Portfolio Lead – Agentic AI

Job Title: Portfolio Lead – Agentic AI – Delivery Manager level

Type of hiring: Permanent

Job Location: London, UK

Role Purpose

Own the governance, prioritization, and value realization of a portfolio of Agentic AI programs, ensuring alignment with business strategy, optimal resource allocation, and successful scaling of AI initiatives.

Key Responsibilities

Portfolio Strategy and Governance

• Define and manage the portfolio roadmap for Agentic AI initiatives

• Prioritize programs based on business value, feasibility, and ROI

• Establish governance frameworks, reporting structures, and review cadences

• Ensure alignment with enterprise strategy and transformation goals

Multi-Program Oversight

• Oversee multiple Agentic AI programs across business units

• Track progress across programs for timeline, cost, and benefits realization

• Manage interdependencies and cross-program risks

• Ensure consistency in delivery standards and frameworks

Financial and Resource Management

• Manage portfolio budgets, forecasts, and cost optimization

• Allocate resources across programs based on priority and demand

• Track ROI, cost savings, and value realization metrics

• Drive efficiency in AI adoption and scaling

Governance, Risk, and Compliance

• Establish portfolio-level governance for Responsible AI

• Monitor risks across programs (technical, regulatory, operational)

• Ensure compliance with enterprise security and legal standards

• Define audit and reporting mechanisms

Executive Stakeholder Management

• Engage with senior leadership and business stakeholders

• Provide portfolio-level reporting, dashboards, and insights

• Drive strategic decision-making and investment prioritization

• Lead change management and organizational adoption

Technical Stack

Must Have

• Strong experience managing portfolios of large-scale technology or AI programs

• Experience in financial management, governance, and strategic planning

• Good understanding of:

o Agentic AI ecosystems and enterprise AI architectures

o LLM platforms and hybrid AI strategies

• Experience with enterprise delivery frameworks (Agile, SAFe, or hybrid)

• Strong executive communication and stakeholder management skills

Good to Have

• Experience in enterprise AI or digital transformation programs

• Familiarity with LLMOps, RAG, and AI observability concepts

• Exposure to agent frameworks or AI platforms

• Experience in Telecom, BFSI, or large enterprise environments