About this role
Job title: Data Modeler (Corporate Functions)
We are seeking a Data Modeler for Corporate Functions to join the Corporate Data Intelligence Team and enable data-driven decisions across SAP ERP, Master Data, Salesforce, Procurement, and Planning. This business-facing role bridges stakeholders and the data platform and partners with the Senior Corporate Analytics Architect to design robust, scalable data models and governance-aligned data assets. You will report to the Corporate Data Intelligence Lead.
What You'll Do
- Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions
- Design and maintain conceptual, logical, and physical data models for corporate domains including SAP ERP, Master Data, SFDC, Procurement, and Planning
- Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases
- Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks
- Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies
- Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries
- Ensure data consistency and integrity across domains through well-governed master data modelling practices
- Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain
- Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets
- Act as the liaison between business domain owners and the data platform team
What We're Looking For
- Proven hands-on experience in data modelling, conceptual, logical, and physical including dimensional modelling and ER design
- Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes
- Hands-on experience with dbt – model development, testing, documentation, and macros
- Advanced SQL skills with ability to profile, analyze, and validate data against business definitions
- Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently
- Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs
- Excellent communication and interpersonal skills – comfortable working with Senior Architects, business leads, and cross-functional teams
Nice to Have
- Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster)
- Exposure to Snowflake as the analytics warehouse platform
- Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms
- Experience in a manufacturing, semiconductor, or high-tech industry environment
- Familiarity with Agile delivery methodology