Primary Duties and Responsibilities:

• Product Strategy: Define and govern the strategy for AI products. Lead teams of AI Product Owners and have accountability for deployment of capabilities that add value to the business.

• AI Best Practices: Champion data quality observability performance and secure/ethical AI practices across the organization.

• Cross-Functional Collaboration: Partner with Architecture Governance Engineering InfoSec Privacy Risk & Compliance and IT Operations to deliver secure compliant and scalable AI solutions.

• Operational Readiness: Establish and maintain operational readiness standards including SLOs SLAs runbooks incident response and L3 support in partnership with Service Management and IT Operations.

• Business Impact & Adoption: Partner with product commercial and business leaders to set adoption goals valuation metrics and business impact measures for AI products.

• Observability & Monitoring: Ensure teams have access to observability platforms that deliver automated real-time insights into infrastructure health application performance and user experience.

• Innovation & Experimentation: Foster creative resourceful product development by enabling teams to deliver testable iterations even when ideal technologies are unavailable encouraging experimentation learning and validation of further investment.

• Perform other related duties as assigned.

Education Skillset & Experience Requirements:

• 10 years in engineering architecture or technical leadership roles and related experience with advanced analytics capabilities.

• Bachelors degree required; advanced degree preferred. Equivalent combination of relevant education and experience considered.

• Experience working in regulated industries (e.g. healthcare life sciences financial services) with knowledge of compliance privacy and ethical AI frameworks.

• Experience with tools such as ADO Jira Confluence and other agile project management and collaboration tools is highly desirable.

• Deep fluency in on-premises and cloud architectures data platforms AI technologies and modern engineering patterns.

• Strong familiarity with enterprise governance processesincluding security reviews privacy assessments and model risk controlsand hands-on experience designing both on-prem and cloud-based solutions.

• Robust understanding of AI SDLC governance including data sourcing model development validation and testing fairness and bias evaluation security and privacy review deployment monitoring (drift quality performance) and deprecation/retirement processes.

• Demonstrated ability to lead and influence across enterprise functions.

• Exceptional communication skills with the ability to deliver clear technical and strategic presentations to executives and cross-functional partners.

• Experience governing vendor technologies including contract evaluation technical due diligence and ensuring platform interoperability.

• Strong financial acumen in cloud cost optimization AI model cost management and valuation tracking.

• Deep knowledge of the Product Operating Model a bias for action and a passion to build products customers love that work for the business.

What Cencora offers

We provide compensation benefits and resources that enable a highly inclusive culture and support our team members ability to live with purpose every addition to traditional offerings like medical dental and vision care we also provide a comprehensive suite of benefits that focus on the physical emotional financial and social aspects of wellness. This encompasses support for working families which may include backup dependent care adoption assistance infertility coverage family building support behavioral health solutions paid parental leave and paid caregiver leave. To encourage your personal growth we also offer a variety of training programs professional development resources and opportunities to participate in mentorship programs employee resource groups volunteer activities and much more. For details visit time