VP of Data
Fintech
Hybrid in NYC area
$250,000 - $275,000 base + equity + benefits
THE COMPANY
Harnham is working with an innovative fintech that creates real economies in virtual worlds to help studios and creators embed frictionless payments and digital currencies.
They are looking for a VP of Data who will lead data strategy, owning everything from infrastructure to insights. The mission: turn raw data into a powerful engine for smarter decisions, faster operations, and bold product innovation-while keeping compliance rock solid.
RESPONSIBILITIES
• Own data strategy, roadmap and vision
• Instill data governance practices, driving governance standards for relevant financial regulations
• Lead data architecture - modernizing data ecosystem, warehouse, data lakes, ETL pipelines
• Lead the company's data and machine learning strategy
• Partner with cross-functional departments and C-suite stakeholders (engineering, product, marketing, advertising)
• Manage data products - build & scale applications to automate processes
• Oversee business intelligence function - driving insights, dashboards and reports
SKILLS AND EXPERIENCE
• 10+ years in data roles, including 3+ years in leadership (VP/Director).
• Proven success in FinTech, payments, or regulated financial services.
• Expertise in data governance, quality, and risk management.
• Cloud data warehouses (Snowflake, BigQuery, Redshift).
• ETL/ELT, orchestration tools (Airflow, dbt), CI/CD for pipelines.
• BI tools (Looker, Tableau, Metabase), SQL & Python.
• AWS data stack (Redshift, Glue, S3) and Terraform.
Bonus
• Experience in crypto or gaming industries.
• Degree in Computer Science, Statistics, or related field.
BENEFITS
The compensation package contains a base salary, equity and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Data Science | Business Intelligence | BI | Engineering | Fintech | Production | Real Time | Gaming | Regulation | Python | Compliance | Regulatory | Startup | Executive | Data Governance | Data Architecture | Artificial Intelligence
