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

Nominate & Attend

Planning Manager

Twickenham
3 weeks ago
Create job alert

The Planning Manager has strong background in Production Planning, and leads the planning function across multiple complex production lines. This role is critical in ensuring efficient production scheduling, material availability, and alignment with demand signals.

Client Details

Global Indutrial Manufacturing Company with +100 years in the market.

Description

Production Planning:

Develop and manage detailed production plans across multiple production lines, ensuring optimal resource utilisation and output efficiency.
Monitor daily, weekly, and monthly production schedules, adjusting for demand shifts, resource constraints, and line capacity.
Collaborate with Manufacturing, Maintenance, and Quality to minimise downtime and proactively resolve bottlenecks.
Lead capacity planning and production sequencing to support cost-effective operations and meet service level agreements.Supply Planning:

Convert production plans into raw and packaging material requirements.
Coordinate with Procurement and Warehousing to ensure timely availability of materials.
Maintain optimal inventory levels aligned with production forecasts and lead times.Demand Planning & S&OP:

Collaborate with Commercial, Sales, and Finance to build reliable demand forecasts.
Lead the S&OP process, ensuring supply capabilities are balanced with market requirements.
Translate demand plans into actionable production and supply strategies.Continuous Improvement & Compliance:

Identify and drive continuous improvement initiatives across the production planning process to improve efficiency and reduce costs.
Apply Lean Manufacturing principles and methodologies to optimise planning and production workflows.
Ensure full audit compliance in planning and scheduling processes with robust documentation and traceability.Data Analytics & Systems:

Build and maintain planning models, reports, and dashboards using Excel, SQL, and BI tools (e.g., Power BI, Tableau).
Analyse large production and inventory data sets to identify trends, risks, and opportunitiesProfile

Bachelor's degree in Supply Chain, Engineering, Manufacturing, Operations Management, or a related field.
Minimum 5-7 years of experience in Production Planning, with proven success in multi-line, high-complexity manufacturing environments.
Strong experience in Supply and Demand Planning, with participation in S&OP cycles.
Demonstrated ability to manage planning for multiple concurrent production lines with differing capacities, product mixes, and changeover requirements.
Advanced Microsoft Excel (Power Query, Pivot Tables, VBA).
Strong SQL skills for working with production and inventory data.
Experience with large databases and BI tools (Power BI, Tableau).
Proficient in ERP/MRP systems (e.g., M3, SAP, Oracle, NetSuite).
Experience with production scheduling software or planning modules is a plus.Job Offer

Competitive Salary Package.
Career Progression

Related Jobs

View all jobs

Planning Manager

Demand Planning Manager

Senior Logistics Capacity Manager

Logistics Analysts x 2

Lead Management, CX and Digital Communications Data Analyst Apprentice

Master 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.