Information Architect
Role details
Job location
Tech stack
Job description
In this role, you will establish and enforce standards for data modeling, taxonomy, and semantic structures to ensure consistency, interoperability, and clarity across the organization. You will collaborate closely with business and technology teams to develop and sustain enterprise data domain models and ontologies that strengthen data governance frameworks and enable trusted data use., * Drive the creation and ongoing enhancement of the enterprise data domain model, taxonomy, and ontologies to promote shared understanding, semantic alignment, and easy discovery of data assets.
- Lead the assessment, selection, and acquisition of data governance technologies, including data catalog/lineage, data quality/observability, and master data management solutions.
- Serve as the owner and enabler of all enterprise-wide data governance technologies, such as metadata management, data cataloging, data quality, and master data management platforms.
- Implement and operationalize data models and taxonomies within the Enterprise Data Catalog solution.
- Manage the provisioning and rollout of enterprise data governance tools across Global Business Units (GBU) and international locations.
- Establish and enforce standards for data modeling, taxonomy, naming conventions, and semantic structures to ensure interoperability and consistency across business domains.
- Offer guidance on resolving semantic conflicts by addressing definitions of discrepancies, aligning terminology, and mediating cross-domain dependencies.
- Automate and enforce data policies, standards, and architectural principles using measurable metrics to ensure alignment between the Data Governance Office (DGO) and execution teams.
- Partner with GBUs to support their adoption and onboarding into modern data governance platforms.
- Travel as required.
- Other duties which may be assigned as needed.
Requirements
Education & Years of Experience
- Bachelor's degree in computer science, Engineering or equivalent experience
- 10+ years of experience working with data governance, metadata and data quality frameworks with 5+ years' experience in data modeling, data catalog and data quality/observability monitoring tools, * Experience working in Architecture, Engineering & Construction (AEC) or similar.
- Experience leading the creation of enterprise business glossaries, domain models, and ontologies to support semantic consistency and a shared organizational understanding.
- Demonstrated strong proficiency in core data management disciplines, including data governance, data quality, master data management, data lineage, data modeling, and metadata management.
- Proven ability to build and operationalize metadata governance programs, including policies, standards, defined roles, and oversight controls.
- Strong verbal and written communication skills, enabling effective collaboration across technical and business stakeholders.
- Hands-on experience implementing and scaling enterprise data catalog platforms such as Alation, Atlan, Collibra, and Informatica, etc. including workflow design, stewardship assignments, and adoption strategies.
- Track record of delivering outcomes through collaborative, enterprise-wide teamwork across both business and data organizations.
- Deep business acumen in connecting data to business processes, performance drivers, and value-focused outcomes.
- Extensive knowledge of data and metadata management principles, business analysis, and process engineering practices.
Benefits & conditions
At Haskell, we offer a comprehensive benefits package, including health insurance, retirement plans, professional development opportunities, and more. Join us and be part of a team where your contributions make a difference.