Sr Data Product Manager , Global SAP Analytics

McCormick & Company·India·Onsite

Director

Experience

15+ years

Employment

Full Time

Work mode

Onsite

Level

Director

Location

India

Posted

Yesterday

About the role

Sr Data Product Manager , Global SAP Analytics

GURGAON, IN, 122001

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America

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 — including strategic decision-making, performance transparency, and operational excellence across

What you'll do

Description
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—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 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 (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 SAP Analytic data products. Partners with key stakeholders to embed governance and regulatory requirements into data product design and delivery. Monitors 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. Partners with the Data Owner to quantify and communicate data product value, demonstrating significant advancement McCormick’s digital and AI transformation.
Required

What you'll bring

Level of Education and Discipline
Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Business Analytics, or other applicable field
Candidates with strong SAP Analytics qualifications and a demonstrated track record of data literacy may also be considered in lieu of the above degree requirements
Experience - functional/industry/commercial knowledge, business acumen
15+ years of experience in data product management, data strategy, or data governance within a complex or global organization
12+ 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
Interpersonal Skills - leadership, interactions, communication, influence
Strategic thinking skills are essential to develop data products that create business value and support key business objectives and strategies. By connecting business context with technical execution, the role balances competing needs, prioritizes product backlogs, and ensures successful delivery of data products that achieve business objectives while driving accountability for data quality, governance, and adoption within an Agile, iterative environment.