VP, Data Operations

HealthVerity • Philadelphia, PA

2d • Hybrid

About The Position

The Vice President of Data Operations owns the strategy, operating model, and performance of HealthVerity’s Data Management function and data lifecycle, from data acquisition and onboarding through production availability, recurring refreshes, and ongoing operational health. The role leads the Integrations, Data Onboarding, and Data Operations teams, ensuring data is made available for client and business use quickly and reliably.

The VP will build scalable, repeatable processes with clear ownership, effective cross-functional handoffs, strong quality controls, and increasing automation. The role establishes operational metrics and accountability to improve speed, quality, reliability, and first-time-right outcomes, while connecting operational performance to client outcomes and revenue. It also oversees complex, business-critical initiatives and issues, develops organizational expertise in healthcare data, and serves as a trusted partner to executive leadership.

The position is based in a hiring location in the Philadelphia area or an approved hub/state. Philadelphia-area employees work in a hybrid model with three required in-office days per week; remote work is supported in specified hubs and approved states.

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 to connect operational performance to client outcomes, revenue, and broader company objectives.
• Proven change leadership, sound judgment in ambiguity, 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.

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 clear KPIs and accountability.
• Improve end-to-end data onboarding so it is 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 teams involved in the data lifecycle.
• Lead and develop the Integrations, Data Onboarding, and Data Operations teams and build a high-performing organization centered on 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 visibility into the onboarding portfolio and production operations, including KPI performance, risks, dependencies, capacity constraints, and matters 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 how data is onboarded and operated.

Benefits

• Competitive base salary and annual bonus opportunity for non-commissioned roles.
• 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.
• Flexible location, including remote workdays and three days per week of in-office collaboration for Philadelphia-area team members.
• Generous paid time off 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 library of resources.
• Professional development support, including biweekly one-on-ones, goal- and growth-oriented leadership, and an annual professional development budget.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed