Managing Consultant - Analytics & Insights
Listed on 2026-02-17
-
IT/Tech
Data Analyst, Data Science Manager, AI Engineer, Business Systems/ Tech Analyst
Firm
Capgemini Invent
LocationLondon, Manchester, Glasgow
BenefitsCompetive
Functional areas
Data Science
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. Super‑powered by creativity and design. All underpinned by technology created with purpose.
YOURROLE
Join a dynamic and growing team of analytics and AI specialists united by a mission to deliver end‑to‑end transformations that drive tangible business value. As an Analytics and Insights Managing Consultant you will own flagship projects, help shape enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.
In this role you will play a key role in:
- Leading & delivering End‑to‑End Data & Analytics Transformations:
Lead the strategic direction and execution of complex data and AI solutions, applying knowledge of scaled frameworks (e.g. Agile/SAFe) to ensure the successful deployment of cost‑effective, scalable analytics and BI solutions. - Designing & Optimising Data & AI Solutions:
Lead and collaborate with other technical experts on platform design, focusing on pipeline automation with big data and leveraging Gen AI tools to optimise performance through enterprise data platforms. - Delivering strategic advisory:
Act as a trusted advisor to C‑level stakeholders, providing insights that bridge the gap between technical capabilities and business goals. - Crafting compelling user experiences:
Drive the development of user‑centred design and storytelling to deliver impactful Gen AI/BI, Web App and data product interfaces, ensuring alignment with UI/UX design principles and UAT processes. - Managing Stakeholder and Project Delivery:
Work closely with stakeholders to govern project progress, and report to stakeholders and account lead on opportunities, risks, and budget management. - Fostering capability building:
Empower teams through coaching, training, and mentoring to enhance organisational data and AI competencies.
This role also provides opportunities to contribute to the broader business through:
- Business Development:
Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events. - Internal Initiatives:
Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development. - Learning & Development:
Enhancing skills through certifications, training, and personal career growth aligned with the company’s strategic focus.
We are seeking an ideal candidate with a blend of technical expertise, consulting acumen, and emerging leadership skills. The ideal candidate will demonstrate many of the following qualities:
- Currently working in a major Consulting firm or in industry with a Consulting background.
- Act as a trusted advisor to senior stakeholders and play a key role in designing and delivering complex data and AI solutions and articulating their impact.
- Demonstrate capability in agile methodologies, governance, and multi-workstream leadership.
- Commercial acumen, including proposal writing and project financials.
- Ability to simplify the complex and story‑tell to show outcomes as a product of business and technology transformation with data & AI.
- Experience leading large‑scale Agile delivery of complex data & AI programmes, with proven ability to deploy at enterprise‑level using frameworks such as SAFe, LeSS, or equivalent (Agile/SAFe certification desirable).
- Expert at embedding scaled Agile ways of working across multi-disciplinary teams, aligning product, data engineering, AI/ML, and business stakeholders to accelerate delivery, increase adaptability, and maximise value realisation.
- Expertise in designing and delivering enterprise data platforms, with hands‑on experience across…
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