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. **Job Summary:** The **Director of Data Management Technical Platforms** is responsible for designing, delivering, and operating the enterprise platforms and tools that enable effective data management and governance across Raymond James. This includes metadata management, data quality, data cataloging, lineage tracking, master/reference data management, and stewardship workflows. This role works in close partnership with the Head of Data Architecture, Enterprise Data Management, IT engineering, data governance, and business stakeholders to ensure the data tooling ecosystem supports the firm’s data strategy, regulatory requirements, and operational needs. The role manages a technical team responsible for tool configuration, integration, enablement, and ongoing platform support. **Responsibilities:** + **Platform Strategy & Roadmap** + 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.). + **Tooling Architecture & Implementation** + 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. + **Operations & Service Delivery** + 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. + **Partnerships & Enablement** + Partner with Data Governance to automate policy enforcement and reporting. + Collaborate with Data Architecture to ensure tooling capabilities reflect target state patterns. + Enable Data Stewards, Custodians, and Analysts with onboarding, training, and support for tooling usage. + **Compliance & Controls** + Support regulatory compliance, internal audit, and legal discovery requirements through data cataloging, access audits, lineage, and classification platforms. + Embed controls for secure data handling and privacy tagging in tooling implementations. + **Leadership & Talent Development** + Build and lead a team of engineers, analysts, and platform owners. + Foster a culture of innovation, reliability, and enablement across the data ecosystem. **Experience Skills:** + 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. + 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** . + 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.