Talently · 1 month ago
VP of Data and AI
United States
Full-time
Remote
Director/Executive
$220K/yr - $260K/yr
10+ years expTalently is a technology-enabled leader in the Financial Services sector focused on providing flexible financing solutions for small and medium-sized businesses. They are seeking a dynamic VP of Data and AI to define the roadmap for a state-of-the-art data ecosystem, shaping data infrastructure and AI capabilities to drive business impact and technological excellence.
RecruitingStaffing Agency
Hiring Manager
Josh Wu
Responsibilities
Define and drive the long-term roadmap for data ingestion, modeling, governance, observability, and business intelligence
Own and evolve a Debezium-based Change Data Capture (CDC) infrastructure for reliability, scalability, and robust schema-change management
Oversee ingestion processes from SQL Server and cloud storage; expand coverage to new data sources and third-party integrations
Build and lead high-performing teams across Data Engineering, Analytics Engineering, and Data Science/ML Engineering domains
Collaborate with Risk partners to deliver reproducible, training-ready datasets, feature sets, and monitoring tables
Architect foundational data structures to support machine learning and AI workloads—including pipelines, vector layers, and model governance
Establish and enforce comprehensive data governance frameworks covering semantic consistency, data contracts, PII handling, lineage, and access controls
Optimize performance and cost for Snowflake, transformation workflows, and BI reporting layers
Set technical standards, mentor team members, and foster a culture of high-quality, maintainable data work
Qualification
Required
10+ years of experience in data engineering, analytics engineering, ML infrastructure, or related fields, including 3–5+ years in a leadership role
Demonstrated expertise in scaling Snowflake and DBT solutions in production environments
Strong background with SQL Server ingestion patterns, cloud-storage pipelines, and SaaS data integrations
Proven ability to establish data governance, including semantic consistency, PII handling, and access controls
Experience building, leading, and mentoring multidisciplinary data teams
Preferred
Hands-on experience with Debezium-based CDC and schema-change management
Knowledge of BI layer design, reliable metrics modeling, and governance best practices
Expertise in architecting data foundations for enterprise-scale ML and AI workloads
Familiarity with financial services data, risk analytics, and compliance requirements
Industry certifications in data engineering, cloud, or AI/ML technologies
Company
Talently
Recruitment made Easy
11-50 employees
Funding
Current Stage
Early StageRecent News
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