At a Glance
- Tasks: Advise clients on data strategy and transformation in the CPG sector.
- Company: Fractal, a strategic AI partner for Fortune 500 companies.
- Benefits: Hybrid work model, competitive salary, and recognition as a Great Place to Work.
- Other info: Join a dynamic team focused on innovation and career growth.
- Why this job: Shape the future of data foundations and empower businesses with intelligence.
- Qualifications: 12+ years in consulting, strong CPG data expertise, and excellent communication skills.
The predicted salary is between 80000 - 100000 £ per year.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Role Overview
Fractal is looking for a Senior CPG Data Foundation Advisor to advise its CPG clients on the strategy, design and scaling of modern enterprise data foundations. This senior advisory role sits at the intersection of CPG commercial data, data foundation strategy, platform thinking and executive stakeholder engagement. The advisor will work with senior client leaders, including VP, SVP and Executive Committee-level stakeholders, to shape data roadmaps, prioritise capabilities and translate complex data infrastructure decisions into clear business narratives.
The ideal candidate will bring a strong consulting background, deep CPG / FMCG data expertise and a solid understanding of modern data foundation approaches, including data governance, data products, AI-enabled automation and scalable platform operating models.
Key Responsibilities
- Advise Fractal’s CPG clients on data foundation strategy, data in-housing, platform evolution and commercial data transformation.
- Shape multi-year roadmaps across markets, functions, data domains and commercial use cases.
- Support prioritisation of platform capabilities, markets and use cases based on business value, feasibility and strategic importance.
- Engage senior stakeholders, including VP, SVP and Executive Committee-level audiences, through workshops, steering committees and executive communications.
- Translate complex data, technology and operating model decisions into clear, commercially relevant narratives.
- Advise on CPG / FMCG data ecosystems, including syndicated data, POS data, panel data, market performance data and third-party commercial datasets.
- Guide clients on the acquisition, harmonisation, governance and delivery of data from providers such as NIQ, IQVIA, IRI / Circana, retailer POS and other market measurement sources.
- Bridge business and technology teams to ensure data foundation decisions support commercial outcomes such as revenue growth management, market performance, media ROI, trade effectiveness, sales analytics and category growth.
- Advise on modern data foundation principles, including data governance, standardisation, metadata, lineage, quality, interoperability, semantic layers, data products and reuse.
- Support the design of scalable data operating models, including ownership, stewardship, governance forums, decision rights and adoption mechanisms.
- Bring awareness of latest technology approaches, including cloud data platforms, AI‑enabled automation, data quality automation, ingestion automation and modern data architecture patterns.
Required Experience
- Minimum 12 years of experience across consulting, data strategy, CPG analytics, data transformation or enterprise platform advisory roles.
- Strong CPG consulting experience is essential, with a proven track record of advising CPG / FMCG clients on data, analytics, commercial transformation or technology‑enabled business change.
- Deep understanding of CPG / FMCG commercial data, including syndicated data, POS data, market performance datasets and third‑party data providers such as NIQ, IQVIA, IRI / Circana or equivalent.
- Proven experience shaping data strategies, data foundation programs, data platforms, data products or data operating models at enterprise scale.
- Experience working with senior stakeholders, including VP, SVP, C‑suite or Executive Committee‑level audiences.
- Strong understanding of modern data architecture and platform concepts, with the ability to engage credibly with technical teams without needing to be a hands‑on engineer.
- Experience operating in complex, matrixed global organisations across multiple markets, categories and functions.
- Excellent communication, storytelling and facilitation skills, with the ability to simplify complex technical topics for business audiences.
Senior CPG Data Foundation Advisor in London employer: BlackCube Labs
Fractal is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to drive meaningful change in the CPG sector. With a commitment to diversity and individual growth, Fractal offers robust career development opportunities and a hybrid work model that promotes work-life balance. Recognised as a Great Place to Work, the company provides a dynamic environment where your expertise in data strategy can flourish while making a tangible impact on Fortune 500 clients.
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We think this is how you could land Senior CPG Data Foundation Advisor in London
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We think you need these skills to ace Senior CPG Data Foundation Advisor in London
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to BlackCube Labs, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at BlackCube Labs
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at BlackCube Labs.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at BlackCube Labs.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at BlackCube Labs.
