DATA PRODUCT MANAGER - Marketing (HYBRID)

About McCormick

You may know McCormick as a leader in herbs, spices, seasonings, and condiments – and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team.

McCormick employees – all 14,000 of us across the world – are what makes this company a great place to work.

We are looking to hire an DATA PRODUCT MANAGER - Marketing immediately in a Hybrid (50/50) capacity at our Global Headquarters in Hunt Valley, Maryland.

What We Bring To The Table

• Career growth opportunities
• Flexibility and Support for Diverse Life Stages and Choices
• Wellbeing programs

Position Overview

The Marketing Data Product Owner leads the strategy, design, and delivery of trusted, high-value data products across McCormick’s combined Marketing function. This role is accountable for the end-to-end lifecycle, quality, and adoption of Marketing data products that enable measurable business outcomes — including accelerated innovation, improved product quality, and enhanced regulatory compliance.

The Marketing Data Product Owner is accountable for the definition, championing, and most importantly, delivery of trusted, high-value data products. The role works as one with McCormick’s Transformation & Technology (including Data & Analytics, Data Governance, Information Security and Technology teams) and Global Business Solutions (including Automation and Data Science & Engineering teams) functions to connect people, platforms, and processes — establishing a trusted, intelligent, and connected Marketing data foundation that supports McCormick’s global growth and product innovation strategy.

Key Responsibilities

Data Product Strategy & Vision

• Defines the strategy and roadmap for Marketing data products that enable functional priorities and deliver measurable business value in alignment with McCormick’s enterprise data strategies—both at the functional level, as established by the Data Owner, and at the enterprise level as established by the Chief Data & Analytics Officer (CDAO).
• Partners with stakeholders and Transformation & Technology Business Relationship Managers (BRMs) to prioritize initiatives based on business impact, ROI potential, and readiness for advanced analytics and AI applications.
• Directs the design and delivery of data products that generate tangible business outcomes while ensuring scalability, interoperability, and long‑term sustainability.
• Establishes and maintains strong cross‑functional alignment to effectively prioritize initiatives, communicate progress, and advance McCormick’s data‑driven transformation.

Data Product Lifecycle Ownership

• Directs the planning, prioritization, and delivery of Marketing data products through an agile, iterative approach that ensures responsiveness to evolving business needs.
• Manages the data product backlog—translating functional requirements into clear, actionable user stories—and directs Data Engineers, Data Architects (who are part of the AI and analytics product teams), and Data Stewards to deliver high-quality, secure, and accessible data solutions.
• Oversees release planning and approval in alignment with governance and quality standards.

Data Quality, Trust & Compliance

• Drives adherence to enterprise and functional standards for data quality, lineage, metadata, and compliance across Marketing data products.
• Partners with key stakeholders to embed governance and consumer privacy requirements into data product design and delivery.
• Monitors data quality and trust metrics, driving continuous improvement to ensure marketing data products remain reliable, reusable, and fit for analytical and AI‑driven use cases.

Data Enablement & Workforce Readiness

• Enables relevant stakeholders to easily find, understand, and use trusted data by ensuring data products are well‑documented, cataloged, and supported with clear usage guidance.
• Partners with key stakeholders to maintain accurate catalog entries, metadata, and reference materials that promote consistent and compliant data use.
• Leads initiatives to strengthen engagement with data products and activate a culture where data is valued, trusted, and responsibly used as “ground truth”.

Data Product…