Director Technical Program Management

We are seeking an experienced Director - Technical Program Management (AI / GenAI Platforms) to lead large-scale AI transformation programmes and drive the successful planning, execution, and delivery of enterprise AI / GenAI initiatives.

This role requires a strong blend of technical programme management, enterprise execution, AI platform understanding, stakeholder leadership, and cross-functional coordination to drive next-generation AI systems powered by LLMs, agentic AI, automation workflows, and enterprise-scale intelligent platforms. The ideal candidate should have strong experience managing complex, cross-functional technical programmes; collaborating closely with engineering, AI/ML, architecture, data science, and product teams; and driving AI programmes from strategy to enterprise-scale execution.

The candidate will have responsibilities across the following functions:

AI Program Strategy and Execution:

• Lead enterprise-scale AI / GenAI technical programmes from planning to execution and production rollout.
• Drive execution of large AI initiatives focused on generative AI platforms, agentic AI systems, and intelligent automation programs.

Enterprise AI copilots and workflows:

• Define program execution strategies, milestones, dependencies, delivery frameworks, and risk mitigation plans.
• Translate business priorities into scalable technical programme roadmaps.

Technical Program Management:

• Partner closely with engineering, AI/ML, architecture, product, and data science teams to drive the successful execution of AI programmes.
• Drive end-to-end program delivery, including planning, execution, prioritisation, stakeholder communication, and governance.
• Coordinate multiple engineering squads and technical workstreams across AI platforms and enterprise systems.
• Manage technical dependencies, delivery timelines, escalation management, and release readiness.

AI / GenAI Platform Understanding:

• Strong understanding of large language models (LLMs), RAG pipelines, prompt orchestration, agentic AI and multi-agent systems, AI orchestration frameworks, and vector databases.
• Enterprise AI workflows and automation platforms.
• Collaborate with technical teams on APIs, integrations, architecture discussions, scalability, and platform readiness.
• Partner on AI governance, observability, reliability, compliance, and security initiatives.

Stakeholder and Executive Leadership:

• Work closely with executive leadership, Product, Engineering, Architecture, and business stakeholders to align AI initiatives with business goals.
• Drive programme governance, delivery reporting, KPIs, executive dashboards, and adoption tracking.
• Lead programme prioritisation, cross-functional alignment, and enterprise change management.
• Influence senior stakeholders and drive execution across distributed teams.

Team Leadership:

• Lead large cross-functional programme teams and enterprise AI delivery programmes.
• Mentor technical program managers and build strong TPM practices across the organisation.
• Drive operational excellence, agile execution, and programme maturity frameworks.

Requirements:

• 15-20 years of experience in technical program management/engineering program management/enterprise technology delivery.
• Strong experience managing large-scale enterprise technology programmes.
• Proven experience working with AI/ML or generative AI initiatives.
• Strong experience driving complex technical programmes involving engineering, product, architecture, and data teams.
• Excellent programme execution, stakeholder management, and executive communication skills.
• Experience managing multi-team dependencies, risks, escalations, and delivery governance.
• Strong analytical thinking, prioritisation, and execution mindset.

Preferred Skills:

• Generative AI / LLM ecosystems.
• OpenAI / Anthropic ecosystems.
• LangChain / LangGraph.
• AI orchestration frameworks.
• Cloud platforms (AWS / Azure / GCP).
• Enterprise SaaS platforms.
• Agile / SAFe program delivery frameworks.
• AI governance, observability, security, and compliance.

Skills

AI, GenAI, ML, TPM, engineering program management, enterprise technology delivery, generative AI, machine learning, technical program management