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CAIS is seeking a Data Platform Solutions Lead to join its Data Team. The role sits at the intersection of data governance, data modeling, and internal tool development, with a focus on building solutions that make CAIS's data ecosystem more structured, trustworthy, and useful across the organization.
Key responsibilities include designing and implementing scalable data models that transform raw data into clean, well-documented assets powering analytics, reporting, and downstream applications. You will own and drive CAIS's data governance initiatives, including defining data ownership, establishing quality standards, and maintaining a well-cataloged and discoverable data environment. You'll partner closely with the Data Engineering team to ensure governed data assets are structured and ready for downstream integration.
AI is central to this role. You will actively leverage AI tools across all aspects of your work—from data modeling and governance to documentation, exploratory analysis, and tool development. You'll contribute to and guide the development of internal tools and data products that improve how teams across the firm access and act on data, including AI-assisted workflows and automation.
You will ensure data assets are structured, governed, and well-documented to support AI and machine learning use cases, serving as a key enabler of the firm's AI initiatives. You'll define and enforce data quality checks, identify inconsistencies, and drive resolution across pipelines. Collaboration is essential: you'll work closely with stakeholders across Product, Engineering, Finance, Sales, and Operations to translate business needs into scalable, AI-ready data solutions.
CONTEXT: CAIS is the pioneer in democratizing access to and education about alternative investments and structured notes for independent advisors, asset managers, and bank issuers. The platform supports over 50,000 advisors who oversee more than $6 trillion in network assets.
