Data Platform Solutions Lead

CAIS • New York, NY

1d • $170,000 - $200,000 • Hybrid

About The Position

CAIS is seeking a Data Platform Solutions Lead to join their Data Team. This role will focus on data governance, data modeling, and internal tool development to enhance the structure, trustworthiness, and usability of CAIS's data ecosystem. The position is central to CAIS's AI initiatives, requiring active use of AI tools and ensuring the data foundation supports these efforts. The Lead will collaborate with various departments, including Product, Engineering, Finance, Sales, and Operations, to translate business needs into scalable, AI-ready data solutions.

Requirements

• Demonstrated experience applying AI tools in a data context — including data governance, data modeling, or pipeline development with a track record of leveraging AI to drive efficiency and better outcomes.
• Experience in data engineering, analytics engineering, or a data architecture role, ideally within financial services or fintech.
• Strong proficiency in SQL and experience with Snowflake for data warehousing and transformation.
• Hands-on experience with dbt for data modeling and workflow management.
• Working knowledge of data governance concepts and tooling; experience with platforms like DataHub, Collibra or Alation is a plus.
• Demonstrated ability to build internal tools or data products that solve practical business problems.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.

Nice To Haves

• Familiarity with Python for data processing or automation.
• Experience with BI and data visualization tools such as Tableau.

Responsibilities

• Design and implement scalable data models that structure raw data into clean, well-documented assets powering analytics, reporting, and downstream applications.
• Own and drive CAIS’s data governance initiatives, including defining data ownership, establishing quality standards, and maintaining a well-cataloged and discoverable data environment.
• Partner with the Data Engineering team to ensure governed data assets are structured and ready for downstream integration.
• Actively leverage AI tools across all aspects of your work — from data modeling and governance to documentation, exploratory analysis, and tool development.
• 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.
• 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.
• Define and enforce data quality checks, identify inconsistencies, and drive resolution across pipelines.
• Partner with business and technical stakeholders to translate requirements into practical data solutions.
• Document data assets, business definitions, and architectural decisions to support a shared understanding of the data ecosystem.

Benefits

• Market competitive salary
• Performance bonus
• Generously subsidized healthcare
• 100% employer paid dental and vision insurance
• Employer matched retirement plan
• Wellness programs
• Generous PTO
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed