AI Business Value & Use Case Portfolio
· Facilitate business ideation workshops and discover high-value AI opportunities.
· Prioritize AI use cases based on business value, feasibility, adoption readiness, risk and strategic alignment.
· Develop business cases, define KPIs and track value realization after deployment.
· Maintain an enterprise AI use case roadmap for Claude Enterprise and related governed AI capabilities.
· Translate business needs into future-state AI-enabled workflows, user journeys and operating-model impacts.
· Define human-in-the-loop checkpoints, data needs, exception handling and adoption requirements.
· Create solution briefs that are understandable to business stakeholders and actionable for technical teams.
· Partner with product, process and functional leaders to move from experimentation to governed adoption.
Technical Architecture & Platform Enablement
· Define Claude Enterprise usage patterns, solution templates and approved architecture approaches.
· Support MCP integration pattern design for enterprise systems, APIs and approved data sources.
· Assess integration complexity, data dependencies, technical feasibility and operational readiness.
· Coordinate with Infrastructure/Cloud, Enterprise Architecture, Data Engineering and application teams to ensure designs are scalable and supportable.
Governance, Responsible AI & Compliance
· Prepare use cases for AI governance review and maintain required documentation.
· Coordinate risk classification, policy alignment, human oversight, auditability and exception management.
· Ensure business teams understand approved, restricted and prohibited AI usage patterns.
· Report on adoption, value realization, risk posture and control maturity.
IAM, Cybersecurity & Control Partnership
· Work closely with IAM on RBAC, SSO, provisioning, access reviews and privileged access considerations.
· Work closely with Cybersecurity on data protection, audit logging, vendor risk, prompt/data handling and security architecture review.
· Ensure IAM and Security remain accountable for their domains while this role validates that AI solutions align with their controls.
· Escalate unresolved control gaps before production deployment or scaled adoption.
Adoption, Change & Value Realization
· Create AI playbooks, business adoption guides, use case templates and champion enablement materials.
· Track active usage, stakeholder satisfaction, productivity benefits, cycle-time reduction and lessons learned.
· Promote reuse of proven AI patterns across business functions.
· Help leaders establish practical, responsible and measurable AI adoption habits.