Head of Data

Addition•New York, NY

10d•Remote

About The Position

Addition Wealth is looking for a Head of Data to own and advance our data strategy, infrastructure, and insights as we scale. This is a player/coach role: you’ll lead a small but high-impact team (a Data Analyst and a Senior Data Engineer), while staying deeply hands-on in both analytics and data engineering.In this role, you’ll set direction for how data is built, governed, and used across Addition Wealth, partnering closely with cross-functional leaders to turn business priorities into clear, measurable outcomes. You’ll lead and develop a lean, high-impact team while remaining hands-on.

Requirements

7–10+ years in data-focused roles spanning analytics and/or data engineering, ideally in high-growth startups or fintech.
Proven ability to operate as a senior IC while also leading a small team—comfortably switching between strategy and execution.
Deep expertise in SQL, data modeling, and analytics best practices.
Strong experience building and maintaining data pipelines and warehousing solutions (Postgres, Snowflake/Redshift, Segment, dbt, Airflow, or similar).
Experience with AWS-based data infrastructure (S3, Lambda, Glue, Step Functions, ECS, etc.) and infrastructure-as-code (Terraform/CloudFormation).
A strong product and business mindset: you care about impact, not just outputs.
Excellent communication skills; you can cut through the noise to develop clear plans and crisp insights for technical and non-technical audiences.
Comfort in ambiguity and speed: you launch, learn, iterate, and don’t wait for perfection.

Nice To Haves

experience with Matillion, financial wellness, or other regulated/consumer fintech products.

Responsibilities

Define and drive Addition Wealth’s data vision and roadmap across analytics, infrastructure, governance, and personalization, ensuring work ladders to company priorities.
Partner with cross-functional leaders to surface high-leverage questions, translate them into measurable metrics, and guide decision-making with clear insights.
Lead, mentor, and develop a small, high-impact team (Data Analyst and Senior Data Engineer), providing coaching and technical direction while staying hands-on.
Own the end-to-end analytics lifecycle—metric definition, data quality, dashboards, deep dives, and executive-ready narratives including scenario modeling.