AI Transformation Lead

The AI Transformation Lead joins the Gen-e2 Pilots & Transformation team to help clients turn AI ambition into lasting organisational change. The role involves shaping transformation roadmaps, aligning stakeholders, guiding teams through new ways of working, and ensuring AI initiatives deliver measurable business value.

Responsibilities

Lead or co-lead AI pilot and transformation programs end-to-end: scoping, delivery, measurement, iterating and pivoting; Work embedded in client delivery teams, coaching engineers, product owners, business analysts and delivery leads on AI-augmented product discovery and delivery practices; Identify and track meaningful metrics (productivity uplift, backlog quality, cycle time); Lead the discovery work that opens an engagement: assess the client's current SDLC and constraints, appetite for change and select real use cases from their backlog; Design and facilitate the development of transformation roadmaps for clients, sequencing capability building, tooling adoption, and organisational change across waves; Support the setup and operationalisation of client AI Centre of Excellence (CoE): governance models, ways of working, role definitions, and capability frameworks; Collaborate with PALO IT practice leads to evolve the methodology based on field learnings; Co-design and build AI toolchains with Gen-e2 Engineers (agentic workflows, MCP integrations, AI-assisted SDLC pipelines) deployed in real client environments; Architect multi-agent systems and automation across the delivery lifecycle (backlog refinement, code generation, test automation, impact analysis); Evaluate and integrate emerging AI tooling (models, frameworks, IDEs, orchestration layers) into structured delivery patterns; Participate in client discovery and proposal work, contributing technical credibility and realistic scoping; Help shape AI capability assessments, pilot proposals, and transformation roadmaps; Write articles, case studies, or technical posts on PALO IT's point of view on AI-augmented delivery and the Gen-e2 methodology; Speak at industry events, conferences, and client forums; Contribute to PALO IT's external presence on LinkedIn and other channels; Help develop frameworks, whitepapers, or playbooks that advance the practice internally and build credibility externally

Requirements

Familiarity with the modern AI tooling ecosystem (coding assistants, MCP servers, agent frameworks); Hands-on experience with AI-augmented SDLC; Stakeholder management; Facilitation and training; Change management / transformation (roadmapping, KPIs...); Ability to communicate technical concepts clearly to non-technical stakeholders; Comfort operating in ambiguous, fast-moving client environments; Working knowledge of Agile, Lean, and Systems Thinking principles

Nice to have

Experience in agile/software delivery consulting or a similar advisory context; Exposure to pre-sales, RFP responses, or client proposal work; Background in financial services, government, or regulated industries; Familiarity with Agile frameworks and practices

Benefits

Stimulating working environments; Unique career path; International mobility; Internal R&D projects; Knowledge sharing; Personalized training; Entrepreneurship & intrapreneurship