Director, GCO Technology, Data & Analytics

🔥 1 minute ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $192.6k - $260.6k / year

⏰ Full Time

🔴 Lead

👔 Director

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 $28.5G Post-IPO Debt on 2022-12

Biotechnology • Pharmaceuticals • Science

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• 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

• 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

• 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.