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Mondelez International

Makes cookies, chocolate, gum and candy worldwide

Director – Commercial Data Strategy

Data ManagementUpdated on Nov 11
Full-timeEast Hanover, NJ, USAIn-person

About the Job

Requirements

  • At least 10 years of experience in data strategy, data management, commercial analytics, or a related field within CPG, FMCG, or a similarly data-intensive industry.
  • Deep expertise in Nielsen/NielsenIQ data, contracts, methodologies, and limitations, along with hands-on experience with other commercial data providers, including Circana/IRI, Kantar, and retailer data.
  • A proven track record of building and executing enterprise-level data strategies across multiple functions and geographies.
  • Strong experience in vendor and contract management for commercial data assets.
  • Demonstrated ability to deploy AI and machine learning 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.
  • A bachelor's degree is required.

Responsibilities

  • 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, including syndicated data, retailer and 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 and build a roadmap to address them.
  • Serve as the internal authority on commercial data, including what the organization has, what it needs, and how the data connects.
  • Partner with Digital Services to build AI-ready data and technology platforms.
  • Own the commercial data vendor relationship lifecycle, including sourcing, negotiation, contracting, RFPs, renewals, and performance management.
  • Manage contracts and commercial terms for key data providers, including NielsenIQ, Circana/IRI, Kantar, and retailer data partnerships, to maximize value and minimize risk.
  • Establish and enforce vendor service-level agreements, data quality standards, and escalation protocols.
  • Act as the central point of accountability for vendor-related issues, including in local and regional markets where data operations are less mature.
  • Serve on the enterprise data governance council 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 with local I&A and Sales teams.
  • Build lightweight, scalable playbooks so regional teams can resolve common issues independently over time.
  • Champion integration of AI and machine learning into commercial data workflows, including data harmonization, quality automation, predictive analytics, and insight generation.
  • Identify and build AI capabilities in select test markets, demonstrating value before scaling.
  • Partner with IT and champion integration of AI-driven solutions into everyday commercial data processes.
  • Stay current on AI and machine-learning innovations relevant to commercial data, including LLM-based data cataloguing, automated anomaly detection, and NLP-driven insight extraction, and assess their applicability.
  • Work across Sales, I&A, CX, Marketing, Finance, and Supply Chain to ensure commercial data strategy serves business needs.
  • Translate complex data topics into clear, actionable language for non-technical stakeholders.
  • Influence without authority to build alignment across functions and geographies on data standards, priorities, and investments.
  • Establish an endorsed commercial data strategy and roadmap shared with Sales, I&A, and CX leadership.
  • Review, rationalize, and manage major commercial data contracts through a single governance framework.
  • Pilot at least one AI-driven capability in a test market with measurable results.
  • Provide regional teams with a clear escalation path and playbook for vendor and data issues.

Desired Qualifications

  • An advanced degree, such as an MBA or an MS in Analytics, Data Science, or a related field.
  • A consumer goods background is strongly preferred.
  • Experience with a variety of research techniques and applications.

About the Company

Mondelez International

Makes cookies, chocolate, gum and candy worldwide

Mondelez International makes snack foods sold in grocery stores, convenience shops and online from North America and Europe to Latin America, Asia and Africa. Its brands include Oreo and Chips Ahoy cookies, Cadbury, Milka and Toblerone chocolate, Trident gum and Halls cough drops. The company runs factories around the world, buys large amounts of cocoa and wheat, and ships finished snacks to retailers and distributors. It earns money by selling these branded snacks at wholesale, and it grows by adding local brands and buying regional bakeries and snack makers. Mondelez took its current name in 2012, when Kraft Foods split off its North American grocery business, and is based in Chicago.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1903

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