Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Manager - Oracle EPM (Basé à London)

Jobleads
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Data Engineering

Senior IT Audit Leader - London (Data Analytics & Controls)

Senior Consultant, Data science & Marketing Effectiveness

Senior Consultant, Data Science & Marketing Effectiveness

Legal Data Analytics Manager

Senior Project Manager, Quantitative (Remote)

We're on the hunt for a Senior Manager - Oracle EPM expert with a passion for finance transformation to join our Corporate Services Transformation team in London. If you have experience in finance, HR, and procurement, and thrive in a dynamic, client-facing role, we'd love to hear from you!

Key Responsibilities:

  • Oversee client projects and manage day-to-day interactions.
  • Lead teams to success and motivate team members, driving their commitment and development.
  • Share your knowledge as a subject matter expert on broader team engagements.
  • Ensure our engagements are high-quality, efficient, and profitable.
  • Lead efforts to develop new business within your capability or client group.
  • Foster strong relationships both externally and internally.
  • Create compelling proposals that win new business.
  • Play a role in practice and risk management, thought leadership, and business development activities.
  • Continuously share your expertise and promote team development.

Qualifications:

  • Hands-on experience with 'powered' implementations.
  • Ability to develop business cases, with a preference for green book compliance.
  • Proven experience leading back office transformations, including finance, people and change management, organizational transformation, and shared services design.
  • Experience managing high-value engagements, including those with fees exceeding £500k.
  • Comfortable working with senior public sector officials or C-Suite executives in the private sector.
  • Advanced analytical ability and a keen eye for detail.
  • Strong problem-solving skills.
  • Excellent written and verbal communication skills.
  • Awareness of public sector requirements (e.g., Green Book business cases, capital and resource funding).
  • Knowledge of intelligent automation and business intelligence tools.
  • A formal qualification in your capability, such as being a chartered accountant in finance.

Offering up to £103,000 plus benefits.

If you're ready to take on the role of Senior Manager - Oracle EPM and make a significant impact, let's chat! We're excited to find someone who's ready to step into this role and help drive our success.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.