Director of Commercial Data Strategy
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- As key partner to the respective Business Team, you will support our growth strategies
- You will achieve this by converting consumer/shopper knowledge and in-depth market understanding into business implications and recommendations
- You will drive growth and business results by embedding people-centric insights and actions into the organization
- Identify and articulate key consumer, shopper and market issues and opportunities for the assigned Category providing business recommendations
- Ensure decisions are made against a background of fundamental Category / consumer / shopper / customer knowledge and insight
- Be the consumer advocate in the Category/Brand Team ensuring that the consumer/shopper is at the center of the Category strategies
- Support business decision by leveraging insights developed by country and platform teams
- Ensure that optimal and creative research solutions (including qualitative, quantitative)
- Mondelēz International is looking for a Director, Commercial Data Strategy to own and advance the company’s commercial data agenda across Sales, Insights & Analytics (I&A), Customer Experience (CX), and adjacent functions
- This role is the connective tissue between our commercial data assets, our vendor ecosystem, and the teams that turn data into growth — ensuring we have the right data, from the right sources, governed and activated the right way
- The ideal candidate brings deep fluency in syndicated and panel data (including Nielsen/NielsenIQ), but pairs it with a broader, more modern perspective on the full commercial data landscape — retail media data, brand tracking data, shopper/loyalty data, e-commerce signals, and emerging alternative data sets
- They see beyond any single vendor and can architect a fit-for-purpose data strategy that reflects how commercial decisions are actually made today
- Define and maintain a multi-year commercial data strategy aligned to Sales, I&A, CX, and broader enterprise priorities
- Evaluate the commercial data ecosystem end-to-end — syndicated data (Nielsen, Circana, etc.), retailer/shopper data, brand tracking data, and emerging sources — and recommend the optimal portfolio of data assets
- Identify gaps, redundancies, and opportunities across the current data landscape; build a clear roadmap to close them
- Serve as the internal authority on commercial data — what we have, what we need, and how it connects
- Partner with the Digital Services function to build AI-ready data and technology platforms
- Own the commercial data vendor relationship lifecycle: sourcing, negotiation, contracting, RFPs, renewals, and performance management
- Manage contracts and commercial terms for key data providers (e.g., NielsenIQ, Circana/IRI, Kantar, retailer data partnerships) to maximize value and minimize risk
- Establish and enforce vendor SLAs, data quality standards, and escalation protocols
- Act as the central point of accountability for vendor-related issues, including in local/regional markets where data operations are less mature
- Serve on the data governance enterprise council, acting as the owner of the key market data domain
- Provide hands-on support to regional and local teams when vendor or data issues arise — particularly in markets with less-developed data infrastructure
- Troubleshoot data delivery, quality, and access issues in partnership with local I&A and Sales teams
- Build lightweight, scalable playbooks so that regional teams can resolve common issues independently over time
- Champion the integration of AI and machine learning into commercial data workflows — from data harmonization and quality automation to predictive analytics and insight generation
- Identify and build out AI capabilities in select test markets, proving value before scaling
- Partner with IT and champion the integration of AI-driven solutions into everyday commercial data processes
- Stay current on AI/ML innovations relevant to commercial data (e.g., LLM-based data cataloguing, automated anomaly detection, NLP-driven insight extraction) and assess applicability
- Work across Sales, I&A, CX, Marketing, Finance, and Supply Chain to ensure commercial data strategy serves the full breadth of business needs
- Translate complex data topics into clear, actionable language for non-technical stakeholders
- Influence without authority — build alignment across functions and geographies on data standards, priorities, and investments
- What Success Looks Like (First 12 Months)
- A clear, endorsed commercial data strategy and roadmap shared with Sales, I&A, and CX leadership
- All major commercial data contracts reviewed, rationalized, and managed through a single governance framework
- At least one AI-driven capability piloted in a test market with measurable results
- Regional teams have a clear escalation path and playbook for vendor/data issues
- Cross-functional stakeholders describe the commercial data landscape as “clearer and better connected” than 12 months prior
- Working at a strategic level, leveraging consumer knowledge to influence short and long term business decisions. Has practical experience of driving growth in white space opportunities
- Demonstrated ability to work across cultures, and be effective and influential remotely
- Insights gained from progressive industry and / or consulting, with a strong preference for consumer goods background
- Experience across a variety of research techniques and applications
- Across a variety of research techniques and applications
- Bachelor’s degree required; advanced degree (MBA, MS in Analytics, Data Science, or related field) preferred
- Proven track record of building and executing enterprise-level data strategies across multiple functions and geographies
- Deep Nielsen/NielsenIQ expertise — understands the data, the contracts, the methodologies, and the limitations — combined with hands-on experience across other major commercial data providers (Circana/IRI, Kantar, retailer data, etc.)
- Demonstrated ability to deploy AI/ML capabilities on commercial data — ideally including piloting in test markets and scaling successful approaches
- Experience supporting or operating in global organizations with varying levels of regional data maturity
- Strong experience in vendor/contract management for commercial data assets
- 10+ years in data strategy, data management, commercial analytics, or a related field within CPG, FMCG, or a similarly data-intensive industry