What are the responsibilities and job description for the Techno-Functional Consultant - Finance Data & KPI Standardization (Footwear, Apparel, Retail :: NC position at Software Technology Inc?
Senior Techno-Functional Consultant: Finance Data and KPI Standardization (Footwear and Apparel)
Role summary
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
Role summary
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.
- 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.
- 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).
Salary : $77,543 - $142,070