machine Learning

Statistics

NLP

Education

Bachelor's degree in CS/Statistics/STEM

Tools

MLflow

Docker

Kubernetes

AWS/Azure/Google Cloud

Job description

Career Category Value and Access Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. 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 collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team.

What You Will Do

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, including 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 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.

Roles & Responsibilities

• 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.
• Manage AI tool’s road map, working with a global cross functional team.
• 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.
• Model/analytics experiment and development pipeline leveraging MLOps.
• 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.
• Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision‑making and efficiency.

What We Expect of You

Basic Qualifications

• 8-13 years post degree in computer science, statistics or STEM majors with a minimum of 4 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.

Preferred Qualifications

• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
• Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD).
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Outstanding analytical and problem‑solving skills; Ability to learn quickly; Excellent communication and interpersonal skills.
• 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.

Professional Certifications

• Any AWS Developer certification (preferred).
• Any Python and ML certification (preferred).

Soft Skills

• Initiative to explore alternate technology and approaches to solving problems.
• Skilled in breaking down problems, documenting problem statements, and estimating efforts.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self‑motivation.
• Ability to manage multiple priorities successfully.
• Team‑oriented, with a focus on achieving team goals.

What you can expect of us

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. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Amgen is committed to unlocking the potential of biology for patients…

This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

For more information, visit www.amgen.com and follow us on www.twitter.com/amgen