EPM Lead

Milton Keynes
1 month ago
Applications closed

Related Jobs

View all jobs

Oracle EPM Solution Architect (Big 4 Consultancy)

Oracle EPM Solution Architect (Big 4 Consultancy)

Oracle EPM Solution Architect (Big 4 Consultancy)

We’re supporting a major finance transformation programme for a large, complex organisation undergoing significant change. As part of this programme, we're looking for an experienced EPM Lead to lead the development of budgeting, forecasting, planning, and reporting capabilities within a newly implemented finance system.

This is a critical role driving the future of financial planning and performance reporting across multiple departments, with a focus on data integrity, system design, and user engagement.

Key Responsibilities:

  • Lead on the design and implementation of Oracle Cloud EPM modules (FP&A, FCCS), supporting planning, budgeting, forecasting, and financial reporting.

  • Manage and maintain data integrity within the EPM system to ensure accurate and insightful reporting.

  • Collaborate with System Integrators to translate business requirements into technical configurations, ensuring end-to-end alignment with strategic goals.

  • Act as the voice of the end user throughout the transformation programme, ensuring system capabilities meet operational needs.

  • Build and manage reporting dashboards and KPIs to support strategic decision-making.

  • Engage and manage stakeholders across diverse departments, communicating change effectively and leading engagement sessions.

  • Contribute to the governance and oversight of the programme, ensuring change management is embedded in all aspects of delivery.

    Experience Required:

  • Strong background in financial reporting and planning within a large and complex organisation.

  • Deep understanding of Oracle Cloud EPM solutions, including hands-on experience with planning and consolidation modules.

  • Experience implementing financial systems and leading systems-based finance projects.

  • Skilled in analysing and working with large, complex financial data sets.

  • Proven ability to work with external consultancies, System Integrators, and internal stakeholders.

  • Excellent stakeholder management skills and a track record of effective cross-functional collaboration.

  • Strong working knowledge of UK financial reporting standards and sector-specific reporting frameworks is desirable.

    Qualifications:

  • Fully qualified accountant (ACCA, CIMA, or equivalent)

  • Educated to degree level or equivalent experience

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.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.