Career Category
Sales & Marketing Operations
Job Description
Neural Nexus – Manager, Data & AI Enablement (AuRA) (L5)
Location: 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. If you have a passion for challenges and the opportunities that lie within them, you’ll thrive as part of the Amgen team. 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 vital role within
Neural Nexus – AI Data Enablement (AuRA)
, you will be responsible for the
execution and delivery of AI-enabled data foundations and data products
that power commercial analytics and AI use cases across Amgen.
This is a
hands-on execution and delivery leadership role
, focused on
building, operationalizing, and managing scalable, governed, AI-ready data solutions
. You will own delivery of assigned workstreams end-to-end, ensuring solutions are implemented on time, meet quality standards, and drive measurable business value.
You will also play a key role in ensuring
data stewardship, governance, and FAIR-aligned data practices
, enabling trusted and reusable data assets across AuRA.
Key Responsibilities
1. End-to-End Delivery of Data & AI Enablement Workstreams
Lead execution of
AuRA data enablement workstreams
from intake, design, and development through deployment and operationalization.
Deliver
AI-enabled data products and pipelines
that support commercial analytics and downstream applications.
Ensure solutions are delivered
on time, within scope, and aligned to business requirements
.
Coordinate readiness activities including
UAT, access provisioning, documentation, and production handoff
.
2. Data Platform Implementation & AI Readiness
Implement and scale
AI-ready data foundations within AuRA
, integrating structured and unstructured data sources.
Build and manage
reliable, scalable data pipelines
with appropriate monitoring, logging, and versioning.
Support development of reusable capabilities such as:
Data models and curated data layers
Metadata, tagging, and taxonomy frameworks
Data discoverability and access enablement
Ensure data is optimized for
performance, usability, and downstream analytics/AI consumption
.
3. Data Governance, Stewardship & Quality
Enforce data governance practices including:
Data ownership and stewardship
Data lineage and traceability
Role-based access controls
Ensure adherence to
FAIR principles (Findable, Accessible, Interoperable, Reusable)
and
Clean Core alignment
.
Drive
data quality processes (QC, MDM, affiliation)
to ensure data is business-ready and trusted.
4. Program Execution & Workstream Management
Manage multiple concurrent workstreams with clear ownership of:
Scope, timelines, risks, and dependencies
Drive structured program execution using
agile and project management best practices
.
Identify and proactively mitigate
delivery risks and bottlenecks
.
Track and report on
delivery health, milestones, and progress
.
5. Cross-Functional Collaboration
Partner with
Commercial, CD&A, Analytics, Technology, and Engineering teams
to deliver data solutions aligned to business priorities.
Act as a bridge between
business stakeholders and technical teams
, ensuring clarity in requirements and execution.
Coordinate across teams to maintain
execution alignment and delivery velocity
.
6. Adoption & Value Realization
Enable business and analytics teams to
access and use trusted AuRA data products
.
Support onboarding activities including:
Training sessions
Documentation and data product guides
Working sessions with end users
Track
adoption, usage, and value realization metrics
to measure impact.
7. Continuous Improvement & Change Management
Support change management by ensuring readiness of
processes, documentation, and communication
.
Gather feedback from users and stakeholders to improve data products and delivery processes.
Contribute to building
repeatable, scalable delivery frameworks
for AuRA data enablement.
What We Expect of You
Preferred Qualifications
Strong experience in
data platform implementation and data enablement delivery
Experience working with
commercial pharma datasets (CRM, claims, HCP/HCO, patient data)
preferred
Solid understanding of:
Data pipelines (ETL/ELT), data modeling, and data integration
Data governance, MDM, affiliation, and data quality frameworks
AI/ML data requirements and data readiness
Experience with modern data platforms (e.g.,
Snowflake, Databricks, Airflow
) and cloud environments
Proven ability to manage
multiple concurrent workstreams and complex dependencies
Strong program management and execution skills
Ability to translate business needs into
scalable data solutions
Strong communication and stakeholder management skills
Why This Role Matters
This role is critical to advancing
AuRA as a scalable, AI-ready data enablement layer within Neural Nexus
, enabling:
Faster delivery of high-quality commercial data
Scalable and reusable data products
Improved efficiency of analytics and AI-driven use cases
Your work will directly contribute to how Amgen leverages data to improve decision-making and ultimately serve patients better.
.
