Change Management Consultant – Financial Transformation

Latent Bridge; England; Sur place; GBP 70 000 - 110 000; Plein temps

Résumé du poste

LatentBridge seeks a Finance Transformation Consultant to accelerate Generative AI adoption within Finance. You will work hands-on to identify opportunities, demonstrate AI applications (Copilot, ChatGPT, Claude), and deliver training and coaching to Finance teams.

The role blends business discussions with practical AI demos and stakeholder engagement. Based in Cheshire, UK, this on-site engagement focuses on adoption strategies, process improvement, and delivering measurable productivity gains

Qualifications

• 5–10 years of relevant professional experience across Finance, transformation, or AI adoption.

Responsabilités

• Finance AI Adoption & Enablement: identify opportunities and train Finance users.
• Finance AI Use Case Discovery: facilitate workshops and prioritize use cases.
• Prompt Engineering & Practical AI: develop reusable prompts and frameworks.
• Finance Transformation & Process Improvement: assesscurrent processes and drive AI-enabled changes.
• Change Management & Adoption: develop stakeholder engagement and adoption strategies.

Connaissances

Generative AI tools

Microsoft Copilot

ChatGPT/GPT

Claude

Training & enablement

Change management

Finance domain knowledge

Stakeholder engagement

Formation

Accounting qualification (ACA/ACCA/CIMA)

Outils

Microsoft Copilot

ChatGPT/GPT

Claude

Description du poste

Change Management Consultant – Financial Transformation

Cheshire, UK, United Kingdom | Posted on 11/06/2026

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise‑grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

Finance Transformation Consultant

Role Overview

We are seeking aFinance AI Adoption & Transformation Consultantto support the Finance function in accelerating the adoption of Generative AI and delivering measurable improvements in productivity,efficiencyand ways of working.

The successful candidate will bring a strong combination ofFinance domain understanding, hands‑on AI capability, training and enablement skills, and practical change management experience. They will work directly with Finance teams to understand their processes,identifyhigh‑value AI opportunities,demonstratepractical applications of tools such as Microsoft Copilot, ChatGPT/GPT and Claude, and help teams adopt new AI‑enabled ways of working.

This is ahands‑on consulting rolethat combines use‑case identification, AI enablement, training, processimprovementand change management. The ideal candidate will be comfortable moving between business discussions, practical AI demonstrations, usertrainingand stakeholder engagement.

Location

Cheshire, UK

Duration

Initially 8 weeks

Work Type

Onsite

Key Responsibilities

Finance AI Adoption & Enablement

• Work directly with Finance teams to understand their activities,challengesand productivity opportunities.
• Identifypractical opportunities where AI can improve Finance processes and user productivity.
• Demonstrate the application ofMicrosoft Copilot, ChatGPT/GPT, Claude and other relevant AI platformsto real Finance activities.
• Deliver practical training,workshopsand coaching sessions for Finance users.
• Develop practical exercises, guides, promptlibrariesand reusable AI resources.
• Coach users in applying AI effectively to their day‑to‑day responsibilities.
• Help teams move frominitialAI experimentation to repeatable and sustainable usage.
• Build confidence and capability in the effective use of AI across Finance.

Finance AI Use Case Discovery

• Facilitate discussions and discovery workshops with Finance stakeholders toidentifyAI opportunities.
• Understand Finance processes andidentifyopportunities for productivity improvement, processredesignand AI enablement.
• Translate business challenges into practical AI use cases.
• Assess and prioritise use cases based on business value, feasibility, userimpactand adoption potential.
• Develop practical roadmaps for high‑priority Finance AI opportunities.
• Support Proof of Value initiatives and helpdemonstratemeasurable business outcomes.
• Work with Digital, Data and Technology teams to ensure solutionsremainaligned with genuine Finance requirements.

Prompt Engineering & Practical AI

• Apply anddemonstrateeffective prompting techniques across Finance use cases.
• Develop reusable prompts and prompt frameworks for common Finance activities.
• Coach users on structuring context, instructions,dataand expected outputs.
• Demonstrate iterative prompting,refinementand output validation.
• Help users apply AI to activities including analysis, research, summarisation, reporting, documentation,draftingand knowledge management.
• Assess theappropriate applicationof different AI tools based on the business requirement.
• Promote responsible,secureand effective use of enterprise AI.

Finance Transformation & Process Improvement

• Understand current Finance processes andidentifyopportunities to improve efficiency,qualityand user experience.
• Apply Finance domain knowledge to assess processes critically andidentifywhere AI and process redesign can create value.
• Support transformation across areas such as:
• Record‑to‑report and financial close
• Reconciliations
• Accounts payable and accounts receivable
• Treasury and cash forecasting
• Financial reporting and analysis
• Help define AI‑enabled future ways of working.
• Support continuous improvement initiatives across Finance.

Change Management & Adoption

• Support the development and execution of practical change and adoption strategies for AI initiatives.
• Identifythe people, process and behavioural impacts associated with introducing AI into Finance.
• Develop stakeholder engagement and communication approaches.
• Identifypotential adoption barriers and work with stakeholders to address them.
• Help Finance teams understand the benefits and practical implications of new AI‑enabled ways of working.
• Engage with users throughout the adoption journey and incorporate feedback into the approach.
• Monitor adoption andidentifyopportunities to strengthen engagement and usage.
• Help embed successful AI practices into everyday Finance operations.

Stakeholder Engagement

• Build strong working relationships with Finance leaders, processownersand users.
• Engage effectively with senior Finance stakeholders whileremainingclosely connectedto operational teams.
• Communicate AI concepts clearly to technical and non‑technical audiences.
• Facilitate collaboration between Finance, Technology, Data and Transformation teams.
• Present use cases,recommendationsand business opportunities in a clear and structured manner.
• Define practical measures for AI adoption,productivityand business impact.
• Track progress across AI use cases and adoption initiatives.
• Capture user feedback and lessons learned.
• Identifyopportunities to scale successful use cases.
• Support the development of longer‑term AI adoption and Finance transformation roadmaps.

Required Experience

• 5–10 years of relevant professional experienceacross Finance, Finance transformation, business transformation, consulting, AI adoption, change management or related areas.
• Strong understanding of Finance processes and the ability to engage confidently with Finance professionals.
• Hands‑on experience withGenerative AI tools, particularly Microsoft Copilot, ChatGPT/GPT and/or Claude.
• Practical knowledge of prompt engineering and effective prompting techniques.
• Experience delivering training, workshops, coachingor business enablement.
• Experience supporting organisational change, useradoptionor transformation initiatives.
• Demonstrated ability toidentifybusiness opportunities and translate them into practical AI use cases.
• Strong stakeholder engagement, facilitationand communication skills.
• Ability to work directly with business users and senior stakeholders.
• Strong analytical and problem‑solving capabilities.
• A practical,hands‑onand collaborative approach to technology adoption.

Finance Domain Capability

Candidates should have a strong working understanding of Finance operations and be able to engage meaningfully with Finance stakeholders.

Relevant experience may include:

• Record‑to‑report and financial close
• Reconciliations
• Accounts payable and accounts receivable
• Treasury and cash forecasting
• Financial reporting and analysis
• Working capital and liquidity management

professional accounting qualification such as ACA, ACCA,CIMAor equivalent would be highlyadvantageousbut is not essential.

Candidates without a formal accounting qualification will also be considered where theydemonstratestrong practical Finance knowledge and the ability to understand, challenge and improve Finance processes.

Experience in commodity or asset-intensive environments, including inventory and working‑capital management, hedging, duty/excise, borrowing‑base arrangements or covenant reporting, would be an advantage.

AI & Technology Capability

• Candidates shoulddemonstratepractical, hands‑on capabilityacross:
• Generative AI
• ChatGPT / GPT
• Prompt engineering and prompt optimisation
• AI-assisted business workflows
• AI use‑case identification
• AI training and user enablement
• Responsible and secure AI usage
• AI output validation and quality assessment

Software development or AI engineering experience is notrequired. The focus is on understanding how AI can be applied to Finance,identifyingvaluable opportunities, enablingusersand supporting sustainable adoption.

Preferred Industry Experience

Experience in one or more of the following sectors would beadvantageous: