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Job Details

Overview

The Director, AI Research and Analysis will play a pivotal role in advancing Cencora’s AI capabilities by building and leading a newly established domain focused on research, experimentation, and analysis. This role will be responsible for exploring new and emerging AI technologies, staying current on developments and technologies in the AI space, building POCs and prototypes, handing off approved technologies to the AI Delivery team and providing insights to inform leadership decisions.

The ideal candidate will combine their AI technical expertise with intellectual curiosity and strong organizational skills to connect technical potential with business opportunities. They will need to be hands-on in the early stages of team development, be an avid consumer of information on emerging technologies, demonstrate the ability to tap into industry experts, and stay current on the latest trends in the AI space.

Additionally, the candidate must be able to collaborate effectively with the broader IT team, gaining credibility and cooperation even while building a function that will require working with non-approved technologies in a safe and secure manner. This role will also foster partnerships with academia and industry to ensure Cencora remains at the forefront of AI advancements while maintaining a clear path to organizational AI transformation.

Responsibilities

Research Leadership

• Establish and lead an AI Lab function focused on research and experimentation, including the development of prototypes, proofs of concept, and pilot projects to test novel AI applications and methodologies.

• Identify and evaluate emerging AI technologies, methodologies, and trends to assess their relevance and potential impact on Cencora’s portfolio.

• Build and manage a small, high-performing team of technologists and developers focused on exploring cutting-edge AI technologies.

• Develop a structured process for research, experimentation, and evaluation of new technologies and approaches.

Industry Engagement and Partnerships

• Monitor industry trends by cultivating relationships with academic institutions, research organizations, innovative startups and industry thought leaders

• Represent Cencora at AI conferences, forums, and partnerships to ensure visibility and access to cutting-edge developments.

• Collaborate with stakeholders across the organization to align research efforts with business needs and priorities.

Operational Excellence

• Develop metrics and KPIs to measure the success of research initiatives and their contribution to organizational goals.

• Ensure all research and experimentation is conducted in a secure and compliant manner, minimizing risks associated with non-approved technologies.

• Collaborate with the AI Delivery and AI Product leads on transitioning validated experiments into production capabilities.

Communication and Stakeholder Engagement

• Be an internal thought leader for cutting edge AI-related technologies and emerging industry use cases

• Present research findings, white papers, experimental results, and recommendations to executive leadership and cross-functional teams.

• Advocate for the adoption of emerging technologies and methodologies within Cencora’s AI organization.

• Build credibility and foster trust with the broader IT team to ensure alignment and support for research initi