Sr. Manager - Data Solutions

Job Title Senior Data Solutions Manager Location Hybrid – Lake Forest, IL (Onsite Tuesday–Thursday) Employment Type Full-time, Permanent Salary Range $155,000 - 165,000/year + Bonus (14% target) Work Hours Day shift (40 hours/week) Visa Sponsorship / C2C / H1B Not accepted Background/Reference Checks Required Interview Process Three steps: HR, Manager, Executive Role Overview The Senior Data Solutions Manager will lead the design, development, and management of data and decision-support products—including dashboards, reports, and analytical queries—within a designated functional domain. This role serves as the primary liaison for business stakeholders, translating requirements into scalable data solutions while collaborating with a Data & Analytics Center of Excellence for advanced modeling and visualization. The ideal candidate combines strategic leadership with hands-on execution and thrives in fast-paced, agile environments. Key Responsibilities • Partner with business units to identify data needs and deliver actionable solutions • Design and implement dashboards, reports, and analytics to improve KPIs • Collaborate with IT and business teams to ensure ERP data integration • Manage data governance and ensure compliance with standards • Lead projects from requirements gathering through delivery and adoption • Communicate effectively with non-technical stakeholders to demonstrate value • Stay current on emerging technologies and best practices in data analytics Required Qualifications • BA/BS in Information Technology, Computer Science, Data Science, or related field • 7–10 years of IT professional experience (minimum 5 strong years acceptable) • 7+ years in Data/Analytics roles • 3+ years supporting ERP data products for Marketing, Finance, HR, or Legal functions—or direct experience in these areas within CPG • Proven ability to improve business KPIs through analytics • Hands-on experience with Power BI, Business Objects, and Analysis for Office • Strong communication and stakeholder management skills • Ability to deliver measurable business value through data solutions Preferred Qualifications • Experience with SAP S/4HANA (CDS Views, BTP, SAC, Fiori) • Familiarity with SAP ECC data architecture (BW, HANA) • Exposure to advanced analytics and data science techniques (Python, predictive forecasting) • Knowledge of Generative AI solutions for decision-making Industry Requirement • MUST have Consumer Packaged Goods (CPG) background #TECH #Hybrid