Managing Consultant - Supply Chain Analytics
Listed on 2026-01-19
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Managing Consultant - Supply Chain Analytics CAPGEMINI INVENT
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
YOURROLE
As a Managing Consultant - Supply Chain Analytics, you will lead strategic transformation initiatives with a strong focus on leveraging data and analytics to optimise supply chain performance. You will work with clients to enhance demand and supply planning, forecasting, logistics, procurement, and inventory management by applying advanced analytical techniques, digital tools, and data‑driven insights that drive measurable business outcomes.
This role involves working closely with clients and internal stakeholders to translate complex supply chain challenges into robust solutions that drive measurable impact.
As a valued Managing Consultant in our Operational Analytics team, you will be involved in the following:
Data‑Driven Supply Chain Strategy- Use data analytics to assess current supply chain performance and identify inefficiencies across planning, sourcing, logistics, and fulfilment.
- Develop and implement data‑informed strategies to improve service levels, reduce costs, and increase supply chain agility.
- Translate complex data into actionable insights and strategic recommendations for senior stakeholders.
- Support clients in building robust demand forecasting and supply planning models using historical data, market trends, and predictive analytics.
- Enhance S&OP processes through data visualization, simulation, scenario modelling, and KPI tracking.
- Analyse supplier performance, spend patterns, and risk exposure to inform sourcing strategies and contract negotiations.
- Develop dashboards and scorecards to monitor supplier KPIs and procurement efficiency.
- Use data to optimise transportation routes, warehouse operations, and distribution networks.
- Apply geospatial and cost‑to‑serve analytics to improve delivery performance and reduce logistics costs.
- Implement and configure analytics platforms (e.g., Power BI, Tableau, Alteryx) to enable real‑time visibility and decision‑making.
- Work with ERP and supply chain systems (e.g., SAP, Oracle, Kinaxis, Blue Yonder) to extract and integrate data for analysis.
- Advise clients on the application of leading‑edge technologies, such as Generative and Agentic AI, and their benefits.
- Lead cross‑functional teams to deliver analytics‑enabled supply chain transformation projects.
- Facilitate workshops and training sessions to build client capabilities in data & AI literacy, and supply chain analytics.
Your ideas matter. We’re looking for dynamic individuals with the vision and energy to drive meaningful change for our clients and within our organisation. As part of your role, you will take ownership of projects in the following areas:
- Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
- Internal contribution – Campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
- Learning & development – Training to support your career development and meet evolving skill demands within the company.
You should have a skillset that combines rigorous thinking, creativity, and thoughtful leadership.
Below are some of the key skills and experiences we look for in candidates – however we don’t expect you to hit all of them, we want to build a team which has a diversity of experiences. We look for:
- A Bachelor’s or Master’s degree in Engineering, Supply Chain, Operations Research, Computer Science, Applied Mathematics, or a related field.
- Proven experience in Supply Chain projects, including:
Assessing…
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