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Global Data and Analytics Data Modeler

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Onsite

Global Data and Analytics Data Modeler

APN Consulting Inc.

Global Data and Analytics Data Modeler

Skills

Data AnalysisCRMSalesforceSAP ERPSalesforce Sales Cloud

5 days ago

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Important information


Contract type:

Freelance / Contract

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

17 October 2026

What they need


APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.

Role: Global Data and Analytics Data Modeler Duration: 7+ months Contract Location: Remote  

Job description We are seeking an experienced Data Domain Modeler, to lead enterprise semantic standards, canonical information models, and domain architecture across ***'s Global Data Platform.

Strong preference for candidates with deep SAP S/4HANA Finance and/or Salesforce expertise and experience establishing enterprise canonical data models spanning ERP, CRM, MDM, and analytics platforms.

The role will work closely with Platform Architecture, Data Product Pods, and Domain Stakeholders to ensure data consistency and alignment across the enterprise.

 

Key Responsibilities

  • Lead cross-functional working sessions with business, technology, and data stakeholders to establish enterprise-wide semantic standards and domain model governance.
  • Perform source to target mappings in a medallion architecture from various enterprise ERPs such as SAP S4/Hana, Salesforce Sales Cloud, and many more line of business applications
  • Own enterprise semantic standards, canonical information models, and domain governance decisions across assigned data domains.
  • Define and maintain canonical data models for assigned domain(s)
  • Establish standard entity definitions, relationships, and domain boundaries
  • Create and maintain business glossaries and data dictionaries
  • Partner with data product pods to ensure alignment with domain models
  • Define data ownership, stewardship, and quality standards
  • Resolve cross-system data conflicts and inconsistencies
  • Collaborate with platform and engineering architects to ensure implementation alignment
  • Develop logical data models at the entity and relationship level
  • Maintain centralized documentation and identify gaps for remediation

 

Qualifications

  • At least 8 years of strong experience in logical data modeling and domain-driven design
  • Deep expertise in SAP S/4HANA Finance and/or Salesforce data models, business processes, and information architecture, including experience reconciling business definitions across multiple systems of record.
  • Experience establishing enterprise canonical models, business semantics, data standards, or data governance frameworks.
  • Experience with data governance, business glossaries, and metadata management
  • Ability to resolve conflicting data definitions across distributed environments
  • Strong stakeholder management and workshop facilitation skills
  • Experience operating in large, global, multi-domain organizations with complex ERP, CRM, and master data ecosystems.
  • Demonstrated ability to influence senior business and technology stakeholders without direct authority.

 

Required Domain Expertise Candidates should possess deep expertise in one or more strategic enterprise platforms, including:

  • SAP S/4 Hana Finance: General Ledger, Planning & Forecasting, Financial Reporting, Enterprise Structures, Master Data, and Finance business processes.
  • Salesforce: Account, Opportunity, Pipeline, Relationship Management, Customer Master Data, and Customer 360 data models.
  • Experience defining canonical models and semantic standards across SAP, Salesforce, MDM, and downstream analytics platforms.

We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.

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