Change Management Consultant – Financial Transformation in England

Change Management Consultant – Financial Transformation in England

England Temporary 45000 - 55000 £ / year (est.) On-site
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At a Glance

  • Tasks: Help Finance teams adopt AI tools and improve productivity through hands-on training and support.
  • Company: Join a forward-thinking consultancy focused on financial transformation and AI integration.
  • Benefits: Gain valuable experience in AI adoption, competitive pay, and opportunities for professional growth.
  • Other info: Dynamic role with potential for long-term career development in a rapidly evolving field.
  • Why this job: Be at the forefront of AI in Finance, making a real impact on how businesses operate.
  • Qualifications: Experience in Finance and familiarity with AI tools like ChatGPT and Microsoft Copilot.

The predicted salary is between 45000 - 55000 £ per year.

Job Description

Finance Transformation Consultant

Role Overview

We are seeking a

Finance AI Adoption & Transformation Consultant to support the Finance function in accelerating the adoption of Generative AI and delivering measurable improvements in productivity, efficiency and ways of working.

The successful candidate will bring a strong combination of

Finance 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, identify high-value AI opportunities, demonstrate practical applications of tools such as Microsoft Copilot, Chat GPT/GPT and Claude, and help teams adopt new AI-enabled ways of working.

This is a hands‑on consulting role that combines use‑case identification, AI enablement, training, process improvement and change management.

The ideal candidate will be comfortable moving between business discussions, practical AI demonstrations, user training and 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, challenges and productivity opportunities.
  • Identify practical opportunities where AI can improve Finance processes and user productivity.
  • Demonstrate the application of

Microsoft Copilot, Chat GPT/GPT, Claude and other relevant AI platforms to real Finance activities.

  • Deliver practical training, workshops and coaching sessions for Finance users.
  • Develop practical exercises, guides, prompt libraries and reusable AI resources.
  • Coach users in applying AI effectively to their day‑to‑day responsibilities.
  • Help teams move from initial AI 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 to identify AI opportunities.
  • Understand Finance processes and identify opportunities for productivity improvement, process redesign and AI enablement.
  • Translate business challenges into practical AI use cases.
  • Assess and prioritise use cases based on business value, feasibility, user impact and adoption potential.
  • Develop practical roadmaps for high-priority Finance AI opportunities.
  • Support Proof of Value initiatives and help demonstrate measurable business outcomes.
  • Work with Digital, Data and Technology teams to ensure solutions remain aligned with genuine Finance requirements.
  • Prompt Engineering & Practical AI
  • Apply and demonstrate effective prompting techniques across Finance use cases.
  • Develop reusable prompts and prompt frameworks for common Finance activities.
  • Coach users on structuring context, instructions, data and expected outputs.
  • Demonstrate iterative prompting, refinement and output validation.
  • Help users apply AI to activities including analysis, research, summarisation, reporting, documentation, drafting and knowledge management.
  • Assess the appropriate application of different AI tools based on the business requirement.
  • Promote responsible, secure and effective use of enterprise AI.
  • Finance Transformation & Process Improvement
  • Understand current Finance processes and identify opportunities to improve efficiency, quality and user experience.
  • Apply Finance domain knowledge to assess processes critically and identify where 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 controls
  • 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.
  • Identify the people, process and behavioural impacts associated with introducing AI into Finance.
  • Develop stakeholder engagement and communication approaches.
  • Identify potential 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 and identify opportunities to strengthen engagement and usage.
  • Help embed successful AI practices into everyday Finance operations.
  • Stakeholder Engagement
  • Build strong working relationships with Finance leaders, process owners and users.
  • Engage effectively with senior Finance stakeholders while remaining closely connected to operational teams.
  • Communicate AI concepts clearly to technical and non-technical audiences.
  • Facilitate collaboration between Finance, Technology, Data and Transformation teams.
  • Present use cases, recommendations and business opportunities in a clear and structured manner.
  • Adoption & Value Realisation
  • Define practical measures for AI adoption, productivity and business impact.
  • Track progress across AI use cases and adoption initiatives.
  • Capture user feedback and lessons learned.
  • Identify opportunities 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 experience across 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 with
  • Generative AI tools

, particularly Microsoft Copilot, Chat GPT/GPT and/or Claude.

  • Practical knowledge of prompt engineering and effective prompting techniques.
  • Experience delivering training, workshops, coaching or business enablement.
  • Experience supporting organisational change, user adoption or transformation initiatives.
  • Demonstrated ability to identify business opportunities and translate them into practical AI use cases.
  • Strong stakeholder engagement, facilitation and communication skills.
  • Ability to work directly with business users and senior stakeholders.
  • Strong analytical and problem‑solving capabilities.
  • A practical, hands‑on and 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 controls
  • Financial reporting and analysis
  • Working capital and liquidity management

A professional accounting qualification such as ACA, ACCA, CIMA or equivalent would be highly advantageous but is not essential

Candidates without a formal accounting qualification will also be considered where they demonstrate strong 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 should demonstrate practical, hands‑on capability across

  • Generative AI
  • Microsoft Copilot
  • Chat GPT / GPT
  • Claude
  • Prompt engineering and prompt optimisation
  • AI‑assisted business workflows
  • AI use‑case identification
  • AI training and user enablement
  • AI adoption strategies
  • Responsible and secure AI usage
  • AI output validation and quality assessment

Software development or AI engineering experience is not required.

The focus is on understanding how AI can be applied to Finance, identifying valuable opportunities, enabling users and supporting sustainable adoption.

  • Preferred Industry Experience
  • Experience in one or more of the following sectors would be advantageous:
  • Energy
  • Oil & Gas
  • Manufacturing
  • Utilities

Change Management Consultant – Financial Transformation in England employer: LatentBridge

Join our innovative team as a Lead Data Engineer, where you'll have the opportunity to shape the future of data engineering in a collaborative and dynamic environment. We prioritise employee growth through mentorship and continuous learning, ensuring you stay at the forefront of AI and data technologies. Located in a vibrant area, we offer a supportive work culture that values creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding careers.

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Contact Details:

LatentBridge Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Change Management Consultant – Financial Transformation in England

✨Tap into Consulting Networks

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✨Show Off Your Skills in Real-Time

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✨Leverage University and Alumni Resources

If you’re fresh out of uni or connected with a local institution, take advantage of their career services and alumni networks. Many universities have exclusive connections to consulting firms seeking temporary help. Plus, it’s a great way to meet other aspiring consultants who might share leads about opportunities at LatentBridge.

We think you need these skills to ace Change Management Consultant – Financial Transformation in England

Finance Domain Understanding
Generative AI Capability
Microsoft Copilot
ChatGPT/GPT
Claude
Prompt Engineering
Training and Enablement Skills

Some tips for your application 🫡

Showcase Your Analytical Skills:In management consulting, employers love to see your problem-solving abilities right from the get-go. Be sure to highlight any relevant analytical projects you've worked on, particularly those that show how you tackled complex problems. If you’ve done any case studies or analysis during your studies, throw those in your CV!

Tailor Your Experience for the Role:Since this is a temporary position, your application should reflect your adaptability and relevant experience quite clearly. Focus on showcasing experiences that demonstrate your ability to hit the ground running, like previous projects, internships, or freelance gigs in consulting or project management.

Craft a Targeted Cover Letter:Your cover letter is your chance to sparkle! Use it to explain why you're interested in this temporary role at LatentBridge and how your skills suit the specific project needs. Remember to mention how you can provide immediate value based on your past experiences.

Include Certifications or Relevant Training:If you've got any certifications like PMP, Six Sigma, or even coursework that’s super relevant, make sure to list those in your application. Management consulting can be competitive, and these extra qualifications can help you stand out in the recruitment process.

How to prepare for a job interview at LatentBridge

✨Prepare for Case Studies

In management consulting, case study interviews are a big deal. Expect to tackle real-world business problems on the spot. We should practise structuring our thoughts, developing hypotheses, and presenting our solutions clearly, as this is what firms like LatentBridge will want to see.

✨Show Off Your Problem-Solving Skills

You’ll need to demonstrate strong analytical skills and logical reasoning. Brush up on frameworks like SWOT or Porter's Five Forces, as these can come in handy. Think of instances from your experience where you tackled a complex issue—this could set you apart when speaking to LatentBridge.

✨Highlight Your Adaptability

Since this is a temporary role, it's crucial we showcase our ability to hit the ground running. Have examples ready that illustrate how we've adapted quickly in past positions or projects. This shows that we can contribute effectively from day one at LatentBridge.

✨Be Ready to Discuss Cultural Fit

Temporary roles often come with a focus on team dynamics. Prepare to discuss how we align with the values and culture at LatentBridge. We want to highlight our teamwork experiences and how we can mesh with their consulting teams, making it clear that we're not just looking to fill a spot but to add value.