Technical Program Manager (UK), TWG Global AI, GB

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.

The Role:

As Technical Program Manager (TPM), you will own the end-to-end delivery of AI and data programs across TWG's businesses and enterprise customers. This is a bridge role turning strategy into clear roadmaps, coordinating across engineering, data, security, and business stakeholders, and ensuring that AI initiatives not only launch but also land with measurable impact. The TPM ensures that programs execute predictably, compliantly, and with business outcomes realized in production.

Responsibilities:

• Build and manage program plans for AI, data, and platform initiatives: scope, milestones, dependencies, and critical paths.
• Run execution rituals: standups, risk reviews, release planning, and readiness checks, keeping teams unblocked and on track.
• Translate strategy into roadmaps and OKRs, aligning leaders and external partners on priorities and tradeoffs.
• Ship secure, compliant AI products in regulated environments by partnering with Security, Legal, and Compliance.
• Manage vendors and partners (cloud, platform, AI vendors), ensuring deliverables and SLAs are met.
• Improve lifecycle reliability: establish SDLC and MLOps checkpoints, model promotion criteria, rollback plans, and observability.
• Deliver executive reporting: dashboards on schedule, budget, risk, value, and adoption.
• Drive change management and adoption: training, documentation, phased rollouts, and ROI tracking.
• Optimize cost and performance with Engineering and Finance through capacity and efficiency planning.
• Standardize templates, playbooks, and metrics that accelerate delivery across all AI programs.