AI Governance & Service Operations Engineer

Company Overview 

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. 

Backed by nearly 100 years of experience, with more than 48,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500, America's Most Innovative Companies #51, 11 Best GCCs to work for in India, Fortune Sector Leaders: Health Care #5, with a $254 billion. of revenue in FY26. 

About Cardinal Health International India (CHII) 

This role is part of the Information Security function for Cardinal Health International India Pvt Ltd (CHII). 

Cardinal Health International India (CHII) is part of the Cardinal Heath Global Technology and Business Services (GTBS) team. CHII leverages technology to offer scalable and healthcare solutions to enhance efficiency and improve quality of care across the value chain. 

Our vision is to build a world class capability center that is an intersection of tech-innovation and learning, empowering our people to build solutions which will solve healthcare’s most complex challenges. 

Position Summary 

Operationalizes enterprise AI governance and service-management requirements across the productivity AI portfolio supported by Client Productivity & Collaboration Services. 

Coordinates governance readiness, operational controls, lifecycle evidence, licensing and cost analysis, reporting, service documentation, and sustainment practices without replacing the AI CoE, Security, Privacy, Legal, Compliance, or formal approval bodies. 

Strategic Purpose 

Make AI supportable and governable as an enterprise service. 

The role serves as the operating discipline for the portfolio, converting policy and control requirements into repeatable processes, evidence, reporting, and service-management practice, and supplying the licensing and cost analysis that informs investment and renewal decisions. 

Primary Responsibilities 

• Coordinate governance and operational activities for Microsoft Copilot and other supported productivity AI tools. 

• Maintain service ownership records, operational controls, decision logs, risk-review artifacts, approval evidence, lifecycle documentation, support models, and remediation trackers. 

• Support AI intake and risk-review readiness by coordinating evidence collection, issue tracking, control mapping, and follow-up with governance partners. 

• Translate approved AI policies and control requirements into practical procedures, checklists, runbooks, service-catalog content, and operational acceptance criteria. 

• Own license and cost analysis for supported productivity AI services, including assignment, utilization, tier optimization, reclamation, cost trends, and identification of portfolio optimization opportunities. 

• Supply the licensing and cost evidence that informs investment, scale, and renewal recommendations made by the Product Owner. 

• Maintain reporting for adoption, service health, support trends, open risks, exceptions, readiness, and service maturity. 

• Coordinate operational readiness for new capabilities, including approvals, support processes, change records, communications dependencies, knowledge articles, monitoring expectations, and escalation paths. 

• Coordinate access reviews, permission reviews, data-protection reviews, retention and eDiscovery dependencies, resiliency expectations, and audit evidence with accountable teams. 

• Own the service documentation framework and operating cadence, including recurring reviews, action tracking, KPI definitions, and executive reporting inputs. 

• Maintain enterprise standards for AI-ready content, information architecture, and grounding readiness in partnership with the AI Platform Architect, and publish them for the AI Adoption, Knowledge & Collaboration Engineer to apply. 

• Participate in incident, request, problem, change, audit, resiliency, vendor-risk, and compliance activities as required. 

Key Accountabilities and Expected Outcomes 

• Consistent, auditable operating practices for supported productivity AI services. 

• Clear ownership, escalation, documentation, and operational readiness for new AI capabilities. 

• Accurate license, cost, risk, control, service-health, and maturity reporting. 

• Licensing and cost analysis of sufficient quality to support investment and renewal decisions made by the Product Owner. 

• Reduced administrative and governance coordination burden on the service owner and the AI Platform Architect. 

Required Technical and Professional Competencies 

• AI governance operations, responsible AI, risk management, compliance coordination, lifecycle management, and audit evidence. 

• Microsoft 365 platform knowledge, including Microsoft 365 Copilot, Teams, SharePoint, OneDrive, Exchange Online, Entra ID, and Microsoft Purview concepts. 

• SaaS licensing models, license optimization, cost analysis, and utilization reporting. 

• ITIL, ServiceNow, incident, request, problem, change, service transition, operational reporting, and documentation practices. 

• Data protection, privacy, sensitivity labels, retention, eDiscovery, least privilege, access reviews, and third-party risk concepts. 

• Information architecture, content lifecycle, and knowledge-management standards sufficient to maintain AI-ready content and grounding-readiness criteria. 

• Cross-functional coordination across technical, governance, security, privacy, legal, compliance, sourcing, and business teams. 

Preferred Qualifications and Experience 

• Bachelor degree in Information Systems, Business, Risk Management, Computer Science, or a related field, or equivalent work experience. 

• Four or more years of related experience in IT operations, governance, compliance, risk, service management, SaaS, or Microsoft 365. 

• Experience maintaining evidence, dashboards, runbooks, lifecycle records, service catalogs, or audit-ready operational documentation. 

• Experience with software license management, utilization analysis, or SaaS cost optimization. 

• ITIL, Microsoft Security or Compliance, AI governance, privacy, risk-management, or project-management certifications are preferred. 

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day.