Commercial Data Manager (RevOps)

NielsenIQ•Chicago, IL

21h•$117,250 - $125,000•Remote

About The Position

NIQ is seeking a Manager, Commercial Data to own the definition, quality, and governance of the data that underpins how we sell, price, and go to market. This is a highly visible, hands‑on role focused on ensuring commercial, sales, and product data is trusted, consistent, and fit for purpose across systems, reporting, and decision‑making. This role sits at the intersection of Commercial, Sales Operations, Product, Finance, and Technology. Rather than managing a team, you’ll act as a functional expert and enterprise owner , setting standards, driving data quality, and enabling reliable insights that support selling effectiveness and business transformation.

Requirements

7-10 years of relevant experience in data management, data ownership, enterprise data governance, or closely related roles
Extensive experience working with commercial, sales, product, and pricing data within a revenue‑driven environment
Proven track record of defining data standards and improving data quality across complex systems and full data lifecycles
Hands‑on experience working with CRM, ERP, pricing, and reporting platforms
Demonstrated ability to operate as a senior individual contributor, influencing senior stakeholders and driving outcomes without formal people management responsibilities
Strong analytical, problem‑solving, and communication skills, with comfort operating across ambiguity and large-scale transformation initiatives
Bachelor’s degree or equivalent professional experience; advanced or graduate degree preferred

Responsibilities

Own end‑to‑end accountability for commercial, sales, and product data used in selling activities across the enterprise
Define and govern data models, hierarchies, attributes, and standards across the full data lifecycle
Establish and continuously improve data quality controls, validation rules, and root‑cause resolution processes
Ensure accurate and consistent application of data across CRM, pricing, reporting, and downstream platforms (e.g., finance and customer service systems)
Partner closely with Sales Operations, Commercial, Product, Finance, Technology, and Data teams to align data to business priorities
Enable trusted dashboards, KPIs, and analytics by ensuring governed, reliable datasets
Support business change initiatives by ensuring data readiness for new products, pricing changes, and go‑to‑market updates
Drive simplification and scalability by improving documentation, controls, and data processes while reducing manual effort