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Head of AI Strategy & Transformation

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: U023 (FCRS = US023) Sandoz Inc
Full Time position
Listed on 2026-08-28
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 176400 - 327600 USD Yearly USD 176400.00 327600.00 YEAR
Job Description & How to Apply Below

Job Description Summary

The Head of AI Strategy & Transformation is responsible for advancing the adoption of Artificial Intelligence across Sandoz North America to improve decision-making speed and quality, increase organizational productivity, improve forecasting and predictability, and strengthen operational performance. Job Description Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines.

As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Join us, the future is ours to shape!

Position Location

This position will be located at the Princeton, NJ US Headquarters site. Our Sandoz flexible hybrid working approach allows US office-based employees to work up to 50% of their monthly workday remotely. This role will not have the ability to be located remotely. Preference will be given to local candidates not requiring relocation. Must be authorized to work in the U.S. U.S. work visa sponsorship is not available for this role now or in the future.

Key Responsibilities
  • AI Strategy, Prioritization & Value Creation Develop and maintain the North America AI strategy and roadmap aligned with business priorities, operational objectives, and Sandoz's growth ambitions.
  • Establish, prioritize, and manage a portfolio of AI initiatives across North America, balancing business value, feasibility, risk, and resource availability.
  • Partner with business leaders to identify and advance high-value AI use cases that improve decision quality, productivity, forecasting accuracy, and operational performance.
  • Track value realization and portfolio performance to ensure AI investments deliver measurable business outcomes.
  • AI Adoption, Capability Building & Change Leadership Serve as the primary champion for AI adoption across North America, promoting responsible and practical use of AI tools in everyday work.
  • Increase organizational AI literacy through training, enablement, and change management initiatives that enhance employee capability and confidence.
  • Foster a culture of innovation and continuous improvement by redesigning and embedding AI-enabled ways of working across functions.
  • Cross-Functional Partnership & Solution Delivery Partner with Enterprise Operational Excellence to identify opportunities where AI can simplify processes, reduce inefficiencies, and accelerate business performance.
  • Collaborate with Global IT and the North America Technology Lead to prioritize, resource, and deliver AI solutions that support North America business objectives.
  • Influence and align stakeholders across Commercial, Supply Chain, Operations, Finance, Quality, Regulatory, and other functions to drive successful implementation and adoption.
  • Governance, Risk & Compliance Ensure all AI initiatives comply with global governance, cybersecurity, privacy, compliance, and responsible AI requirements.
  • Assess and mitigate risks associated with AI adoption while balancing innovation and business value.
  • Advise North America leadership on AI opportunities, emerging technologies, investment priorities, and the strategic implications of AI for the business.
What you’ll bring to the role:

Required Qualifications:

Education & Experience:

Bachelor's degree in business, Technology, Engineering, Data Science, Operations, or a related field. 10+ years of experience in strategy, operations, digital transformation, operational excellence, technology, consulting, or related leadership roles. Practical experience applying AI, automation, analytics, or digital transformation technologies to solve business problems and improve operational performance, with sufficient technical understanding to evaluate solution feasibility and implementation requirements. Working knowledge of AI platforms, large language models (LLMs), AI agents, orchestration frameworks, and human-in-the-loop design principles.

Demonstrated success leading enterprise-wide initiatives through influence, collaboration, and stakeholder engagement. Strong understanding of artificial intelligence, advanced analytics, digital…

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