Hologic is looking to shape its organization’s data landscape by designing, developing, and optimizing conceptual, logical, and physical data models to ensure data integrity, scalability, and accessibility, enabling advanced analytics and informed business decisions across multiple functions.
Requirements
- Strong knowledge of data modeling concepts (conceptual, logical, physical) and enterprise data architecture.
- Proficiency with modern data modeling tools (e.g., ER/Studio, Erwin, UML, Microsoft Visio, Lucid).
- Experience with cloud data platforms, particularly Microsoft Azure and Databricks, for data integration and analytics.
- Experience working with ERP and CRM systems.
- Understanding of data governance, metadata management, data lineage, and MDM strategies.
- Professional certifications in data management, data modeling.
- Experience working with Oracle ERP, Salesforce, and understanding of their data structures.
Responsibilities
- Design, develop, and maintain conceptual, logical, and physical data models that support enterprise analytics and reporting.
- Translate business requirements into scalable, reusable data models aligned with data architecture principles and governance frameworks.
- Create and maintain metadata, data definitions, lineage, and master data management (MDM) structures to ensure clarity and consistency.
- Partner with stakeholders to document and communicate data flows, relationships, and definitions for both technical and non-technical audiences.
- Support BI and analytics initiatives by ensuring data models effectively enable reporting, dashboards, and advanced analytics.
- Ensure compliance with regulatory and security requirements (e.g., HIPAA, GDPR) across all data assets.
- Contribute to continuous improvement by driving best practices in data quality, governance, and modeling standards.
Other
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field and 8 years of professional experience; or Master’s degree with 6 years of experience.
- Excellent communication skills, with the ability to present technical concepts to business and technical audiences.
- Experience working in Agile environments, contributing to iterative delivery and continuous improvement.
- Ability to work independently on diverse, complex problems.
- Travel requirements not specified
