At a Glance
- Tasks: Lead the design of innovative data architecture to drive business success.
- Company: Join a global FMCG leader with a commitment to inclusivity and innovation.
- Benefits: Competitive salary, bonus scheme, and inspiring work environment.
- Other info: Opportunities for growth and a commitment to diversity and inclusion.
- Why this job: Shape the future of data in a dynamic, collaborative setting.
- Qualifications: Experience in data architecture and strong analytical skills required.
Shape the future of enterprise data as a strategic leader responsible for defining the architecture, models, and standards that enable data to drive business success. In this highly influential role, you will provide enterprise-wide data architecture leadership, creating scalable, reusable data solutions that power analytics, innovation, and decision-making. Working at the intersection of business strategy, governance, and technology, you will translate complex requirements into robust data models and architecture decisions that deliver lasting value across the organisation.
Principal Accountabilities
- Lead the development and maintenance of the enterprise data architecture and enterprise data model, ensuring the creation of scalable, reusable Data Assets.
- Define and govern enterprise data modelling standards, architecture principles, and design patterns for how data is structured, stored, integrated, and accessed.
- Partner with business and technology stakeholders to translate business requirements into effective data architecture solutions.
- Design and maintain the future-state data architecture, ensuring Data Product data models and asset structures align with enterprise standards.
- Collaborate with key data leadership roles to ensure enterprise data management requirements are consistently reflected within architecture designs.
- Maintain enterprise architecture artefacts, design guidance, and review processes, providing support to retained and delivery teams while establishing metrics, architectural views, and reporting mechanisms.
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. Please contact us at recruitment@impbrands.com to let us know if we can provide support in helping you complete an application and/or attend an interview.
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.
Senior Data Architect 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 Senior Data Architect
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We think you need these skills to ace Senior Data Architect
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.