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
5-day working week, 8-hour working day;
Remote work.