Data & Business Intelligence Manager

Position Specification

Role

Title:

Data & Business Intelligence Manager

Reports to:

Director, FP&A

Location:

Blaine, MN

Travel:
Less than 10%

Our Company:
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:

CPM is owned by American Securities, a leading U.S. private equity firm that invests in market-leading North American companies with annual revenues generally ranging from $200 million to $2 billion and/or $50 million to $200 million of EBITDA. American Securities is based in New York with an office in Shanghai. Their investment philosophy of “We dedicate the time, energy and resources to help every company achieve its full potential” fully supports CPM’s mission and vision.

We 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…