Design, standardize, and govern how data is structured, integrated, and leveraged across the enterprise.
Define, maintain, and evolve the enterprise canonical data model, ensuring standardization across systems and domains (e.g., customer, contracts, inventory, financials).
Collaborate with the MDM Program Leader to design Profisee MDM data models, hierarchies, and stewardship workflows that align with enterprise standards.
Partner with enterprise architects and solution teams to embed information architecture principles in system implementations, integrations, and analytics platforms.
Develop and enforce metadata, glossary, and data lineage standards using enterprise cataloging/governance tools (e.g., Microsoft Purview).
Establish reusable data design patterns for interoperability across applications, APIs, streaming platforms, and data warehouses/lakes.
Work with business stakeholders to capture requirements and translate them into standardized, reusable models that support operational and analytical use cases.
Conduct architecture reviews of projects and initiatives to ensure compliance with canonical data model and information architecture standards.
Provide guidance and mentorship to data modelers, data stewards, and engineers.
Requirements
10+ years in enterprise data management, data architecture, or information architecture.
Proven experience defining and managing canonical data models across multiple business domains.
Strong knowledge of data modeling techniques (conceptual, logical, and physical).
Hands-on experience with Profisee MDM or equivalent enterprise MDM tools.
Familiarity with metadata and governance platforms (Microsoft Purview, Collibra, Informatica, etc.).
Deep understanding of data integration approaches (ETL/ELT, APIs, streaming, event-driven).
Ability to bridge business and technology perspectives, ensuring models align with enterprise processes and strategies.
Strong facilitation and communication skills, with experience driving consensus across diverse stakeholder groups.
Benefits
Highly competitive compensation package
Excellent benefits
Supportive and inclusive environment
Development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementdata architectureinformation architecturecanonical data modelsdata modeling techniquesETLELTdata integrationAPIsdata governance