At a Glance
- Tasks: Lead the development of high-value data products and ensure data governance.
- Company: Join a global FMCG leader with 25,000 employees and an inclusive culture.
- Benefits: Competitive salary, bonus scheme, and inspiring work environment.
- Other info: Be part of a diverse team committed to innovation and growth.
- Why this job: Shape how data drives business success and make a real impact.
- Qualifications: Experience in IT, data, or related fields with strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Join an inclusive, innovative global FMCG business supported by 25,000 employees and play a key role in shaping how data drives business success. As Data Product Lead, you will define and deliver high-value data products for your domain, ensuring data is trusted, well-governed, and aligned to business needs. Working closely with Data & AI leaders, architects, and business stakeholders, you will help enable analytics, AI, and better decision-making across the enterprise.
Principle Accountabilities
- Define and maintain the domain data product strategy, standards, and architectural principles, ensuring alignment with the wider Data & AI strategy and enterprise architecture direction.
- Own and prioritise the domain data product backlog, including data products, data assets, quality improvements, metadata, lineage, foundational pipelines, and ongoing enhancement activities.
- Lead domain data governance activities, ensuring clear data ownership, effective business requirement gathering, compliance and robust issue management and escalation.
- Partner with and provide leadership to Data Product teams, shaping data requirements, ensuring delivery readiness, and guiding value-driven product development, data engineering, architecture, and master data management activities.
- Oversee domain data quality, metadata, catalogue management, lineage models, and semantic definitions.
- Collaborate closely with Business Process Owners, Data Owners, Product Owners, and Tower Domain Leads to align data products with operational processes and business priorities, manage domain priorities and roadmaps, and drive continuous improvement.
Skills and Experience Required
- Professional experience and qualifications in Information Technology, Engineering, Computer Science, Data, Cyber Security, Architecture, or a related discipline.
- Significant experience across data and technology domains, including data, analytics, AI, data products, data platforms, governance, or data architecture, with a proven track record operating as a senior specialist, technical lead, product/platform lead, or process owner.
- Demonstrable experience developing and managing strategic frameworks including roadmaps, standards, lifecycle plans, design guardrails, governance models, and service improvement plans within complex enterprise environments.
- Strong practical understanding of enterprise technology delivery, including architecture principles, security, service management, operational resilience, and supplier or partner operating models.
- Proven ability to collaborate effectively across multidisciplinary teams to develop pragmatic and sustainable solutions.
- Excellent analytical, problem-solving, communication, and decision-making skills, with the ability to balance innovation, cost, risk, reliability, compliance, and delivery feasibility.
What We Offer
In return for playing your part in building our future, you will receive a comprehensive compensation package with salary, bonus scheme and further benefits as well as inspiring places to work and collaborate with purpose. Here at Imperial we will give you the opportunity to grow and learn, innovate at pace and be a part of our purpose to forge a path to a healthier future for moments of relaxation and pleasure for our consumers.
Everyone Belongs
Everyone belongs in Imperial. We are proud of being a truly inclusive organisation. We encourage and welcome applications from people of all ages, genders, ethnicities, nationalities, disabilities, sexual orientation, religions or beliefs and of neuro divergence. We give fair and equal consideration to all our applicants.
About Us
We're a truly international company, fourth largest in our industry and operating across 120 markets. An inclusive, innovative global FMCG business supported by 25,000 employees. As we embrace a new era of growth, we are transforming. Our ways of working and culture are driven by a challenger mindset, constantly questioning the status quo where people can bring their best selves to work. Our agility and collaboration are driving our ambitions, innovation and success all supported by our award-winning development programmes that create exciting and rewarding career opportunities for all. Encouraging inclusion at local levels and supporting a developing and robust diversity agenda globally, we’re fully committed to creating and maintaining an environment that celebrates and respects difference.
As a matter of policy, Imperial Tobacco or its subsidiaries never requests or requires payment as part of any recruitment process.
Data Product Lead employer: Imperial Brands PLC
Imperial Brands PLC is an excellent employer, offering a dynamic work environment in Bristol where innovation and collaboration thrive. Employees benefit from a comprehensive compensation package, robust opportunities for professional growth, and a culture that prioritises data security and compliance, making it an ideal place for those passionate about cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Lead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Product Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Imperial Brands PLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Imperial Brands PLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Imperial Brands PLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Imperial Brands PLC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
