At a Glance
- Tasks: Lead transformative data projects and innovate with AI solutions for diverse industries.
- Company: Join Capgemini Invent, a top-rated workplace known for creativity and collaboration.
- Benefits: Enjoy flexible working, wellbeing programmes, and opportunities for professional growth.
- Why this job: Make a real impact on clients' digital transformations while advancing your career.
- Qualifications: Proven consulting experience and strong leadership skills in data and AI.
- Other info: Be part of a dynamic team that values inclusion and innovation.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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 cuttingâedge solutions. Join us to drive transformation tailored to our clientâs challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purposeâbuilt technology.
Your Role
Join a dynamic and growing team of analytics and AI specialists united by a mission to deliver endâtoâend 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 enterpriseâlevel projects, 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 Câlevel 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, highâquality solutions.
- Fostering capability building: empowering teams through coaching, training, and mentoring to enhance organisational data and AI competencies.
Additional Opportunities
- 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 companyâs strategic focus.
Your Profile
Consulting Experience
- We are seeking a visionary leader with a blend of technical expertise, consulting acumen, and leadership skills.
- Proven success in a consulting or clientâfacing role, including the ability to design and deliver complex data and AI solutions and explain and own their impact.
- Significant experience managing senior stakeholders and acting as a trusted advisor.
- Demonstrated capability in agile methodologies, governance, and multiâworkstream leadership.
- Commercial acumen, including proposal writing, project financials, and business development.
- Ability to simplify the complex and tell a story to show outcomes as a product of business and technology transformation with data & AI.
Leadership and Coaching
- A track record of building highâperforming teams and mentoring senior professionals.
- A commitment to fostering inclusive, collaborative, and growthâoriented cultures.
Business Relationships
- Demonstrated ability to cultivate and sustain relationships with senior executives across various industries.
- Actively participates in industry networks owning your own relationships and building your profile externally.
- A passion that is contagious for your chosen industries.
Delivery Excellence
- Extensive experience in delivery ownership for analytics and AI programmes delivering with global teams and realizing commercial value.
Technical Mastery (a combination of the below, not all)
- 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, ModelâDriven, Automate, Dataverse, or Copilot Studio).
Desired Skills
- Experience in creating reusable assets to drive value with clients and creating âgoâtoâmarketâ strategies to successfully implement with clients.
- Experience with Agentic and Generative AI solutions in the Business Intelligence landscape.
- Agile SAFE or similar.
- Experience in data ingestion, integration, governance, and solution design.
- Familiarity with data quality frameworks, observability tools, and automation.
What Youâll 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 cuttingâedge projects that shape industries. Your leadership will make a tangible impact on clientsâ digital transformations while advancing your own career in a collaborative and inspiring environment.
We are delighted to have received the âGlassdoor Best Places to work UKâ accolade for 4 consecutive years, and we encourage you to visit our Glassdoor page to see what itâs like to work at Capgemini Invent.
Capgemini is committed to inclusion, flexible working arrangements, employee wellbeing and sustainable business practices. All UK employees are eligible to request flexible working and benefit from wellbeing programmes such as Thrive and Peppy. Capgemini has also been named one of the worldâs most ethical companies by the Ethisphere Institute for the 10th year.
Preferred office base: London, Manchester or Glasgow, but you must be fully flexible for assignment travel.
Remuneration includes a variable element dependent on grade and performance, along with flexible benefits options to suit your personal circumstances.
Senior Manager - Enterprise Data & Analytics - Analytics & Insights in Manchester employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Manager - Enterprise Data & Analytics - Analytics & Insights in Manchester
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and donât be shy about reaching out to folks on LinkedIn. We all know that sometimes itâs not just what you know, but who you know that can help you land that dream job.
â¨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with data platforms and AI solutions. Share specific examples of how you've driven transformation in past roles. We want to see your passion and expertise shine through!
â¨Prepare for the Interview
Do your homework before any interview! Research the company, understand their challenges, and think about how your skills can help them. We recommend practising common interview questions and preparing some insightful questions of your own to show you're genuinely interested.
â¨Apply Through Our Website
Donât forget to apply directly through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage with us directly. Letâs make it happen!
We think you need these skills to ace Senior Manager - Enterprise Data & Analytics - Analytics & Insights in Manchester
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Manager role. Highlight your experience in data transformation and analytics, and show how your skills align with what weâre looking for at Capgemini Invent.
Showcase Your Leadership Skills: We want to see your leadership style! Share examples of how you've built high-performing teams and mentored others. This is key for a role that involves managing multidisciplinary teams and fostering capability building.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity!
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for this exciting opportunity at Capgemini Invent.
How to prepare for a job interview at Capgemini Invent
â¨Know Your Data Inside Out
As a Senior Manager in Enterprise Data & Analytics, you need to be well-versed in the latest data platforms and AI solutions. Brush up on your knowledge of cloud data platforms like AWS, Azure, or GCP, and be ready to discuss how you've used these tools to drive business transformation.
â¨Showcase Your Leadership Skills
This role requires strong leadership and coaching abilities. Prepare examples of how you've built high-performing teams and mentored senior professionals. Be ready to share specific instances where your leadership made a tangible impact on project outcomes.
â¨Understand the Business Side
It's crucial to bridge the gap between technical capabilities and business goals. Familiarise yourself with commercial acumen, including proposal writing and project financials. Be prepared to discuss how your insights have influenced C-level stakeholders in previous roles.
â¨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about complex challenges you've faced in analytics and AI projects, and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.