Associate Vice President, AI&D Scaled Operations and Transformation

Career Category Information Systems Job Description 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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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 world. In this vital role as Associate Vice President, Scaled Operations and Transformation you will lead the operating system, enablement, and cross-functional mechanisms that make AI&D more consistent, scalable, and high-performing.The role translates AI&D strategy into clear operating standards, decision rights, performance mechanisms, workforce and capability plans, and repeatable ways of working across the AI&D organization.Serving as an enterprise integrator and catalyst for execution, the AVP will connect the AI&D leadership team with Product, Data, AI/DS, Technology, Finance, Human Resources, business functions, and external partners to remove friction, accelerate execution, and enable reuse across the organization. The role will build a globally connected operating model across US and AIN talent while helping AI&D move from experimentation to coordinated scale.The AVP will lead four integrated capabilities: Operating Excellence; Continuous Improvement & Organizational Performance; Partner Enablement & Operations; and Enterprise AI Literacy & Learning and Development. The role will establish mechanisms for handoffs and transition-to-scale, coordinate cross-AI&D operating interventions, and recommend capacity, workforce, and operating-model shifts. Key Responsibilities: Operating Excellence Define and evolve AI&D operating models, governance, forums, decision rights, and standards that enable consistent execution across teams and geographies. Establish repeatable ways of working, delivery standards, playbooks, and handoff patterns across AI&D, including clear transition-to-scale mechanisms. Translate AI&D strategy into practical operating mechanisms that clarify accountability, dependencies, escalation paths, and execution rhythm. Identify and address duplication, fragmentation, and gaps across teams while preserving accountability with business, Product, Data, AI/DS, and platform owners. Continuous Improvement & Organizational Performance Establish performance KPIs, operating reviews, and management mechanisms that provide leaders with timely insight into outcomes, capacity, risks, and health execution. Drive capacity and workforce planning insights across AI&D, including location, talent mix, resource allocation, and capability need. Lead continuous-improvement efforts to surface friction, prioritize enterprise interventions, and drive issues through resolution and adoption. Use portfolio and resource analytics to identify trends, interdependencies, and opportunities to improve cycle time, productivity, and organizational effectiveness. Partner Enablement & Operations Establish AI&D partner and vendor operating standards, engagement playbooks, governance mechanisms, and health/performance measures. Coordinate key external providers with the appropriate AI&D capability owners, ensuring clear accountability, milestones, handoffs, and value expectations. Provide ecosystem insight and recommendations on partner utilization, operating models, and opportunities to improve reuse, leverage, and execution. Complement Corporate Business Development and contracting organizations by enabling effective pull-through and operational use of AI&D partner relationships. Enterprise AI Literacy & Capability Development Lead the enterprise AI literacy and capability-development strategy in partnership with functional and enterprise learning leaders. Define learning roadmaps, role-based pathways, onboarding and upskilling approaches, communities of practice, certification mechanisms, and change-enablement strategies. Ensure AI&D has the skills, knowledge, and adoption mechanisms required to leverage AI tools and capabilities effectively and responsibly. Use workforce insights and adoption measures to identify capability gaps and prioritize future learning investments. Cross-AI&D Integration & Transformation Serve as connective tissue across the AI&D leadership organization while maintaining clear ownership with the appropriate capability, Product, Data, AI/DS, platform, or business leader. Lead cross-enterprise operating interventions that span multiple AI&D pillars, functions, and geographies, resolving dependencies and escalating enterprise tradeoffs to the VP. Partner with workforce transformation efforts, including TWFS, to translate organizational and workforce decisions into executable operating plans and sustainable capabilities. Represent AI&D in relevant enterprise transformation forums and share standards, lessons, tools, and reusable practices across the organization. Team and Organizational Leadership Build and lead a high-performing, globally connected organization across the four capabilities, with clear accountabilities, decision rights, and development paths. Attract, develop, coach, and retain talent across operating model, strategy and operations, workforce planning, ecosystem management, learning, analytics, and transformation disciplines. Deploy internal resources and external partners flexibly based on emerging AI&D needs, maintaining a lean operating model and strong spans of control. Foster a culture of collaboration, disciplined execution, continuous improvement, and accountability across US and AIN teams. Scope and Impact Owns the AI&D operating system and enablement mechanisms that influence how work is planned, governed, delivered, transitioned, and improved across the organization. Leads four integrated capabilities with cross-AI&D impact and coordinates work across AI&D pillars, enterprise functions, business stakeholders, and geographies. Influences operating decisions involving governance, workforce and capacity, partner models, performance management, learning, and organizational effectiveness. Partners regularly with the AI&D leadership team and senior leaders across Product, Data, AI/DS, Technology, Finance, Human Resources, business functions, and enterprise transformation teams. Operates across US and AIN talent and helps establish globally scalable ways of