Data & Business Intelligence Manager
Listed on 2026-08-01
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager, Data Warehousing
Position Specification
Role
Title:
Data & Business Intelligence Manager
Reports to:
Director, FP&A
Location:
Blaine, MN
Travel:
Less than 10%
Headquartered in Blaine, MN, CPM Holdings, Inc is an established company with exciting growth as an essential supplier to the global food, energy and materials supply chains. We are an international organization that is a key player in numerous global markets, including oilseed processing, animal feed, breakfast cereal, snack food, biofuels and metal-packaging industries. We specialize in the design, production and marketing of high-quality, efficient, durable process systems, equipment and aftermarket parts and services.
The foundation of our company dates back to 1883 and we continue to leverage our history, experience, and entrepreneurial spirit to increase our global footprint through innovative organic growth and strategic acquisitions.
Website:
Job SummaryWe are seeking a strategic, data driven, and results-oriented Data & Business Intelligence (BI) Manager to support CPM in accelerating the advancement of global data insights, data visualization, and predictive analytics. This role will also have the opportunity to support AI enabled capabilities for advanced planning processes. This role is perfect for a hands-on leader seeking a dynamic player-coach role-enhancing systems and translating data into insights.
This is an exciting opportunity to be part of advancing best-in-class analytical capabilities for a growth-oriented company.
- Partner with IT and business teams to define architectural principles and data standards aligned with enterprise strategy.
- Influence the design and enhancement of scalable data architecture to connect, integrate, and optimize data across enterprise systems (ERP, CRM, financial, operational) for best-in-class data access and reporting.
- Evaluate and recommend emerging BI and AI tools, ensuring alignment with enterprise needs and evolving data capabilities.
- Establish and enforce data management, lineage, and governance standards to ensure consistency across global reporting structures.
- Champion data quality initiatives and promote consistent master data usage across global systems.
- Facilitate enterprise-wide data forums to align on shared definitions, KPIs, and reporting standards.
- Serve as a key liaison between business units, IT, and executive leadership to drive data standardization and governance initiatives.
- Lead the delivery of business intelligence solutions that enable Finance and Operations to make data-driven decisions.
- Translate business needs into scalable BI and data solutions that support global reporting, performance measurement, and predictive analytics.
- Drive adoption of self-service analytics tools and promote a culture of data-driven decision-making across the organization.
- Provide strong leadership, mentorship, and development for a high-performing data and analytics team.
- Foster collaboration across IT, Finance, and Operations to ensure aligned priorities and transparent communication.
- Model a continuous improvement mindset and advocate for innovation within the data and analytics function.
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, Business, Management Information Systems, Computer Science, or equivalent education/experience.
- Minimum of 7–10 years of experience in data, IT, business analysis, or analytics roles.
- Proven leadership experience (2–5 years) managing and developing technical teams, preferably in a global, matrixed environment.
- Demonstrated experience in data solution design, data modeling, and business intelligence, including transactional and analytical data models.
- Experience with demand management, product ownership, and service delivery in a data context.
- Strong understanding of data lineage, cataloging, and data stewardship principles.
- Experience supporting financial and operational reporting.
- Deep knowledge of data modeling, integration, and ETL/ELT orchestration.
- Proficiency with BI tools (e.g., Power BI).
- Strong SQL skills and proficiency in at least…
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