Data Relationship Manager

Data Relationship Manager

We are seeking a highly motivated and detail-oriented Data Relationship Manager to join our team. This position plays a critical role in identifying, documenting, organizing, and integrating business data into our enterprise systems. The ideal candidate will bridge the gap between business operations and data stewardship, ensuring data integrity and usability to support effective data asset oversight.
Key Responsibilities

Data Identification & Documentation: Collaborate with business units to identify critical data elements required for facilities, HR, operations and enterprise asset management. Document data sources, definitions, and workflows in a structured and accessible format.
Data Ontology & Semantics: Drive the development and maintenance of data ontology frameworks to ensure consistent data definitions and relationships across the organization. Collaborate with stakeholders to align business concepts with technical metadata, enabling semantic clarity and interoperability across systems.
Data Integration: Collaborate with technical teams to structure and integrate business data across enterprise systems, ensuring consistency, accuracy, and completeness regardless of platform or technology stack.
Workflow Support: Assist the business in understanding the data collection and maintenance processes, including mapping workflows to support operational and strategic asset management needs.
Reporting & Configuration: Collaborate with stakeholders to define and develop reporting requirements. Support the identification and configuration of application settings that align with asset management goals.
Data Governance & Quality: Champion data quality standards and contribute to data governance practices. Monitor data integrity and coordinate with relevant teams to address discrepancies or gaps.
Stakeholder Engagement: Act as a liaison between business users, IT, and asset management teams to align data needs with system capabilities and organizational objectives.
Continuous Improvement: Recommend enhancements to data management processes and asset tracking methodologies based on evolving business needs.
Qualifications

Bachelor's degree in Information Systems, Business, Data Management, or related field; equivalent experience considered.
3+ years of experience in data management, business analysis, ERP, CRM, or HRM systems.
Deep understanding of semantic web technologies, including knowledge of RDF, OWL, SKOS, SPARQL, and related standards.
Experience with metadata standards (e.g., ISO 11179) and tools.
Strong understanding of data modeling, data lifecycle, and workflow documentation.
Familiarity with asset management, CRM, ERP or HCM platforms is a plus.
Proficient in reporting tools and database querying
Ability to define and enforce data definitions, lineage, and usage standards.
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
Strong ability to abstract and organize complex data relationships.
Certifications (Optional but Valuable)

DAMA Certified Data Management Professional (CDMP)
TOGAF (for enterprise architecture)
Certified Knowledge Manager (CKM)
Linked Data or Semantic Web certifications
Why Join Us

Work in a collaborative, forward-thinking environment
Play a key role in shaping data-driven decision-making processes
Opportunity to make a lasting impact on operational efficiency and asset management.