Director, AI Adoption and Enablement

## Director, AI Adoption and Enablement Apply locations:
Princeton, NJtime type:
Full time posted on:
Posted Yesterday job requisition :
R11337

The Director of AI Adoption and Enablement is a strategic and operational leader in Otsuka’s Data and Analytics organization responsible for facilitating adoption, and governance of AI through AI Enabling committee and its sub-committees across the OAPI/OPDC enterprise as well as with specific affiliates. This role will be instrumental in maintaining visibility through the lifecycle of the AI Use Cases including ideation, development, ownership, deployment, measurement and enhancements.

In addition to maintaining the AI use case repository in collaboration with IT Business Partners, this role will support activities that promote AI awareness, AI literacy, AI adoption, and adherence to AI guidelines. As an ongoing practice, the role will ensure metrics of business impact and their uniform collection is performed across the portfolio and participate in assessment that responsible AI practices are followed within the use cases.
The Director of AI Adoption and Enablement will act as a strategic bridge in DnA supporting AI Enablement committee to coordinate between Data Analytics, IT, business functions, vendors and end users, driving cultural transformation, developing comprehensive enablement programs, and coordinating governance to facilitate responsible and compliant development and use of AI solutions at scale in Data and Analytics portfolio. To ensure success of AI adoption and enablement, the role will coordinate AI governance, AI enablement meetings, AI use case assessments across stages, and deeply support communications, AI adoption and training programs, directly support or maintain alignment with other Enterprise initiatives as well as initiatives that are central to Data and Analytics.

To ensure the success of these efforts, this role will be accountable in Data and Analytics, specifically Data Science and AI for the change management necessary to ensure cultural change, literacy, awareness and adoption. The role will partner closely with Enterprise Change Management to ensure alignment with the broader enterprise messaging, change mechanisms, and practices.

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…