HealthVerity

HealthVerity

VP, Data Operations

Philadelphia, PA · Vp · Full-time

Sponsorship not specified$220k-$285kDetected 2 days ago
Data EngineeringOnboardingEmployment LawLeadershipCollaborationMentoring

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$65,4581 entry
Level II$85,6542 entries
Level III$105,8303 entries
Level IV$126,0274 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Financial and Investment Analysts (13-2051) · Philadelphia-Camden-Wilmington, PA-NJ-DE-MD. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

44 transfer filings in the last year, covering 44 workers. Median labor-condition decision: 6 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • You will continuously improve how we onboard and operate data, creating scalable, repeatable processes with clear ownership, seamless cross-functional handoffs, strong quality controls, and increasing levels of automation.
  • You will set the operational metrics and accountability that expose bottlenecks and improve speed, quality, reliability and first-time-right outcomes.
  • Working closely with Engineering, Product, Delivery, Client Services, Privacy and Sales, you will tie data operations to client outcomes and revenue.

Responsibilities

  • Drive measurable improvements in speed to warehouse availability, data quality, operational reliability, and time to revenue, establishing clear KPIs and accountability for achieving these outcomes.
  • Lead and develop the Integrations, Data Onboarding, and Data Operations teams, supporting a high-performing organization and leadership structure centered on accountability, collaboration, continuous improvement, and employee development.
  • Partner closely with Engineering, Product, Client Services, Privacy, Data Partnerships and other stakeholders to establish priorities, coordinate cross-functional dependencies, and ensure Data Management capabilities align with client and business needs.
  • Foster a culture of continuous improvement in which teams identify systemic root causes, implement sustainable solutions, automate controls where possible, and continually improve how data is onboarded and operated.
  • You will oversee complex, business-critical initiatives and issues, build an organization that solves problems at their source, serve as a trusted partner to executive leadership and as a thought leader across the organization.

Requirements

  • 10+ years in data or technology, including senior leadership of complex, large-scale data environments.
  • Deep knowledge of modern data platforms: ingestion pipelines, ETL/ELT, warehousing, orchestration, data quality, and observability.
  • Proven change leadership, sound judgment in ambiguity, and the ability to turn technical topics into clear executive recommendations.
  • Required
  • Ownership of end-to-end data operations, from acquisition and ingestion through production availability, including complex integrations with third-party data suppliers.
  • Track record of building operating models, processes, and org structures at scale, and of 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.
  • Skilled in prioritizing competing demands across onboarding, production operations, client commitments, technical debt, and strategic work.
  • Experience with healthcare or pharmaceutical data and its quality and operational requirements strongly preferred.
  • Business acumen that connects operational performance to client outcomes, revenue and broader company objectives.
  • Technically fluent and hands-on when needed, with the judgment to know when to dive in and when to empower teams to execute.
  • Base salary for the role is commensurate with experience and can range between $220,000 - 285,000 + annual bonus opportunity.
  • Hiring Locations

Compensation

  • competitive base salary & annual bonus opportunity (for non-commissioned roles)

Benefits

  • We offer health, dental, and vision coverage starting on day 1.
  • We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
  • Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
  • 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
  • Build organizational expertise in healthcare data, data stewardship, data quality, and the interpretation and operationalization of complex healthcare datasets.
  • Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area.

Company info

  • Why you'll love working here We are making a difference - Our technology is at the forefront of some of the biggest healthcare challenges in the world.
  • We are one team - Our people define our culture and always will.
  • We are learners - Every team member is continually learning, no matter if we've been in a role for one year or much longer.
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This listing is sourced directly from HealthVerity's careers page and normalized into a canonical job model.