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

#LI-CW1 #TECH #Hybrid