McCormick’s Enterprise Data Services (EDS) team is seeking a Product Owner for Business Intelligence who will own and evolve our BI platform strategy—with an initial focus on Microsoft Power BI—and be prepared to transition into a broader Data Product Owner role within six months.
As part of this evolution, the role will take on Microsoft Fabric engineering and product integration responsibilities, ensuring the delivery of unified, enterprise‑scale analytics solutions spanning data ingestion, transformation, governance, and visualization. This includes leveraging Microsoft Fabric’s capabilities (Data Factory, Synapse, Real‑Time Analytics, Power BI, Data Science) to enable high‑performance, secure, and scalable data products.
This is a career growth opportunity for a BI leader who wants to expand from platform ownership into end‑to‑end data product management—shaping the future of McCormick’s enterprise data ecosystem in alignment with Data Mesh principles and our digital transformation strategy.
Short‑Term (First 6 Months) – Business Intelligence & Microsoft Fabric Platform Ownership
- Own the full lifecycle of Power BI and Microsoft Fabric, from onboarding and security to deployment, maintenance, and retirement.
- Represent business needs and drive platform enhancements that deliver value.
- Design scalable, secure Fabric data architectures with Cloud and Architecture teams.
- Ensure data quality, lineage, and governance.
- Partner with Change Management and Learning & Development teams to deliver effective roll‑out, enablement, and training program.
- Manage vendors and ensure platform stability and security.
- Lead BI engineering team.
- Provide Power BI architectural guidance to analytics and data teams.
- Translate business needs into analytics and reporting requirements.
Mid‑Term (6+ Months) – Transition to Data Product Owner Role
Own one or more enterprise data products (e.g., Customer, Sales, Supply Chain) beyond BI platforms.Define and communicate the data product vision and roadmap aligned to enterprise strategy and Fabric capabilities.Prioritize and manage the data product backlog based on value, risk, and feasibility.Ensure data quality, security, and compliance in partnership with engineering, stewardship, and governance.Drive cross‑domain interoperability and reusable data assets within Fabric.Track key KPIs such as adoption, quality, and time‑to‑value.Promote data literacy and enable stakeholders to use trusted data for analytics, AI, and decisions.Qualifications Required
Bachelor’s degree (or equivalent experience) in Business, Computer Science, Data Science, or related field.3+ years of experience with BI platforms (Power BI strongly preferred).3+ years of experience with cloud analytics platforms (Azure, GCP) and data engineering tools.Hands‑on experience with Microsoft Fabric components including Power BI and governance features. Data Factory and Synapse experience preferred.Strong proficiency in SQL, Python, and data modeling principles. Strong experience in customer‑ and user‑facing roles including facilitation, presentation, conflict resolution, and negotiation. Ability to translate business needs into technical requirements and actionable deliverables.Demonstrated customer‑centric mindset and ability to deliver measurable business outcomes.Preferred Experience
Designing and optimizing ETL / ELT pipelines in a cloud environment.Microsoft Certified : Fabric Analytics Engineer Associate or equivalent Azure certifications. Background in CPG, manufacturing, or related industries.Experience with real‑time data streaming and IoT integrations.Experience with data governance, data modeling, and data quality management.Familiarity with Data Mesh concepts or domain‑oriented data ownership.Product Owner certification (CSPO, PSPO, or equivalent).Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
Food and Beverage Manufacturing
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