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- Tasks: Lead data initiatives and manage a team of data professionals to drive impactful analytics projects.
- Company: Join Genpact, a leader in AI and digital innovation, shaping the future of work.
- Benefits: Gain hands-on experience, mentorship, and continuous learning opportunities in a dynamic environment.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Bachelor’s degree in a related field and experience in data analytics and modelling required.
- Other info: Thrive in a values-driven culture that encourages curiosity, courage, and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Inviting applications for the role of Manager, Data Analytics & Data Modelling! In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal candidate will have a strong foundation in data analytics, data science, and data modelling, as well as proven experience in building data models and managing data dictionaries and data lineage. This role also requires the ability to work strategically, collaborating with business stakeholders to deliver data-driven insights that influence key decisions.
Responsibilities
- Lead and manage a team of data professionals in executing complex analytics, modeling, and data science projects.
- Design, develop, and maintain scalable data models that support business intelligence, forecasting, and decision-making processes.
- Oversee implementation and governance of data lineage and data dictionary frameworks to ensure transparency, compliance, and data quality.
- Collaborate with cross-functional teams and senior stakeholders on strategic data projects, ensuring alignment with business goals.
- Provide thought leadership on data science methodologies and analytics best practices.
- Translate business requirements into technical solutions through advanced analytics and predictive modeling.
- Drive adoption of data-driven culture across the organization by delivering actionable insights and engaging storytelling through data visualizations.
- Manage data assets, ensuring proper documentation, security, and accessibility.
- Monitor performance of analytics solutions and models and refine based on business needs or new data availability.
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Relevant experience in data analytics, data science, and data modeling.
- Proven experience in building and maintaining enterprise-level data models.
- Strong working knowledge of data lineage and data dictionary management.
- Proficiency in SQL, Python, R, or other data science tools and frameworks.
- Experience leading data or analytics teams and mentoring junior staff.
- Strong communication and stakeholder management skills.
Skills
- Data Analytics
- Data Modelling
- Data Science
- Building of data models
- Implementation of strategic projects
- Experience in Data Visualization and Transformation
Preferred Qualifications / Skills
- Master’s degree in Data Science, Business Analytics, or related field.
- Experience working on strategic, cross-functional data initiatives with C-level stakeholders.
- Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake).
- Knowledge of data governance standards, regulatory compliance, and metadata management.
- Experience with BI and visualization tools such as Power BI, Tableau, or Looker.
- Certification in data science, analytics, or cloud technologies (e.g., Microsoft, AWS, Google).
Why Join Genpact?
- Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation.
- Make an impact – Drive change for global enterprises and solve business challenges that matter.
- Accelerate your career – Get hands‑on experience, mentorship, and continuous learning opportunities.
- Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day.
- Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness, built on a foundation of integrity and inclusion, allow your ideas to fuel progress.
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.
Manager- Data Analytics & Data Modelling in Glasgow employer: Genpact
Contact Detail:
Genpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager- Data Analytics & Data Modelling in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Manager- Data Analytics & Data Modelling in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Manager in Data Analytics & Data Modelling. Highlight your experience in data science, analytics, and any relevant projects you've led.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our mission at Genpact. Share specific examples of how you've driven change through data-driven insights in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, or any other data science tools. We want to see how you’ve applied these skills in real-world scenarios, especially in building data models and managing data governance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Genpact
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data analytics, data science, and data modelling. Be ready to discuss specific projects you've worked on, the tools you used (like SQL or Python), and how you tackled challenges. This will show that you're not just familiar with the concepts but have practical experience.
✨Showcase Your Leadership Skills
As a Manager in Data Analytics, you'll need to lead a team. Prepare examples of how you've successfully managed teams in the past, mentored junior staff, or collaborated with cross-functional teams. Highlight your ability to drive a data-driven culture and how you've influenced key decisions through your insights.
✨Align with Business Goals
Genpact is all about driving change and delivering value. Be prepared to discuss how your work in data analytics has aligned with business objectives in previous roles. Think about how you can translate complex data into actionable insights that support strategic initiatives.
✨Prepare for Technical Questions
Expect technical questions related to data lineage, data governance, and the tools mentioned in the job description. Brush up on your knowledge of cloud platforms like Azure or AWS, and be ready to explain how you've implemented data models or visualisation tools in your past work.
