At a Glance
- Tasks: Advise CPG clients on data strategy and commercial transformation.
- Company: Fractal, a strategic AI partner to Fortune 500 companies.
- Benefits: Hybrid work model, competitive salary, and a culture of innovation.
- Other info: Join a Great Place to Work and empower imagination with intelligence.
- Why this job: Shape the future of data foundations in a dynamic environment.
- Qualifications: 12+ years in consulting with strong CPG data expertise.
The predicted salary is between 80000 - 100000 £ per year.
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 employer: Fractal
Fractal is an exceptional employer that fosters a culture of innovation and collaboration, making it a great place for professionals passionate about data and technology. With a commitment to employee growth, Fractal offers opportunities to engage with senior stakeholders and shape impactful data strategies in a hybrid work environment, allowing for flexibility while working closely with clients. Recognised as a Great Place to Work, the company values diversity and imagination, ensuring that every team member can contribute meaningfully to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior CPG Data Foundation Advisor
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We think you need these skills to ace Senior CPG Data Foundation Advisor
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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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
