Career CategoryInformation Systems
Job DescriptionWhat you will doLet'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 working, with responsibility for balancing enterprise consistency with local execution needs.
- Accountable for volume, quality, timeliness, and business impact of operating-model and enablement outputs; shared accountability applies to outcomes owned by the relevant business or capability leaders.
Success in the role may be evaluated through a balanced set of measures, including:
- Adoption and effectiveness of AI&D operating standards, governance, decision rights, and delivery playbooks.
- Improvement in execution speed, handoff cycle time, capacity utilization, and organizational performance.
- Quality and health of partner/vendor engagement, including performance, reuse, and operational leverage.
- AI literacy reach, capability development, learning impact, and adoption of enterprise AI tools and ways of working.
- Workforce and capacity insights that improve allocation of resources and support AI&D location and capability strategies.
- Resolution of cross-AI&D friction points and successful implementation of priority continuous-improvement interventions.
- Effectiveness of cross-functional alignment, operating rhythm, decision-making, and enterprise integration.
- Sustainability and scalability of AI&D operating mechanisms as the organization moves from experimentation to scaled execution.
What we expect of youWe are all different, yet we all use our unique contributions to serve patients. The executive candidate we seek is an experienced leader with the following qualifications.
Basic Qualifications:- Doctorate degree & 7 years transformation experience OR
- Master's degree & 10 years of transformation experience OR
- Bachelor's degree & 12 years of transformation experience AND
- 7 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
Preferred Qualifications:- 15+ years of progressive leadership experience across technology, AI/data, digital transformation, operations, strategy and operations, or related disciplines.
- Demonstrated experience designing and scaling enterprise operating models and leading complex, cross-functional transformation.
- Proven experience leading global teams and influencing senior executives across business and technology organizations.
- Advanced degrees in business, technology, data, organizational effectiveness, or related field.
- Experience in biopharma/life sciences and regulated environments.
- Experience operating across US and global delivery organizations or shared-service models.
What you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is $265,133 - $358,709. Actual salary will vary based on several factors including, but not limited to, relevant skills, experience, and qualifications.In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
- Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and 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 and bi-annual company-wide shutdowns
- Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Salary Range265,132.85USD -358,709.15 USD
