TalentBridge
Sr Manager, Commercial Data Solutions
TalentBridge, Lake Forest, Illinois, United States, 60045
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/4HANA) 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/4HANA • 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
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/4HANA) 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/4HANA • 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