Executive Director, AI & Data

Career Category

Engineering

Job Description

Responsibilities

•Leadership & Talent Management: Build, grow, and lead a world-class AI & Data team at the AIN site, attracting and developing top talent to support broader organization. Foster an environment of innovation, continuous learning, and technical excellence to drive AI and data-driven advancements.•Strategic Leadership: Define and execute the vision, strategy, and governance for enterprise-wide AI & Data, ensuring business alignment, data integrity, security, and compliance. Drive AI and data-driven transformation across R&D, commercial, operations, and corporate functions to maximize business impact.•Enterprise-Wide Collaboration: Partner with business leaders and other site leaders in India to embed AI and data-driven decision-making into critical functions and democratize insights across Amgen. Act as a thought leader, advocating for AI & Data strategy to internal and external stakeholders while fostering a culture of data literacy. •Innovation at Scale: Stay ahead of emerging AI, big data, and cloud technologies, fostering external partnerships with academia, startups, and industry leaders. Deploy digital solutions at scale to enhance operational efficiency, optimize decision-making, and improve patient outcomes. •Performance Measurement & Optimization: Define and monitor KPIs for AI & Data initiatives, ensuring measurable business impact and continuous optimization. Implement AI-driven automation and analytics across R&D, commercial, operations, and corporate functions to accelerate value realization.•Industry Engagement & Thought Leadership: Represent Amgen’s AI & Data vision at global industry forums, positioning the company as a leader in AI-driven biopharma innovation. Promote a culture of AI and data innovation, empowering teams to leverage advanced analytics for strategic decision-making.

Accountabilities

Leadership & Vision: Provide clear vision and strategy for enterprise-wide AI & Data strategy, ensuring governance, security, and innovation to maximize business impact. Establish cross-functional partnerships, and prioritize investments working with executive leadership

Strategic Outcomes: Deliver on the organizational vision and strategic initiatives and ensure successful execution of scalable AI & Data solutions to improve operational efficiencies, enhance patient outcomes, and drive measurable business value.

Qualifications

Minimum Requirements

•Doctorate degree & 6 years of directly related experience OR•Master’s degree & 10 years of directly related experience OR

•Bachelor’s degree & 12 years of directly related experience AND•6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Preferred Requirements

•Master’s or Ph.D. in AI, Analytics, Data Science, Machine Learning, Computer Science, or a related field, with deep expertise in enterprise AI & Data strategy.•20+ years of leadership experience, including 10+ years driving AI & Data strategy, analytics platforms, and enterprise AI transformation at scale.•Proven track record of building, scaling, and governing AI-driven enterprise platforms with measurable business and operational impact.•Deep expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud AI platforms (AWS, Azure, GCP), and advanced analytics tools.•Strong AI & Data governance leadership, ensuring compliance with regulatory, ethical, and security standards in a global enterprise environment.•Experience leading big data ecosystems, AI-driven automation, data pipelines, ML-Ops, and cloud-based AI/ML deployments.•Ability to lead large-scale AI & Data initiatives, driving innovation, business growth, and AI adoption across the organization.•Demonstrated success in developing and scaling high-performing teams at new centers or sites, driving AI & Data capabilities in emerging locations.•Exceptional executive communication, stakeholder management, and strategic influence, with experience presenting AI strategy to C-level executives and board members.•Extensive experience in budget management, resource allocation, and organizational scaling, fostering a high-performance AI & Data organization.

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