CAF Ecosystem and Operations Manager at IAG Transform | England, GB | Rezi

CAF Ecosystem and Operations Manager at IAG Transform

CAF Ecosystem and Operations Manager

IAG Transform · England, GB

1 months ago

CAF Ecosystem and Operations Manager

IAG Transform · England, GB

a month ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group’s Cognitive Automation Factory. This role ensures the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering significant business benefits through applied AI and automation.

Responsibilities

  • Lead the operational performance of the Cognitive Automation Factory across the Group.
  • Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks.
  • Ensure predictable, high-quality delivery across multiple concurrent programmes and products.
  • Own delivery economics, capacity planning, utilisation, and multi-shore optimisation.
  • Ensure all AI and automation initiatives are anchored in measurable business value.
  • Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement).
  • Act as a senior escalation point for underperforming initiatives.
  • Partner with Finance and OpCo stakeholders to validate tangible benefits delivered.
  • Lead and optimise a blended ecosystem of strategic partners and internal engineering squads.
  • Manage commercial performance, contractual KPIs, and delivery standards.
  • Ensure knowledge transfer and capability uplift within the internal team.
  • Maintain a competitive, scalable, and innovation-led partner model.
  • Provide senior oversight across the automation and AI technology stack, including RPA platforms, AWS-based cloud-native architectures, Agentic AI frameworks, Large Language Models, Orchestration frameworks, Document AI and extraction, EVAL frameworks, and Observability, monitoring and guardrails for AI agents.
  • Ensure scalable, secure, compliant and production-grade solutions.
  • Champion best practices in AI governance, risk management, and model lifecycle management.
  • Engage senior leaders across operating companies at Director and C-level.
  • Translate AI and automation capabilities into business language.
  • Influence prioritisation decisions and roadmap alignment across the Group.
  • Represent the CAF in senior governance forums.
  • Build and mentor high-performing automation and AI delivery leaders.
  • Establish clear career paths and succession planning within the CAF.
  • Foster a culture of engineering excellence, accountability, and measurable impact.
  • Drive continuous capability uplift across RPA, AI, and agentic systems.

Requirements

  • 12+ years’ experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes.
  • Proven track record of delivering significant, tangible business benefits through applied AI and automation.
  • Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners.
  • Experience operating at senior stakeholder level (Director/C-level engagement).
  • Strong commercial acumen, including budget ownership and benefits tracking.
  • Sufficient technical depth to challenge architects and engineers credibly.
  • Experience within aviation, transportation, logistics, or other complex operational industries (Desirable).
  • Experience scaling an AI or automation factory model (Desirable).
  • Exposure to regulated environments (Desirable).
  • Knowledge of EU AI Act and enterprise AI governance frameworks (Desirable).

Skills

  • RPA platforms (e.g., UiPath, Power Automate)
  • AWS-based cloud-native architectures
  • Agentic AI frameworks (Agent Core, LangChain, LangGraph)
  • Large Language Models (multi-model strategy)
  • Orchestration frameworks and event-driven architectures
  • Document AI and extraction (e.g., Berdock)
  • EVAL frameworks and LLM evaluation methodologies
  • Observability, monitoring and guardrails for AI agents
  • Strategic thinking
  • Operational discipline
  • Commercial acumen
  • Data-driven approach
  • Outcome-oriented mindset

Location

  • Multiple locations

Work Type

  • Full-time

Experience Level

  • Senior leadership
  • 12+ years experience
  • 7+ years leading large-scale automation or AI programmes

Benefits

  • Health insurance
  • Pension
  • Performance bonuses
  • Support for work/life balance

About the Company

  • We are part of International Airlines Group (IAG), one of the world’s leading airline groups and owner of some of the biggest brands in the sky.
  • IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG.
  • Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale.

Equal Opportunity

  • We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.