VP, Data Operations

HealthVerity•Philadelphia, PA
•$220,000 - $285,000•Hybrid

About The Position

As Vice President of Data Operations, you will own the strategy, operating model, and performance of HealthVerity’s Data Management function and data lifecycle. This includes data acquisition, integration, onboarding, production availability, recurring refreshes, and ongoing operational health. You will lead the teams responsible for bringing data into and through HealthVerity’s healthcare and consumer data ecosystem and making it available for client and business use quickly and reliably. You will improve how data is onboarded and operated by building scalable, repeatable processes with clear ownership, effective cross-functional handoffs, strong quality controls, and increasing automation. You will define operational metrics and accountability to improve speed, quality, reliability, and first-time-right outcomes, while connecting operational performance to client outcomes and revenue. Working closely with Engineering, Product, Delivery, Client Services, Privacy, Sales, Data Partnerships, and other stakeholders, you will oversee complex, business-critical initiatives and issues, provide executive leadership with operational visibility, and build an organization focused on solving problems at their source. You will lead and develop the Integrations, Data Onboarding, and Data Operations teams and serve as a trusted partner to executive leadership and a thought leader across the organization. The role is based in Philadelphia under a hybrid model requiring local employees to work in the office three days per week. Remote work is available in specified hub locations and approved states, subject to location and tax requirements.

Requirements

  • 10+ years of experience in data or technology, including senior leadership of complex, large-scale data environments.
  • Experience owning end-to-end data operations, from acquisition and ingestion through production availability, including complex integrations with third-party data suppliers.
  • Deep knowledge of modern data platforms, including ingestion pipelines, ETL/ELT, warehousing, orchestration, data quality, and observability.
  • Track record of building operating models, processes, and organizational structures at scale and driving automation that measurably improves efficiency, quality, or speed to market.
  • Experience setting operational metrics and running incident management, root-cause analysis, and remediation to manage performance, capacity, and service levels.
  • Skill in prioritizing competing demands across onboarding, production operations, client commitments, technical debt, and strategic work.
  • Business acumen connecting operational performance to client outcomes, revenue, and broader company objectives.
  • Proven change leadership, sound judgment in ambiguous situations, and ability to turn technical topics into clear executive recommendations.
  • Technical fluency and willingness to be hands-on when needed, with judgment about when to dive in and when to empower teams.

Nice To Haves

  • Experience with healthcare or pharmaceutical data and its quality and operational requirements is strongly preferred.

Responsibilities

  • Own the strategy, roadmap, operating model, and performance of the Data Management function, with accountability for data assets from acquisition and onboarding through production availability, recurring refreshes, and ongoing operational health.
  • Drive measurable improvements in speed to warehouse availability, data quality, operational reliability, and time to revenue by establishing KPIs and accountability.
  • Improve the end-to-end data onboarding process to make it efficient, scalable, and repeatable; drive automation across acquisition, onboarding, quality monitoring, and production operations.
  • Establish operating rhythms, ownership, decision rights, escalation paths, monitoring, and root-cause remediation practices across the data lifecycle.
  • Lead and develop the Integrations, Data Onboarding, and Data Operations teams, fostering accountability, collaboration, continuous improvement, and employee development.
  • Partner with Engineering, Product, Client Services, Privacy, Data Partnerships, and other stakeholders to set priorities, coordinate dependencies, and align Data Management capabilities with client and business needs.
  • Provide executive leadership with regular visibility into the onboarding portfolio and production operations, including KPI performance, risks, dependencies, capacity constraints, and areas requiring leadership action.
  • Establish capacity planning and prioritization across new data onboarding, ongoing production operations, client commitments, technical debt, and strategic initiatives.
  • Build organizational expertise in healthcare data, data stewardship, data quality, and the interpretation and operationalization of complex healthcare datasets.
  • Foster continuous improvement by addressing systemic root causes, implementing sustainable solutions, automating controls where possible, and improving data onboarding and operations.

Benefits

  • Competitive base salary of $220,000–$285,000, commensurate with experience, plus annual bonus opportunity.
  • Health, dental, and vision coverage starting on day one.
  • 401(k) plan.
  • Equity program, with new-hire equity grants beginning at the Director level and above.
  • Remote workdays and three days per week of in-office collaboration for team members in the Philadelphia area, subject to location requirements.
  • Generous PTO targeted at four weeks per year, including vacation, personal, and sick time.
  • Paid parental leave: 12 weeks for childbearing, surrogacy, and adoption; six weeks for non-childbearing parents.
  • Comprehensive onboarding, including a mentorship program, departmental talks, and a resource library.
  • Professional development support, including biweekly one-on-ones, goal- and growth-oriented leadership, and an annual budget for professional development pursuits.
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