National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Demand Planning Manager

Banbury
1 day ago
Create job alert

We are seeking a data-driven and strategic Demand Planning Manager to lead our demand forecasting and S&OP processes. This role is critical in aligning cross-functional teams and ensuring that demand plans reflect commercial strategies, market realities, and supply capabilities. You will be responsible for creating robust demand forecasts, facilitating the monthly S&OP cycle, and helping the business make informed, data-backed decisions.

Key Responsibilities

Demand Forecasting & Planning

Develop and maintain a 18-24 month rolling demand forecast at SKU, channel, and customer level using a mix of statistical tools, historical data, and business inputs.

Analyze sales trends, seasonality, customer demand patterns, POS data, and marketing activities to inform forecast assumptions.

Track and improve forecast accuracy using metrics such as MAPE, BIAS, and forecast vs. actual variances.

Sales & Operations Planning (S&OP)

Own and facilitate the monthly S&OP process, ensuring alignment between Demand, Supply, Sales, Marketing, and Finance.

Lead Demand Review meetings, preparing key inputs, scenario planning, and insights that support volume and financial alignment.

Drive consensus across functions on demand plans, forecast risks and opportunities, and supply constraints.

Translate business strategy into demand plans that support financial objectives, production planning, and inventory goals.

Monitor execution of S&OP decisions and identify gaps, escalations, or mitigation actions.

Cross-Functional Collaboration

Partner with Sales and Marketing to incorporate promotional plans, new product launches, and customer feedback into the forecast.

Work closely with Supply Planning, Operations, and Inventory teams to ensure capacity and supply plans align with demand projections.

Collaborate with Finance to ensure volume plans align with budget and forecast cycles.

Inventory & Supply Chain Alignment

Optimize inventory across channels by balancing supply and demand, avoiding both stockouts and excess.

Analyze root causes of forecast errors or service issues and recommend continuous improvement actions.

Support end-to-end visibility and agility in the supply chain by communicating forecast shifts and trends in real time.

Analytics, Reporting & Continuous Improvement

Build and maintain reporting dashboards to visualize key forecast and S&OP metrics.

Conduct post-mortems on forecast performance and apply learnings to future cycles.

Drive continuous improvement of demand planning processes and tools, including automation and advanced analytics.

Required Qualifications

Bachelor's degree in Supply Chain, Business, Analytics, Economics, or related field; MBA or Master's preferred.

5+ years of experience in demand planning, forecasting, or supply chain within a consumer brand or CPG environment.

Proven experience leading or co-owning an S&OP process.

Strong analytical mindset with the ability to interpret large datasets and convert them into actionable insights.

Proficiency with forecasting tools (e.g., SAP IBP, Oracle Demantra, NetSuite), ERP systems, and advanced Excel.

Excellent communication and stakeholder management skills.

Ability to thrive in a fast-paced, dynamic business with competing priorities.

Preferred Qualifications

APICS, IBF, or S&OP certification (e.g., CPIM, CSCP, CPF, or CLTD).

Experience working in omnichannel environments (eCommerce, wholesale, retail).

Familiarity with data visualization tools like Power BI or Tableau.

Exposure to global or regional planning across markets.

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

Related Jobs

View all jobs

Senior Merchandiser

EMEA FP&A Manager

Forecasting Demand Planner

Technical Development Lead - Decarbonisation and Energy

Registered Manager

Senior Space Planner

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.