Raymond James is looking to design, deliver, and operate enterprise platforms and tools that enable effective data management and governance across the organization, including metadata management, data quality, data cataloging, lineage tracking, master/reference data management, and stewardship workflows.
Requirements
- Deep knowledge of enterprise data platform ecosystems (e.g., Collibra, Informatica, Ab Initio, OneTrust, or comparable).
- Experience with metadata management, data lineage, data quality frameworks, and MDM.
- Understanding of data integration, cloud-native data platforms (AWS/Azure/GCP), and streaming architectures.
- Hands-on experience with tool automation, APIs, workflow engines, and integration with ETL/ELT and BI tools.
- Familiarity with data privacy, information classification, regulatory reporting, and data access controls.
Responsibilities
- Develop and execute the enterprise strategy for data management platform integration in alignment with data architecture, data governance, and enterprise architecture priorities.
- Own integration roadmap for key tooling platforms (e.g., Ab Initio, Informatica, AWS Glue, OneTrust, etc.).
- Design and implement scalable, modular, and resilient solutions for metadata harvesting, lineage tracking, data quality rule execution, and stewardship workflows.
- Ensure tools are integrated with enterprise data platforms, reporting solutions, and data ingestion/processing pipelines.
- Ensure tooling platforms are available, secure, performant, and monitored according to SLAs.
- Lead the development of self-service capabilities for data producers and consumers across business units.
- Partner with Data Governance to automate policy enforcement and reporting.
Other
- This position follows our hybrid-friendly schedule, so you get the best of both worlds – flexibility and collaboration. In office days will be 2-3 per week averaging 10-12 days per month in our St Petersburg, FL Corporate Office.
- Bachelor’s degree in Computer Science, MIS, Data Management, or a related field; Master’s preferred.
- 10+ years of experience in enterprise data management or related technical leadership roles.
- Strong leadership, project management, communication, and vendor management skills.
- Financial services experience strongly preferred.
- Financial Services experience is required.
- Experience in the enterprise implementation, leadership experience, strategic planning, strong business acumen.
