Data Relationship Manager - DRM 25-33986

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
No Travel Required

Skills

Usability
Workflow
Resource Description Framework
SPARQL
Semantic Web
Semantics
Meta-data Management
Information Systems
Lifecycle Management
Linked Data
Data Quality
Data Stewardship
Data Structure
Database
Documentation
Business Operations
Management
OWL
Ontologies
Organizational Skills
Enterprise Architecture
HR Management
Reporting
TOGAF
Data Integrity
Communication
Customer Relationship Management (CRM)
Data Collection
Data Governance
Asset Management
Attention To Detail
Business Analysis
Business Data
Clarity
Data Management
Data Modeling
Enterprise Resource Planning
ISO 9000

Job Details

Job Title: Data Relationship Manager

Location: Phoenix, AZ
Duration: 1 3 Years

About the Role

We are seeking a highly motivated and detail-oriented Data Relationship Manager to support enterprise-wide data identification, documentation, integration, and governance efforts. This role functions as a bridge between business operations and data stewardship, ensuring the integrity, clarity, and usability of information across multiple systems. The ideal candidate will be skilled in organizing complex data structures and supporting strategic data asset oversight.

Key Responsibilities

Data Identification & Documentation

  • Partner with business units to identify critical data elements across facilities, HR, operations, and asset management.

  • Document data sources, definitions, relationships, and workflows in a structured, accessible manner.

Data Ontology & Semantics

  • Develop and maintain data ontology frameworks to ensure consistent definitions and relationships.

  • Align business terminology with technical metadata for semantic clarity and system interoperability.

Data Integration

  • Work with technical teams to integrate and structure business data across multiple enterprise platforms.

  • Ensure data consistency, accuracy, and completeness across systems and technologies.

Workflow Support

  • Map and document data collection and maintenance workflows to support operational and strategic asset management needs.

Reporting & Configuration

  • Collaborate with stakeholders to define reporting requirements.

  • Assist in configuring application settings that support asset management and data governance goals.

Data Governance & Quality

  • Advocate for data quality standards and contribute to data governance processes.

  • Monitor data integrity and coordinate resolution of discrepancies or data gaps.

Stakeholder Engagement

  • Serve as liaison between business teams, IT, and asset management groups to align data needs with system capabilities.

Continuous Improvement

  • Recommend enhancements to data management processes, metadata practices, and asset tracking methodologies.

Qualifications

  • Bachelor s degree in Information Systems, Business, Data Management, or related field (or equivalent experience).

  • 3+ years of experience in data management, business analysis, ERP/CRM/HCM systems, or related domains.

  • Strong understanding of semantic web technologies (RDF, OWL, SKOS, SPARQL).

  • Experience with metadata standards (e.g., ISO 11179) and metadata management tools.

  • Solid understanding of data modeling, data lifecycle management, and workflow documentation.

  • Familiarity with asset management, ERP, CRM, or HCM platforms (preferred).

  • Proficiency in reporting tools and database querying.

  • Ability to define and enforce data definitions, lineage, and usage standards.

  • Excellent communication skills, especially in translating technical concepts to non-technical stakeholders.

  • Strong ability to abstract, organize, and communicate complex data relationships.

Preferred Certifications (Optional)

  • DAMA Certified Data Management Professional (CDMP)

  • TOGAF (Enterprise Architecture)

  • Certified Knowledge Manager (CKM)

  • Semantic Web / Linked Data certifications

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.