VP, Data

10+ years of experience in data engineering or data platform leadership, including prior VP / Head of Data Engineering scope (or equivalent)

Proven ownership of data systems directly tied to revenue, billing, or financial outcomes

Deep expertise in modern data architectures (batch + streaming, warehouses, orchestration, modeling)

Comfortable doing vendor evaluations, build vs buy decisions, and success implementing infrastructure projects.

Strong command of data quality, lineage, observability, and governance — with pragmatic execution

Experience stewarding data lifecycle with ML models, both traditional supervised learning as well as LLM-based models

This posting is anticipated to remain open until 5/8/2026. The new hire salary range for this position is $275,000 - $310,000 annually. Factors which may affect the starting pay within this range include skills, experience, and other qualifications aligned with Updater's internal leveling guidelines.

About Updater

Updater is a leading technology platform helping major brands acquire and retain customers at scale. We are on a mission to power millions of complex transactions through intelligent, autonomous systems. By combining deep integrations, real-world data, and purpose-built AI agents, we’re transforming fragmented purchasing workflows into seamless, automated experiences – freeing businesses and consumers from operational friction and enabling a new standard of speed, accuracy, and scale.

Updater has raised over $450 million from leading investors, including SoftBank Capital, Vista Credit Partners, IA Ventures, Commerce Ventures, Second Century Ventures (the strategic investment arm of the National Association of Realtors®), and more. For more information, please visit www.updater.com.

Updater is proud to be an equal opportunity employer and will consider all qualified applicants regardless of color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, actual or presumed belonging to an ethnic group, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Benefits:

Data Strategy & Architecture

Own the long-term data strategy in partnership with Engineering, Finance, Product, and Executive Leadership.

Define and evolve the end-to-end data architecture across acquisition, transactions, fulfillment, revenue recognition, and lifecycle events.

Design scalable, auditable systems that accurately model complex, multi-role KPIs while balancing speed, accuracy, and cost.

Current stack includes Snowflake, Looker, Python, Postgres, and SQL Server.

Revenue & Risk Intelligence