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.
