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Director, AI Adoption and Enablement

Otsuka Pharmaceutical Co., Princeton, NJ, United States

Duration: Full Time

The Director of AI Adoption and Enablement is responsible for coordinating to support Data and Analytics Data Science and AI portfolio and AI Enablement and supporting operationalization of AI strategy through use cases, their adoption, value tracking, and trainings by working as a bridge between Data and Analytics and business functions. This individual will serve as a strategic bridge between Data Analytics, IT, and business functions supported by Data and Analytics, as well as coordinate activities needed in AI Enabling committee.

  • Coordinating Strategic roadmap for AI Enablement and Adoption: Develop a plan and lead the operationalization of AI awareness, enablement and adoption roadmap, ensuring its alignment with Otsuka’s AI strategy, measuring and communicating their effectiveness

  • Lead coordination of AI Governance: Lead coordination various AI Governance meetings, including AI Enablement Committee, AI Science and Applications Council, Data and AI Platform Council, and use case assessment and reviews, AI communication (outside-in and internal initiatives)

  • AI use cases Coordination: Coordinate use case assessment, architecture reviews, maintain a catalog of use cases and their status across their life cycle in collaboration with the team responsible for use cases, status and impact metrics, help assess and track user feedback, and strategic communication related to their adoption and refinements

  • Coordinating AI Governance activities across AI use cases: Track use case activities through stage gates (proof-of-concept, pilot, full production deployment), managing end-to-end coordination of ensuring stakeholder engagement throughout the process and escalating to appropriate channels where needed

  • Performance Monitoring: With stakeholders, define and track key performance indicators (KPIs) to measure the ROI and effectiveness of AI initiatives and use cases across Otsuka and use data-driven insights to refine strategies and demonstrate business value. Facilitate engagement with end-users to ensure customer-centric approaches.

  • Compliance with Responsible AI and other guidelines: Contribute to operationalization of framework for responsible AI across use cases, such that there is compliance with regulations like GDPR, HIPAA, and the EU AI Act. This includes contributing to documenting guidance issued by ASAP council for responsible AI, implementing a system of record for AI assets, and coordinating closely with Legal, Security, and Risk to manage deployment risks.

  • Execution and Operations: Monitor key performance indicators (KPIs) for adoption and ROI, and coordinate with IT, data science, and product teams.

  • Enablement and Cultural Transformation for AI use in the scope of Data Science and AI in Data and Analytics: Working with Change Management teams, AI enablement programs and networks to train teams and encourage data-driven decision-making. Act as a change agent aligned with organizations change management strategy, teams, and guidelines, understand and implement mechanisms and change management approaches to ensure the adoption of AI tools and capabilities through various programs and communication strategies to foster a culture of AI fluency, awareness, and innovation which are needed for successful AI adoption and transformation

  • Align with or lead coordination of initiatives adjacent to AI in Data Analytics portfolio: Maintain alignment with or lead coordination of initiatives that support AI, such Data, Data strategy, Real World Data Strategy, Analytics or their governance. Maintain and communicate metrics around their impact and escalate to appropriate bodies as needed

Qualifications / Requirements:

  • Education: A Bachelor's degree is required, with a Master's preferred. An MBA is a plus.

  • Over 10 years of experience in a mix of Pharma drug development or commercialization and enterprise digital transformation or technology adoption, with at least 7 years in biopharmaceuticals and experience integrating technology a regulated setting. Experience with AI/ML concepts and technology transformation is beneficial.

  • Excellent coordination, project management, change management and stakeholder management skills with demonstrated successful experience in delivering complex multi-year Enterprise initiatives or projects

  • Broad understanding of drug development and R&D organization and associated processes.

  • Excellent understanding of Pharma business, processes, and regulations to effectively deliver on AI transformation

  • Strong communication skills are needed to explain complex AI to non-technical stakeholders, along with leadership, collaboration, and strategic thinking abilities. Knowledge of AI technologies and pharmaceutical regulations is also important.

  • Experience collaborating with cross-function teams, such as data science, AI, and IT teams and a familiarity with concepts in AI, Data, Analytics, Data and Information Governance, etc.

  • Excellent leadership, communication, and change management skills, with the ability to influence senior stakeholders across a complex, matrixed organization.