AI Summary
Lead data and AI initiatives, drive roadmap, and build a team. Develop data ecosystem, ingestion, modeling, governance, and BI. Partner with Risk to deliver reproducible datasets.
Key Highlights
Define and drive long-term roadmap for data ecosystem
Own and evolve Debezium-based CDC infrastructure
Build and lead a best-in-class team across Data Engineering, Analytics Engineering, and Data Science/ML Engineering
Partner with Risk to deliver reproducible training-ready datasets
Architect data foundations for ML and AI workloads
Technical Skills Required
Benefits & Perks
Competitive base salary $220,000-$260,000
100% remote opportunity
Attractive company subsidized Medical, Dental and Vision plans
401K Plan with Company Match
Life Insurance at No Cost to Employees
Generous Time Off Plan Including Rollover Vacation Days
Commuter Benefits
Health Care and Dependent Care Flexible Spending
Weekly breakfast, snacks and Friday lunches provided onsite
Job Description
Our client is a small to medium business lender and they're looking to add a VP of Data and AI who will be reporting directly to the CTO. This is a 100% remote opportunity with a competitive base salary ranging from $220,000-$260,000.
**This role is not eligible for visa sponsorship. All applicants must be authorized to work for any employer in the US.
A Day in the Life of a VP of Data and AI
- Define and drive the long-term roadmap for our data ecosystem, covering ingestion, modeling, governance, observability, and BI.
- Own and evolve our existing Debezium-based CDC infrastructure, ensuring reliability, scalability, and strong schema-change handling.
- Oversee ingestion from SQL Server and cloud storage; extend ingestion to additional data sources and third-party systems.
- Build and lead a best-in-class team across Data Engineering, Analytics Engineering, and future Data Science/ML Engineering.
- Partner with Risk to deliver reproducible training-ready datasets—feature sets, label pipelines, temporal models, monitoring tables.
- Architect data foundations that support ML and AI workloads, including feature pipelines, embedding/vector layers, and model governance.
- Establish and enforce data governance: semantic consistency, naming conventions, data contracts, PII handling, lineage, and access controls.
- Drive performance and cost optimization across Snowflake, transformations, ingestion workflows, and BI workloads.
- Ensure the BI layer is reliable, governed, and trustable, with well-modeled marts and consistent metrics.
- Set technical standards, mentor team members, and create a culture of high-quality, testable, maintainable data work.
Requirements
- 10+ years across data engineering, analytics engineering, ML infrastructure, or related fields; 3–5+ years in leadership.
- Proven experience scaling Snowflake and DBT in production.
- Strong background with SQL Server ingestion patterns, cloud-storage pipelines, and SaaS data integrations.
Position Benefits:
- Attractive company subsidized Medical, Dental and Vision plans with leading insurance providers
- 401K Plan with Company Match
- Life Insurance at No Cost to Employees
- Generous Time Off Plan Including Rollover Vacation Days
- Commuter Benefits
- Health Care and Dependent Care Flexible Spending
- Weekly breakfast, snacks and Friday lunches provided onsite
- Remote working model