Sr Manager, Commercial Data Solutions
Listed on 2025-12-19
-
IT/Tech
Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Warehousing
Job Title
Senior Manager – Commercial Data Solutions
Location
Lake Forest, IL | Onsite
Compensation & Schedule
• $155,000–$165,000 annual salary
• Full-time hours
• W2 employment
• Immediate start
Benefits
• 401(k) with match
• Paid parental leave
• Tuition reimbursement
• Commuter benefits
• Employee wellness programs
Role Impact
This high-impact role leads the creation of data products that enable insights and drive strategic decision-making across Sales, Trade, and Front Office teams. As the key liaison between business units and technical teams, you'll own the end-to-end delivery of decision-support tools while influencing enterprise data strategy. Supported by a Center of Excellence, you'll shape how data informs growth in a fast-moving, consumer-focused enterprise.
Key Responsibilities
• Lead lifecycle of commercial data products from concept to decommissioning
• Deliver scalable analytics solutions for Sales, Trade, and Front Office stakeholders
• Translate business needs into actionable data requirements and architecture
• Promote data literacy and self-service reporting capabilities
• Influence enterprise data strategy through identification of high-value capabilities
Minimum Qualifications
• BA/BS in Information Technology, Computer Science, Data Science, or related field
• 7+ years in data & analytics roles, including delivery of enterprise-grade data solutions
• 5+ years with SAP data tools (BW, HANA, Datasphere, ECC, or S/4
HANA) in commercial domains
• Proven record delivering end-to-end data products for Sales, Category Management, RGM, and Trade
Core Tech Environment
• SAP BW, HANA, Datasphere, ECC, S/4
HANA
• SAP Analytics Cloud, Power BI, Business Objects, Analysis for Office
• Generative AI tools for decision support
• Advanced SQL, data modeling, reporting automation
• Agile project methodologies
• Data visualization and storytelling platforms
Preferred Skills
• Experience operationalizing AI/ML models for production use
• Strong analytical thinking and data storytelling skills
• Background in Consumer-Packaged Goods (Client) industry
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