Run your business with software built for your industry. Aptean delivers AI-enhanced solutions for food, manufacturing, retail, logistics and more. Backed by Insight.
About the role
Recommended: 12+ years of relevant professional experience in product management, product analysis, business analysis, data/analytics, enterprise software, or a related discipline. Experience should include meaningful hands-on work translating business requirements into data, analytics, reporting, or semantic-model requirements. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Define business semantics and domain models
- Analyze source data and define source-to-semantic mappings
- Define Analytics Packages
- Driving semantic-model requirements through Engineering
- Validate models and packages with customers and SMEs
- Standardize capabilities across products and customers
More about this role
Overview
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About the Role
The Staff Product Manager – Data & Analytics supports the definition and evolution of Aptean's semantic data models and Analytics Packages across business domains and products. The role translates business processes, metrics, reporting requirements, and underlying product data into reusable semantic definitions that can support analytics and AI use cases. Working closely with domain SMEs, customers, Product, Data Engineering, and Architecture, this role drives requirements from discovery through definition, technical validation, and customer validation. The role requires a strong combination of product thinking, business analysis, analytics, and hands-on understanding of relational data and data modeling.
We need a candidate who sits with an ERP SME or business user, understand the business process; inspect the underlying data/schema; define the business entities/KPIs; map source concepts to the semantic model; write requirements detailed enough for Engineering; validate the implementation (reports, AI query, or Agent outputs) with SMEs/customers.
Requires strong working knowledge of data and analytics concepts, including...
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