Fractal Analytics
Principal consultant - CPG Data foundations & Strategy
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Principal Consultant - CPG Data Foundations & Strategy
18-month Fixed Term Contract
Hybrid - London & client site 1-2 days per week (Slough)
About Fractal
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, prioritize 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.
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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 prioritization 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, harmonization, 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, standardization, 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 the 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 organizations across multiple markets, categories, and functions.
- Excellent communication, storytelling, and facilitation skills, with the ability to simplify complex technical topics for business audiences.
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Hiring Related Queries
- India: HiringsupportIndia@fractal.ai
- Outside India: HiringsupportROW@fractal.ai
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