The posting
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Principal Consultant, CPG Commercial & Demand Analytics (Digital Technologies)
Location: London, UK
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.
Roles and Responsibilities
As a Principal Consultant based in London, you will own the commercial performance of a CPG analytics and digital technology business. You will be accountable for P&L, grow revenue across existing and new client accounts, and lead the client relationships that drive that growth.
You will own the P&L for your client portfolio, including revenue forecasting, margin management, resource planning, and utilisation, and you will take responsibility for delivering the commitments made in your engagements. You will drive growth by engaging CPG clients in London at senior commercial and executive levels, identifying opportunities, and leading consulting pursuits from qualification through to close. You will open new revenue streams by identifying and developing adjacent offerings in marketing analytics, trade promotion and revenue growth management, demand planning, and data platforms, and by building the propositions, partnerships, and go-to-market approaches to bring them to market.
You will lead end-to-end engagements covering marketing effectiveness, promotion optimisation, revenue growth management, and demand planning. You will define the target platform architecture for commercial analytics, including data ingestion, storage, transformation, data models, and self-service analytics for category, trade, and marketing teams. You will assess clients’ existing data platforms, identify gaps in scalability, data quality, and governance, and lead the roadmap for remediation and modernisation. You will advise client leadership on investment decisions such as media mix, trade spend allocation, and pricing and promotion strategy, supported by quantified business cases. You will oversee solution quality, delivery governance, and stakeholder alignment across multidisciplinary teams that include data engineers, data scientists, and designers, and you will build and mentor the consultants who deliver this work.
Technical Skills
- Platform integration with commercial and retail data sources, including syndicated and retailer data feeds
- Marketing analytics, including marketing mix modelling, attribution, or media effectiveness measurement
- Trade promotion optimisation or revenue growth management analytics
- Demand sensing and forecasting for consumer goods
- Strong platform architecture expertise, covering data platform design across ingestion, storage, transformation, serving, and consumption layers
- Data engineering fundamentals for pipeline design, data modelling, data quality, and observability
- Data governance and master data management for commercial data domains such as sales, trade, pricing, and product
- Business intelligence and self-service analytics enablement on top of governed data platforms
Non-Technical Skills (Domain)
- 15+ years of experience in consulting, analytics, or commercial technology, with significant time in CPG or retail
- Proven track record leading senior client conversations and delivering measurable business outcomes
- Ability to explain technical trade-offs to commercial leaders and business trade-offs to engineering teams
- Experience managing teams and mentoring consultants at a senior level
- Strong understanding of CPG commercial functions, including sales, trade, marketing, category management, and supply chain
Education Qualifications and Certifications
- Bachelor’s degree in a quantitative, business, or engineering discipline. A master’s degree (MBA, or a degree in analytics, statistics, or economics) is preferred.
- Industry certifications in cloud platforms or analytics tooling are a plus but not required.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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