Director, Commercial Data Strategy

Mondelez International Inc.; East Hanover (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Mondelēz International is seeking a Director, Commercial Data Strategy to own and advance the company’s data agenda across Sales, Insights & Analytics, and CX. You will connect data assets with the vendor ecosystem and business teams to drive growth.

The ideal candidate blends deep knowledge of syndicated data with modern data perspectives, including retail media, brand tracking, and e-commerce signals. Travel and cross‑functional leadership are expected.

Qualifications

• Experience turning consumer/shopper knowledge into business recommendations.
• Ability to influence strategic decisions across functions and geographies.
• Proven track record driving growth in white space opportunities using data.

Responsibilities

• Define and maintain a multi-year commercial data strategy aligned to Sales, I&A, CX, and enterprise priorities.
• Evaluate the commercial data ecosystem end-to-end and recommend an optimal asset portfolio.
• Own vendor relationship lifecycle: sourcing, contracting, renewals, and performance management.
• Provide hands-on regional support for data issues and build scalable playbooks.
• Champion AI/ML integration into commercial data workflows and predictive analytics.

Skills

Consumer insights

Strategic thinking

Cross-cultural collaboration

Data strategy

Influence & leadership

Tools

NielsenIQ

Circana/IRI

Kantar

Job description

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

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.

How you will contribute

• 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).

What you will bring

• Insights gained from progressive industry and / or consulting, with a strong preference for consumer goods background
• Demonstrated ability to work across cultures, and be effective and influential remotely
• 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
• Across a variety of research techniques and applications
• Experience across a variety of research techniques and applications

Position Summary

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.

Key Responsibilities

Commercial Data Strategy & Roadmap

• 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.

Vendor & Contract Management

• 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

Regional & Local Market Support

• 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.

AI & Advanced Capabilities on Commercial Data

• 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.i>
• 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