Senior Techno-Functional Consultant: Finance Data and KPI Standardization

Job Role – Senior Techno-Functional Consultant: Finance Data and KPI Standardization Location: Greensboro,NC (Remote) This role defines the business and data requirements that make a multi-ERP, multi-region data platform trusted by Finance. You will work with the CFO’s organization and the technical delivery team to turn finance questions into certified KPI definitions, harmonized master data, and a semantic layer that supports natural-language queries. Responsibilities Lead workshops with Finance, Supply Chain, and Sales leaders to define and certify KPIs such as cost of goods sold, gross margin, inventory turnover, operating margin, and cash conversion. Document KPI definitions, calculation logic, ownership, and the differences between ERPs and regions. Define master data standards for product (brand, line, style, SKU), location, and customer, including the mapping rules from each source ERP. Write the semantic layer requirements: business entities, metrics, hierarchies, currency handling, and the access and security rules. Build a prioritized backlog and acceptance criteria, and work with data engineers to validate that what is built matches the definitions. Identify where AI can speed up the work, for example drafting definitions from ERP metadata, proposing hierarchy mappings, and generating data quality checks. Review and approve the output. Support Finance stakeholders through sign-off and adoption. Required experience 10+ years in finance, supply chain, or data consulting, with at least 5 in retail, footwear, apparel, or consumer goods. Hands-on experience with at least two ERPs (for example SAP, Oracle, or Microsoft Dynamics) and their finance and inventory data models. Proven delivery of KPI standardization or master data programs across multiple business units or countries. Working knowledge of a lakehouse or cloud data platform (Databricks preferred), and of semantic or metrics layers and BI tools. Strong facilitation skills with CFO-level and senior Finance stakeholders, and a clear writing style for requirements and definitions. Preferred Experience with natural-language or generative AI analytics on enterprise data. Familiarity with data governance and cataloging tools. A finance qualification (CPA, CMA, or equivalent). Varun Yadav NLB Services is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to any legally protected characteristic, including disability and protected veteran status. For recruitment accommodations, contact your recruiter or .