Consultant

We are hiring Transformation Consultants across multiple levels to drive end-to-end digital transformation outcomes, from problem framing and solution design through delivery and adoption.

This role is intentionally cross-functional. You will work across business, experience, delivery, and change, partnering with clients and internal teams to turn complex problems into practical solutions. You will work on programmes where AI plays a critical role in reshaping business models, operating structures, workforce design, governance, and ways of working. You will partner with clients to translate emerging AI capabilities into practical, scalable, and responsible outcomes.

We operate in a modern delivery model where AI tools are embedded into how we think, design and deliver, accelerating insight generation, rapid prototyping, delivery execution, and adoption planning. This role requires strong learning agility, curiosity, and the ability to work effectively in ambiguity.

Depending on your level, you will be responsible for some or all of the following:

• Structure ambiguous client challenges into clear objectives and hypotheses
• Identify opportunities for transformation (e.g., redesign workflows and job roles in the AI-led era and explore opportunities beyond simple task automation)
• Define measurable outcomes, success metrics, and value hypotheses
• Synthesise insights from workshops, research, and data into recommendations

• Facilitate workshops and co-creation sessions with client stakeholders across all levels
• Develop process flows, journey maps, and solution concepts
• Rapidly prototype workflows, experiences, or service improvements to validate ideas early
• Use AI tools audaciously to accelerate design exploration, iteration, and documentation

• Translate business needs into implementable requirements and delivery plans
• Work with engineering, data, and platform teams to ensure feasibility
• Deliver outcomes through agile sprints and iterative releases
• Use AI tools to improve delivery speed, quality, and decision-making

• Support stakeholder engagement, communications, and training
• Design adoption plans and readiness activities
• Help clients build capability and embed new ways of working
• Support clients in adopting responsible AI practices, including governance and change readiness
• Ensure solutions are embedded sustainably in day-to-day operations

• Contribute to reusable templates, playbooks, and accelerators
• Share knowledge across teams and continuously improve delivery practices
• Stay current with emerging tech tools and methods that improve delivery speed and quality, applying them pragmatically to client outcomes
• Coach peers in modern delivery practices and tech-enabled ways of working

• Learning agility: able to learn quickly, adapt, and apply new tools and approaches
• Curiosity: actively explores new technologies and methods, asks better questions about the organisational implications of emerging technologies
• Systems thinking: the ability to connect technology, people, process, and governance
• Outcome orientation: focuses on measurable impact, not just deliverables
• Comfort with ambiguity: able to structure unclear problems into actionable work
• Strong communication: clear storytelling, stakeholder engagement, and facilitation

• Strong problem-solving and structured thinking
• Experience in transformation, operating model design, and/or organisational change
• Clear written and verbal communication
• Ability to collaborate across business and technology stakeholders
• Comfort working in ambiguity and adapting quickly
• Familiarity with AI concepts
• A bias toward action, learning, and continuous improvement

We expect consultants to be comfortable with:

• Using AI tools as part of daily work (analysis, synthesis, documentation, prototyping)
• Designing workflows that integrate human and AI decision-making
• Engaging technical teams on AI capabilities and constraints
• Evaluating where AI changes speed, scale, personalisation, or economics

Deep model development expertise is not required, but conceptual and practical fluency is.

• Experience in consulting, transformation, product, delivery, or change roles
• Familiarity with modern delivery methods (agile, iterative delivery, design thinking), digital platforms, and AI-enabled workflows is preferred