Senior Data & Analytics Leader - AI-Driven Enterprise

Amgen

United States

Remote

USD 140,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Stock‑based long‑term incentives
Award‑winning time‑off plans
Comprehensive benefits package
Flexible work models

Job summary

Amgen seeks a Senior Manager of Data & Analytics to lead enterprise data initiatives from discovery through delivery, adoption and value realization. You will partner with Business Owners, EDSE Platform, Engineering, Governance, Architecture, and PMO to shape roadmaps and prioritized backlogs, delivering measurable business value.

The role requires deep data engineering and analytics delivery know‑how, with experience using Databricks, AWS, and Power BI to build scalable solutions and governance

Qualifications

  • Doctorate or Master’s with relevant experience in Data Engineering, Information Systems, or Analytics.
  • Experience leading cross‑functional data initiatives from discovery to production delivery.
  • Proven ability to translate business needs into product requirements and roadmaps.

Responsibilities

  • Lead discovery with Business Owners and translate priorities into product visions and roadmaps.
  • Define adoption and value metrics for initiatives and manage delivery plans.
  • Lead reusable data products and scalable enterprise data usage.

Skills

Data engineering
Stakeholder management
Cross-functional collaboration
Leadership / people management
Problem solving

Education

Doctorate degree
Master’s degree
Bachelor’s degree
Associate’s degree
High school diploma / GED

Tools

Databricks
AWS
Power BI

Job description

Amgen seeks a Senior Manager of Data & Analytics to lead enterprise data initiatives from discovery through delivery, adoption and value realization. You will partner with Business Owners, EDSE Platform, Engineering, Governance, Architecture, and PMO to shape roadmaps and prioritized backlogs, delivering measurable business value.

The role requires deep data engineering and analytics delivery know‑how, with experience using Databricks, AWS, and Power BI to build scalable solutions and governance

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