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A large insurer is folding AI and generative AI initiatives into its core IT portfolio governance, signaling that AI projects are now being budgeted and tracked like any other major capital bet, with a manager expected to use AI on the portfolio management process itself.
Role Overview: We are seeking an IT Project Portfolio Governance Manager for the IT Planning Portfolio Management Team of TSO. The role leads cost and resource management, management reporting, and governance and controls for the IT project portfolio across Group, ST, and ART. As AI and Generative AI initiatives grow, we also need a manager with a high level of AI skills who understands AI-enabled projects and uses AI to modernize portfolio management.
Role Purpose: This role leads effective oversight of the IT project portfolio by owning cost and resource tracking and review, management reporting, and governance and controls. The role also covers AI-related projects and drives the use of AI to make portfolio management more efficient, transparent, and data-driven.
Key Responsibilities
· Lead the review of IT project costs and resources (comparison with KPIs, identification and resolution of issues) across Group, ST, and ART.
· Be accountable for annual and monthly tracking of IT project costs and resources (plan vs. actual management).
· Be accountable for management reporting to IT leadership, including data collection, analysis, report preparation, and recommendations.
· Identify process gaps and deficiencies, and define and drive solutions to strengthen portfolio governance and controls.
· Oversee the launch of new IT projects (explanation of processes, support for initial project planning) and respond to requests from Region/Global teams.
· Lead governance oversight of AI/Generative AI projects, understanding their use cases, cost drivers, and risks, and tracking cost, resources, and outcomes in partnership with delivery teams.
· Lead the use of AI/Generative AI tools (e.g., Copilot) in day-to-day work to improve the efficiency and quality of data analysis, reporting, and governance processes, and promote adoption within the team.
Required Experience and Skills
[Required]
· 10+ years of IT experience related to project management, governance, PMO, and/or systems development, including experience leading governance or portfolio management activities.
· Experience in creating reports for a wide audience, including senior stakeholders, with strong data analysis skills and the ability to make recommendations.
· Strong collaboration and communication skills, including the ability to build relationships at all levels, work cross-organizationally, and lead through influence.
· A high level of AI skills: a demonstrated track record of improving own work efficiency with AI/Generative AI (e.g., Copilot or LLMs for analysis and reporting), and the ability to understand AI-enabled projects (use cases, cost drivers, and risks) well enough to govern them.
· Business-level communication skills in English and Japanese; advanced Japanese is required.
[Preferred]
· Experience introducing or implementing AI/Generative AI in an organization or project (e.g., leading a rollout, defining use cases, or developing LLM-based tools, AI agents, or workflow automation with engineering teams).
· Experience creating new processes, project or cross-functional leadership experience, PMP/PMI or SAFe Agile certifications, and experience in the life insurance or financial industry.
Key Competencies: Portfolio governance, cost and resource management, management reporting, stakeholder management and influence, structured problem solving, clear communication, and AI/Generative AI skills and utilization.
Success Profile: The ideal candidate is a proactive professional who leads portfolio governance with rigor, delivers clear and reliable management reporting, and brings a high level of AI skills, already working more efficiently with AI and understanding AI-enabled projects.
metlife:21322www.metlifecareers.com|/en_US/ml/SearchJobsThis posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
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