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Lead Data Solutions Manager

Lead Data Solutions Manager

Addison GroupMundelein, IL, US
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Job Description

Job Description

Job Title : Lead Data Solutions Manager

Location : Chicago Metro Area

Job Type : Full-Time | Exempt

Compensation : $150,000 – $165,000 / year

Benefits :

This position is eligible for medical, dental, vision, 401(k), parental leave, bonuses, and PTO. Additional benefits include tuition reimbursement, HSA, and virtual healthcare support.

Our client is hiring for a newly created, high-visibility role that offers direct exposure to senior leadership. The Lead Data Solutions Manager (Manager, Commercial Data Solutions) will play a key role in shaping strategy across pricing, trade, cost structures, and overall market competitiveness. In today’s fast-moving, tariff-sensitive environment, these areas demand rapid, data-driven decisions backed by robust analytics.

This is an exciting opportunity to join a company where data is at the core of decision-making. You will be involved in :

  • Using data to optimize pricing, shift demand, and renegotiate supplier contracts to gain a competitive edge.
  • Building decision-support tools that help identify where to preserve margin.
  • Developing predictive models that simulate various tariff and pricing scenarios.
  • Delivering strategic insights that support commercial negotiations with customers and suppliers.
  • Acting as a key liaison between technical data teams and commercial stakeholders.
  • Presenting insights to C-suite executives in a clear, actionable manner.

Requirements

  • Education : BA / BS degree in Information Technology, Computer Science, Data Science, or a related field.
  • Experience :
  • 7+ years of professional experience in Data & Analytics roles, with a strong track record of delivering impactful data solutions.

  • Proven success designing and deploying end-to-end data products across Sales, Category Management, Revenue Growth Management (RGM), Trade, and Front Office domains—ideally within the Consumer-Packaged Goods (CPG) industry.
  • Minimum 5 years working with SAP data products (e.g., BW, HANA, Datasphere, ECC, S / 4HANA), with deep understanding of SAP data architecture in commercial functions.
  • Technical Skills :
  • Proficiency with reporting and visualization tools such as SAP Analytics Cloud, Power BI, Business Objects, and Analysis for Office.

  • AI / ML Operationalization : Ability to scale AI / ML models from experimentation to production to deliver measurable business impact.
  • Familiarity with Generative AI technologies applied to business decision-making processes.
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