Director, GCO Technology, Data & Analytics

Amgen

Director of GCO Technology Data & Analytics at Amgen leading innovative data and analytics solutions for commercial sectors. Driving technology enhancements and overseeing product teams for advanced capabilities.

Posted 6/13/2026full-timeRemote • Florida • 🇺🇸 United StatesLead💰 $192,613 - $260,594 per yearWebsite

About the role

Key responsibilities & impact

Foster a culture of innovation, identify and implement data and analytics solutions that drive value to our stakeholders
Co-ordinate end-to-end service delivery from the acquisition and cataloguing of data to the ingestion, quality control, and readiness of that data for consumption into analytics published by Global Commercial Capabilities & Innovation (GCCI)
Create roadmaps with Technology, AI&D, and Commercial leaders to implement and maintain next generation of data and analytics platforms and technologies
Plans closely with Technology and AI&D leadership across the Enterprise to drive development of new capabilities and/or continuous improvement anywhere commercial data is required (i.e. product launches, field execution, etc)
Develops cross-functional governance plans to ensure executive alignment of technology prioritization for GCCI. This includes active relationship-building and engagement with leadership at VP and ED level and down.
Conducts joint-planning with Technology and business owners to mature and evolve the operating model using the Scaled Agile Framework (SAFe)
Manages execution of initiatives with CEO staff level visibility such as AI Data Scaffolding, Performance Analytics, and reporting platform buildout within the Neural Nexus initiative
Conducts interdependency analysis across multiple product teams in the solution train to ensure coordinated value delivery
Manages a team of Product Owners that drive prioritization and delivery execution across the portfolio
Drive the design, development, deployment, and sustainment of scalable data and analytics platforms and reusable accelerators that enable and increase the value of application and product teams

Requirements

What you’ll need

Doctorate degree and 4 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
Master’s degree and 7 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
Bachelor’s degree and 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience
Experience leading data and analytics product teams on enterprise platforms such as Databricks
Experience with insights generation with commercial data sets across all Therapeutic Areas for US brands
Experience working in an environment requiring strong security controls and de-identification of data
Experience leading teams in an agile operating model
Providing oversight for teams that design and deploy technology capabilities that integrate commercial data across the enterprise
Experience in developing and implementing technology roadmaps and strategies, including data strategies, technology development and rationalization, and end user experience
Experience managing full DevOps according to structured ITIL / Service Ownership standards
Good-to-Have Skills Experience with semantic modeling, knowledge graphs, and context engineering
Experience with implementation and tuning of commercial models on Large Language Models (e.g. Databricks AI/BI Genie, OpenAI, Claude)
Familiarity with low-code, no-code test automation software
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges applying AI/ML frameworks (e.g. LLM for GenAI, Agent Framworks)

Benefits

Comp & perks

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible.

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsdata ingestionquality controldata governanceScaled Agile Framework (SAFe)DevOpssemantic modelingknowledge graphscontext engineeringLarge Language Models

Soft Skills

leadershiprelationship-buildingproblem-solvinganalytical thinkingcritical thinkingteam managementcommunicationcollaborationstrategic planninginnovation