Sr. Manager - Data Solutions

Job Title

Senior Data Solutions Manager

Hybrid – Lake Forest, IL (Onsite Tuesday–Thursday)

Full-time, Permanent

$155,/year + Bonus (14% target)

Day shift (40 hours/week)

Not accepted

Required

Three steps: HR, Manager, Executive

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.

• 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

• 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

• Experience with SAP S/4
  
  HANA (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

• MUST have Consumer Packaged Goods (CPG) background