Neural Nexus – AI Data Enablement; AuRA), Associate Director

Position: Neural Nexus – AI Data Enablement (AuRA), Associate Director
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** Career Category
** Corporate Services## ##
** 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. Join us and transform the lives of patients while transforming your career.
** What you will do
** Let’s do this. Let’s change the  this vital role of
** Neural Nexus – AI Data Enablement (AuRA), Associate Director**, you will be responsible for owning and delivering the work streams for AI-enabled data foundations that power Neural Nexus across Amgen’s commercial and analytics ecosystem. This role focuses on the full execution lifecycle of the work streams under AuRA (design, development, implementation, rollout, and training) ensuring solutions are deployed on time, on scope, and with measurable business  addition to strong program management, this role is accountable for
** data stewardship across Neural Nexus AI Data Enablement**, ensuring that data assets adhere to
** FAIR principles (Findable, Accessible, Interoperable, Reusable)
** and align to Amgen’s
** Clean Core
** and enterprise data strategy. This includes establishing clear data ownership, stewardship practices, and quality standards to ensure AI-ready data is trusted, reusable, and sustainable s role requires exceptionally strong project and program management capabilities. You are accountable for the end-to-end planning, execution, and implementation of all AI Data Enablement work streams under AuRA, ensuring delivery across teams, functions, and technologies. It is a
** data enablement leadership role
** focused on building scalable, governed, AI-ready data products—and driving execution rigor across multiple concurrent initiatives so that Neural Nexus platforms and AI solutions can move fast with trust.

You will partner closely with Commercial Analytics, CD&A, AI&D, Tech and Engineering teams, serving as the point of accountability for AuRA delivery outcomes. This is a hands-on delivery role where attention to execution detail, tactical coordination, and dedicated mentality will be critical for success.

This role is ideal for a seasoned data enablement or analytics leader with strong program management expertise and cross-functional execution experience, who thrives on driving complex initiatives from concept through implementation.
** Flexible Commuter role in Thousand Oaks, CA. You will work on-site a minimum of 2-3 days a week.
**** Strategic Leadership & Roadmap Development
*** Complete delivery plans for AI Data Enablement initiatives and AuRA work streams, ensuring alignment with Neural Nexus priorities and achievement timelines.
* Support business and platform teams by translating commercial requirements into clear delivery objectives and executable working plans.
* Supply tactical input to broader program planning by identifying risks, blockers, and dependencies across assigned work streams.
* Own the roadmap execution and delivery health across all AuRA work streams.
** End-to-End Management of NN AuRA Work streams Lifecycle
*** Lead the end-to-end execution of AI Data Enablement capabilities, from intake and design through build, deployment, and operationalization.
* Drive agile development cycles in collaboration with Tech, AI&D, and Engineering teams, ensuring data pipelines and data products and governance controls are FAIR-compliant, Clean Core–aligned, and governed through clear data stewardship models while…