MS Dynamics 365 F&O Finance Consultant

KPMG UK
Newcastle upon Tyne
2 weeks ago
Create job alert

MS Dynamics 365 F&O Finance Consultant


The Microsoft Business Solutions (MBS) business unit at KPMG is looking for a Dynamics 365F&O Finance Consultants with experience across all phases of large-scale enterprise Dynamics 365F&O projects. With a hands-on approach and solid understanding of finance process and procedures combined with knowledge of interfacing and integration with Dynamics products.


A demonstrable history of consultancy experience is a must as this role will entail continuous interaction with clients and project teams working alongside both onshore and offshore development teams. This role will also require a level of presales activities focused around Dynamics F&O functionality and the wider Microsoft platform. You will also contribute to proposal development and provide input in business development whilst mentoring more junior staff.


This role is therefore key to KPMG Microsoft Business Solutions’ customer delivery of Microsoft Dynamics 365 Finance and Operations solutions. It is a dynamic and exciting opportunity to join a rapidly growing business area within an established and market-leading global Big 4 firm.


Responsibilities

– Involvement in full end-to-end implementations and all phases of project life cycle

– Involvement with D365FO interfaces and Integrations

– Ability to gather and document functional requirements and complete gap/fit analysis

– Ability to produce solution design and integration design documents, alongside development teams.

– Demonstrate awareness of scope (creep) and use of change control

– Delivery of end-user training to clients and colleagues

– Provide on-site support and assistance throughout delivery and go-live phases of project

– Have awareness of product roadmap and the content of future releases of D365FO

– Provide on-site support and assistance throughout delivery and go-live phases of project to client and more junior team members

– Involvement in responding to RFPs and RFQs

– Solves and advises on complex problems with creative solutions

– Knowledge of product roadmap and the content of future releases of D365FO in the finance area and demonstrate changes/additions to team members

– Awareness around upselling and understanding of additional company capabilities

– Partake in practice development activities

– Promotes the Values of our company

– Ensure timely completion of internal processes and mandatory training

– Have awareness of product roadmap and the content of future releases of D365FO

– Demonstrate awareness around upselling and company capabilities

– Carry out additional duties as may occur from time to time as instructed and agreed by Directors

– Represent KPMG MBS in a professional and positive manner at all times


Requirements

– Experience in consulting and very good presentation skills

– Ability to lead meetings and workshop, and confidently present to the C-Suite

– Minimum of 4 years Microsoft Dynamics 365 for Finance & Operations (D365FO) or AX2012 implementation experience including the following modules and areas

  • General Ledger
  • Accounts Receivable
  • Accounts Payable
  • Cash and Bank Management
  • Budgeting
  • Project Management and Accounting
  • Fixed Assets
  • Management Reporter

– Financial Consolidation and elimination experience

– Experience with electronic banking file and tax reporting needs

– Knowledge of Financial workflow and journal approval

– Multi-legal entries experience

– Multi-currency experience

– Experience with (D365FO) interfaces and Integrations

– Good understanding of Accounting processes, principles, functionality & systems

– Microsoft Dynamics certification in Finance, ideally most current version

– Solid Finance background (ACA/ACCA/CIMA part qualified; qualified is desirable but not essential)

– Beneficial to have experience of LCS and Azure DevOps

– Good MS Office skills (primarily Word, Excel, and PowerPoint; Visio is a plus)

Understanding of Power Platform capabilities and Business Intelligence (BI) is preferred


Soft Skills

– Exudes confidence

– Works independently as well as in a team environment

– Ability to manage others and lead more junior consultants for a successful outcome

– Acts with professional demeanour

– Manages time and multiple tasks accordingly

– Thinks clearly and calmly under pressure

– Solves complex problems with creative solutions

– Client centric approach with emphasis on client satisfaction

– Desires to constantly assess and incorporate new technologies and software into own skillset

– Promotes the Values of our company

– Confidence to reach out to more senior consultant for guidance

Related Jobs

View all jobs

MS Dynamics Developer

Business Analyst - Microsoft Dynamics

Financial Controller

Principal Operational Analyst

SQL Database Administrator (sql dba)Leicester /Hybrid

Enterprise Sales Director, UK & Europe (Basé à London)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.