Career Category
Sales & Marketing Operations
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 & AuRA 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.
.
