Director, AI Adoption and Enablement

About the role

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.

Responsibilities

• Maintain visibility through the lifecycle of the AI Use Cases including ideation, development, ownership, deployment, measurement and enhancements.
• Support activities that promote AI awareness, AI literacy, AI adoption, and adherence to AI guidelines.
• Coordinate AI governance, AI enablement meetings, AI use case assessments across stages, and deeply support communications, AI adoption and training programs.
• 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.
• 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.
• Partner closely with Enterprise Change Management to ensure alignment with the broader enterprise messaging, change mechanisms, and practices.
• Coordinate to support Data and Analytics Data Science and AI for the change management necessary to ensure cultural change, literacy, awareness and adoption.
• Execute 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.
• Maintain alignment with or lead coordination of initiatives adjacent to AI in Data Analytics portfolio: 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.
• Experience: 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.
• Skills: 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.
• Knowledge: 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.
• Competencies: Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change. Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business. Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders. Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka. Respectful Collaboration - Seek and value others’ perspectives and strive for diverse partnerships to enhance work toward common goals. Empowered Development - Play an active role in professional development as a business imperative.