Career Category

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Job Description

L7A role -

Neural Nexus – Director, Data & AI Enablement (AuRA)Location: Hyderabad, India

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. Join us and transform the lives of patients while transforming your career.

What You Will Do

Let’s do this. Let’s change the world.

In this critical leadership role within Neural Nexus – AI Data Enablement (AuRA), you will own the strategy, execution, and scaling of AI-enabled data foundations and data products that power Amgen’s Commercial and Analytics ecosystem.

You will be accountable not only for platform and delivery outcomes, but also for building and leading a high-performing, globally distributed team, ensuring strong execution rigor, data governance, and measurable business impact.

Key Responsibilities

1.

Strategic Leadership & Au

RA Roadmap Ownership:

• Define and own the strategic roadmap for AuRA data enablement, aligned to Neural Nexus and enterprise data strategy.
• Translate business priorities into scalable platform capabilities and multi-year execution plans.
• Drive prioritization across initiatives, balancing speed, governance, scalability, and business impact.

2.

End-to-End Ownership of Data & AI Enablement Programs:

• Own delivery of multiple, complex AuRA programs and workstreams, ensuring execution across design, build, deployment, and adoption.
• Establish strong execution discipline with clear ownership of scope, timelines, risks, and dependencies.
• Drive operational rigor through standardized delivery frameworks, metrics, and governance models.

3.

Enterprise Data Platform & AI Readiness:

• Lead the evolution of AuRA into a scalable, enterprise-grade AI-ready data platform.
• Define standards for data integration, modeling, metadata, and reusable data products.
• Ensure platform reliability, scalability, and performance across enterprise use cases.

4. Data Governance, Stewardship & Compliance Leadership

• Establish and embed data governance and stewardship practices across AuRA initiatives.
• Ensure adherence to FAIR principles and Clean Core strategy while maintaining delivery velocity.
• Drive accountability for data ownership, lineage, quality, and lifecycle management.

5.

High-Performance Team Leadership & Talent Development:

• Build and lead a high-performing, cross-functional team across data engineering, analytics, and program management.
• Define clear roles, responsibilities, and performance expectations aligned to business outcomes.
• Foster a culture of ownership, accountability, and execution excellence.
• Coach and mentor leaders and team members, supporting career growth and capability development.
• Drive performance management, including goal setting, feedback, and recognition.
• Establish scalable team structures and operating models to support growing demand and complexity.

6.

Cross-Functional Leadership & Enterprise Influence:

• Partner with Commercial, CD&A, Analytics, Technology, AI&D, and Engineering teams to align on priorities and execution.
• Influence senior stakeholders to drive alignment on data strategy, investments, and delivery outcomes.
• Enable effective collaboration across global, matrixed teams.

7. Adoption, Value Realization & Business Impact

• Define and track KPIs for platform adoption, data usage, and business impact.
• Ensure data products are discoverable, trusted, and reusable.
• Drive measurable improvements in efficiency, insight generation, and decision-making.

8.

Change Management & Continuous Improvement:

• Lead change management efforts to support adoption of new data platforms, processes, and operating models.
• Continuously improve delivery processes, team effectiveness, and platform capabilities.
• Establish feedback loops for continuous improvement and sustained performance.

What We Expect of You

Preferred Qualifications

• Proven experience building and scaling high-performing data and analytics teams
• Strong experience in enterprise data platform implementation and data enablement at scale
• Deep understanding of:
• Data architecture, pipelines, and platform design
• Data governance, MDM, and data quality frameworks
• AI/ML data readiness and enablement
• Experience working with commercial pharma datasets (CRM, claims, HCP/HCO, patient data)
• Strong executive presence with ability to influence senior stakeholders and drive alignment
• Demonstrated success delivering large-scale, cross-functional programs with measurable impact

Why This Role Matters

This role is pivotal in establishing AuRA as a foundational, enterprise-scale AI-ready data platform, while building the team, operating model, and execution discipline required to sustain long-term success.

Your leadership will directly impact:

• The quality and scalability of data across Amgen
• The speed and effectiveness of analytics and AI initiatives
• The capability and growth of the organization delivering these solutions

Ultimately, your work will help Amgen better leverage data to improve decision-making and serve patients.

Basic Qualifications and Experience:

• Bachelor's degree / Master’s degree with 18+yrs of Industrial experience.
• 4 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources.

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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