Senior Manager - Data Sciences & AI

Amgen Inc. (IR); Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Amgen India is seeking a Senior Manager - Data Sciences & AI to lead a new team responsible for building scalable AI-enabled solutions for global supply chain processes.

You will guide data scientists, product owners, and engineers, ensure governance, and deliver secure, compliant, end-to-end data platforms that support clinical and commercial operations.

Qualifications

• Experience in pharma, biotechnology, life sciences, or GxP environments.
• Strong understanding of supply chain processes.
• Experience leading software/AI/data engineering and delivery teams.
• Experience in product/platform/data environments.
• Translates business needs into scalable, secure technology solutions.
• Experience operating in Agile delivery environments with multiple priorities.
• End-to-end software delivery from concept through production support.
• Ability to assess tech options, balance value, cost, risk, compliance and debt.

Responsibilities

• People leadership and performance management.
• Technical leadership and cross-functional delivery across teams.
• Product ownership and client success on scalable solutions.
• Data science and data engineering fluency and governance.
• AI engineering delivery including platform integration and guardrails.
• Prototype, review designs, and unblock teams with hands-on credibility.
• Delivery management balancing priorities, risk, and scalability.
• Ensure security, reliability, and regulatory compliance for solutions.

Skills

Pharma domain

Supply chain knowledge

Lead data/AI teams

Product/platform data experience

Agile delivery

End-to-end software delivery

Tech tradeoffs evaluation

Job description

Career Category Supply Chain Job Description

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

ABOUT THE ROLE Role Description Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients - powered by data, innovation, and enterprise-wide collaboration. As part of our team expansion at Amgen India (AIN), GSC is seeking a Senior Manager - Data Sciences & Artificial Intelligence to lead a team of data scientists responsible for building scalable digital, data, and AI-enabled solutions for clinical and commercial supply chain processes. This multi-faceted team leader will build and establish a new group within AIN that combines people leadership, product ownership, client success, data science, supply chain modelling and AI engineering. This role will be accountable for shaping a high-performing local team while also driving the delivery of high-impact digital capabilities for Global Supply Chain. This is a unique opportunity to help build a new footprint at AIN from the ground up and strengthen an industry leading capability with a track record in the digital transformation space at the intersection of supply chain management, data, modeling, and artificial intelligence.

Roles & Responsibilities

• People leadership and line management: coaching, performance management, hiring input, workload prioritization, team health, and talent development.
• Technical leadership and cross-functional delivery: Guide data scientists, product owners, business partners, architecture teams, AI platform teams, data teams, and stakeholders through delivery decisions, dependencies, and tradeoffs.
• Product ownership, domain translation, and client success: Partner with subject‑matter experts, business stakeholders, and technical teams to translate supply chain needs into scalable product solutions that deliver measurable outcomes.
• Data science and data engineering fluency: applying core principles of artificial intelligence, machine learning, data modeling, data quality, metadata, data lineage, and data pipelines to define solutions to complex problems.
• AI engineering and application delivery: building, integrating, evaluating, and operationalizing AI/ML capabilities, including context engineering, agents/workflows, evaluations, guardrails, and human‑centric designs.
• Learning agility and hands‑on technical credibility: demonstrating leading‑edge understanding of AI, semantic technologies, and product practices while retaining enough technical depth to prototype, review designs, challenge assumptions, and unblock teams.
• Pragmatic prioritization and delivery management: balancing business needs, technical debt, delivery capacity, risk, speed, dependencies, stakeholder expectations, and long‑term scalability across multiple projects.
• Enterprise architecture, quality, and compliance leadership: ensuring solutions are secure, reliable, maintainable, well‑documented, and aligned with enterprise architecture, operational standards, cybersecurity, data privacy, model governance, GxP, HIPAA, and other applicable life sciences compliance expectations.
• Innovation and engineering culture: fostering a culture of innovation, accountability, inclusion, continuous learning, technical curiosity, rapid prototyping, platform‑first thinking, and high‑quality delivery.

Functional Skills Must‑Have Skills

• Experience in pharma, biotechnology, life sciences, regulated manufacturing, or GxP‑compliant technology environments with quality, compliance, data privacy, security, and documentation expectations.
• Strong understanding of supply chain processes.
• Demonstrated experience leading software engineering, AI engineering, data engineering, analytics, or technical delivery teams.
• Experience operating in product, platform, data, analytics, or enterprise application environments.
• Ability to translate business needs into scalable, secure, maintainable, and compliant technology solutions.
• Experience operating in Agile delivery environments and managing multiple priorities, projects, and stakeholder groups.
• Experience supporting end‑to‑end software delivery from concept through production stabilization and ongoing support.
• Ability to assess technology options, understand tradeoffs, and make sound recommendations based on business value, cost, risk, compliance, technical debt, delivery capacity, and long‑term impact.

. Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. 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