Data Product Manager - SAP Analytics (HYBRID)

Position Overview

The Data Product Manager (SAP Analytics) leads the strategy, design, and delivery of trusted, high-value data products for McCormick's SAP Analytics. This role is accountable for the end-to-end lifecycle, quality, and adoption of SAP Analytics data products that enable measurable business outcomes.

Key Responsibilities

• Data Product Strategy & Vision
• Defines the strategy and roadmap for SAP Analytics data products that enable functional priorities and deliver measurable business value in alignment with McCormick’s enterprise data strategies.
• Prioritizes 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 SAP Analytic 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, 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 SAP Analytic data products.
• Partners with key stakeholders to embed governance and regulatory requirements into data product design and delivery.
• Maintains data quality and trust metrics, driving continuous improvement to ensure 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 Performance & Value Realization
• Defines and tracks performance metrics to measure the adoption, quality, and business impact of SAP Analytic data products.
• Establishes feedback loops that leverage usage insights and stakeholder input to drive continuous improvement and optimization.
• Pairs with the Data Owner to quantify and communicate data product value, demonstrating significant advancement McCormick’s digital and AI transformation.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Business Analytics, or other applicable field
• 9-12 years of experience in data product management, data strategy, or data governance within a complex or global organization
• 5+ years of experience in SAP Analytics within the CPG, food, or manufacturing industries
• Proven ability to manage the end-to-end lifecycle of data products, from vision and roadmap through delivery and adoption
• Strong understanding of data architecture, quality, metadata, and governance, with the ability to connect technical design to business value and apply modern data product concepts (e.g. data mesh)
• Demonstrated success working in Agile environments, collaborating with cross-functional teams including Data Engineering, IT, and business stakeholders
• Solid business acumen and communication skills, with experience quantifying data product value and driving data adoption across functions
• Applies end-to-end thinking to connect data strategy, architecture, and governance across functions and platforms
• Uses analytical and critical thinking to evaluate data product performance and guide continuous improvement
• Operates with high accountability and ownership, ensuring data products deliver measurable business impact
• Demonstrates agility and adaptability in managing evolving priorities and emerging technologies within a dynamic data ecosystem
• Champions innovation by identifying opportunities to enhance data accessibility, usability, and value creation
• Maintains a strong commitment to data governance, embedding responsible and compliant data practices into everyday decisions
• Collaborates effectively across technical and functional teams, fostering trust and alignment to achieve shared outcomes
• Displays curiosity and learning agility, proactively developing expertise in data management, analytics, and AI-readiness