Principal consultant - CPG Data foundations & Strategy

Fractal; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

Fractal is seeking a Senior CPG Data Foundation Advisor to guide clients on data strategy and transformation. This hybrid role emphasizes collaboration with senior stakeholders to optimize commercial data foundations while leveraging modern data architecture principles.

The ideal candidate will have extensive CPG consulting experience, a solid understanding of data ecosystems, and the ability to translate complex data narratives for business leaders.

Join Fractal, where innovation and intelligence empower decision-making for top-tier clients.

Qualifications

• Minimum 12 years of experience in consulting, data strategy, or CPG analytics.
• Strong CPG consulting experience required.
• Excellent communication and facilitation skills.

Responsibilities

• Advise on data foundation strategy and transformation for CPG clients.
• Shape multi-year data roadmaps across markets and functions.
• Engage with senior stakeholders through workshops and executive communications.

Skills

CPG consulting

data strategy

commercial transformation

analytics

communication

Job description

## Senior CPG Data Foundation AdvisorApplylocations: Londontime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: SR-43253It'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.***Senior CPG Data Foundation Advisor****18 month Fixed Term Contract****Hybrid – On Client site 1-2 days per week (Slough)**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.