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Veterinary Emergency Group (VEG ER)

After-hours emergency veterinary care provider

Data Product Manager - Data Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeWhite Plains, NY, USAIn-person

About the Job

Requirements

  • Strong SQL skills and comfort with databases and data warehouses, such as Snowflake; independently write novel queries, validate joins, investigate anomalies, and identify logic errors.
  • Experience with data pipelines, dimensional data models, or semantic layers, including understanding how raw source data becomes analysis-ready and where it can break.
  • Ability to identify the job to be done within a business problem and translate it into structured data requirements while managing a roadmap or backlog in a fast-moving environment.
  • Ability to explain complex data concepts to non-technical stakeholders and push back credibly on unclear or under-scoped requests.
  • A bachelor's degree in analytics, data engineering, business intelligence, or a related field, or equivalent experience.
  • Take a people-centric approach and make an effort to understand different perspectives.
  • Acknowledge mistakes, share credit, and support the accomplishments of the team.
  • Take ownership of work and responsibility for outcomes, with commitment to long-term results.
  • Ask insightful questions and continually seek opportunities to learn and develop skills and knowledge.

Responsibilities

  • Maintain and prioritize the data engineering backlog for the assigned domain, balancing business impact, technical feasibility, and strategy; partner with Data Engineering to sequence work, allocate resources, and surface tradeoffs to senior leadership and core users.
  • Translate ambiguous business requests into clear, scoped specifications through use-case discovery, identifying the decision, required metric or tool, audience, and success criteria before build work begins.
  • Engage owners of HRIS, scheduling, and clinical source systems on configuration and schema decisions that affect downstream data quality and usability.
  • Design and run quality assurance to validate new and updated data assets, test logic and edge cases, confirm behavior across joins and transformations, maintain validation queries and dashboards, and communicate outage status, cause, and expected resolution.
  • Ensure assets have clear, accurate documentation covering metric definitions, business rules, known limitations, and intended use.
  • Support analytics and business teams in using the domain's data correctly, identify where users struggle, and improve data assets, documentation, and onboarding accordingly.

Desired Qualifications

  • An early-adopter mindset and enthusiasm for using rapidly evolving artificial intelligence tools to improve personal and team effectiveness.

About the Company

Veterinary Emergency Group (VEG ER)

After-hours emergency veterinary care provider

VEG ER provides after-hours emergency veterinary care, operating during nights, weekends, and holidays when ordinary animal hospitals are closed. It serves as an extension of primary veterinary practices, collaborating with regular veterinarians to ensure continuous, urgent care for pets. Pet owners access immediate emergency consultations, treatments, and procedures, with VEG ER handling high‑stress cases when regular clinics are unavailable. The service model centers on rapid response and close partnership with referring vets rather than standing alone, and revenue comes from fees for emergency consultations and procedures. The team is led by Dr. David Bessler, who aims to transform emergency veterinary medicine through a holistic and openly collaborative approach. The goal is to fill the after-hours care gap by providing reliable, high-quality emergency services that integrate with primary care providers.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$100M
Headquarters
White Plains, NY
Founded
2014

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