Senior Manager - Enterprise Data & Analytics

Capgemini
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Compensation Benefits

Senior Manager Data Strategy and Insights

Exhibition Sales Account Manager

Sales Manager

Sponsorship Sales Manager

Senior Commercial Executive - German

Senior Manager - Enterprise Data & Analytics

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.

Your Role

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 Senior Manager you will own flagship projects, lead enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.

You will be responsible for:

  • Shaping and executing enterprise data transformation: Driving enterprise-level transformation projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions.
  • Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries.
  • Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap between technical capabilities and business goals.
  • Portfolio and account management: Overseeing diverse project portfolios, managing commercial outcomes, and fostering strong client relationships to ensure sustainable growth.
  • Scaling delivery: Leading multidisciplinary teams in agile and lean environments, ensuring timely delivery of impactful, high-quality solutions.
  • Fostering capability building: Empowering 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.

Your Profile

We are seeking a visionary leader with a blend of technical expertise, consulting acumen, and leadership skills. The ideal candidate will demonstrate most or all of the following:

Technical Mastery:

  • Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake).
  • Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications.
  • Strong knowledge of generative AI tools, geospatial analytics, and data modelling.
  • Expertise in Power Platform and Apps components (e.g. Power Apps, Canvas, Model Driven, Automate, Dataverse, or Copilot Studio)

Consulting Experience:

  • Proven success in a consulting or client-facing role, including the ability to design and deliver complex data and AI solutions.
  • Significant experience managing senior stakeholders and acting as a trusted advisor.
  • Demonstrated capability in agile methodologies, governance, and multi-workstream leadership.
  • Commercial acumen, including proposal writing, project financials, and business development.

Leadership and Coaching:

  • A track record of building high-performing teams and mentoring senior professionals.
  • A commitment to fostering inclusive, collaborative, and growth-oriented cultures.

Business Relationships:

  • Demonstrated ability to cultivate and sustain relationships with senior executives across various industries.

Delivery Excellence:

  • Extensive experience in delivery assurance for analytics and AI programmes.

Desired Skills:

  • Experience in data ingestion, integration, governance, and solution design.
  • Familiarity with data quality frameworks, observability tools, and automation.

WHAT YOU’LL LOVE ABOUT WORKING HERE?

As a Senior Manager, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting-edge projects that shape industries. Your leadership will make a tangible impact on clients’ digital transformations while advancing your own career in a collaborative and inspiring environment.

NEED TO KNOW

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

About Capgemini Invent

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.