Our Customer:
A global enterprise organization driving digital transformation through AI-powered productivity platforms and enterprise automation. The company focuses on secure adoption of modern AI technologies while ensuring governance, compliance, and scalable business enablement.
Your Tasks:
Lead the rollout and adoption of enterprise AI capabilities across the organization
Prioritize AI features and maintain a structured product backlog aligned with business objectives
Own the end-to-end approval process for new AI capabilities, including assessment, risk review, approvals, and exception management
Coordinate with Security, Legal, Privacy, Architecture, and business stakeholders to ensure compliant and secure solution delivery
Define and maintain governance standards for AI solutions, connectors, plugins, integrations, and data access
Establish secure approaches for integrating enterprise and external data sources into AI solutions
Develop enablement materials, documentation, and training initiatives to support user adoption
Maintain governance documentation and audit records to support compliance requirements
Monitor platform adoption, usage, and performance to identify optimization opportunities
Manage the lifecycle of AI capabilities, including rollout, enhancement, retirement, and decommissioning
Track solution costs, usage trends, and business value to support continuous optimization
Required Experience and Skills:
5+ years of experience in Product Management, AI Platforms, Enterprise Applications, or similar roles
3+ years of hands-on experience with Microsoft 365 Copilot, enterprise AI productivity solutions, or similar AI platforms
Experience managing product backlogs, feature prioritization, and release planning
Proven experience implementing governance, compliance, and security practices for enterprise technology platforms
Experience collaborating with cross-functional stakeholders, including Security, Legal, Privacy, Architecture, and business teams
Experience managing the full lifecycle of AI capabilities, from evaluation and deployment through ongoing optimization
Understanding of enterprise integrations, APIs, connectors, extensibility, and data access concepts
Experience monitoring platform adoption, usage analytics, and capability performance
Experience with FinOps principles, cloud cost management, and AI platform cost optimization
Strong analytical, stakeholder management, communication, and decision-making skills
English level: Upper-Intermediate (B2) or higher
Would Be a Plus:
Experience with enterprise AI governance frameworks
Experience implementing Microsoft 365 or Microsoft ecosystem solutions
Knowledge of enterprise security, compliance, and privacy standards
Experience supporting AI adoption, organizational change management, or user enablement initiatives
Working Conditions:
Remote work
5-day working week, 8-hour working day
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