HealthVerity

HealthVerity

Director, Forward-Deployed AI Solutions

Philadelphia, PA · Director · Full-time

Sponsorship not specified$190k-$240kDetected 30 days ago
PythonData StructuresSQLDatabricksData EngineeringLLMsRAGEmployment LawEHR/EMRLeadershipCommunicationCollaborationMentoring

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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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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.

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About the role

  • sometimes deterministic automation, an existing platform, or a process redesign will be the better answer.
  • This is a senior, hands-on builder role for an operations-minded problem solver-not a traditional software engineering position.
  • Sometimes that solution will use AI; sometimes deterministic automation, an existing platform, or a process redesign will be the better answer.

Responsibilities

  • Build and ship AI-enabled tools, workflows, and automations directly with the analysts and teams who'll use them
  • Own your tools past the demo stage - make sure the underlying data logic is sound and the tool holds up as usage scales, partnering with engineering to productionize and incorporate into enterprise tooling
  • Use current AI/LLM tooling (agents, RAG, coding assistants) to build faster, and know when a lightweight tool or application is the right call versus when it needs to be a real engineered solution
  • Design appropriate human review, exception handling, monitoring, and governance into each solution from the beginning
  • Take ownership of a defined portion of the AI/tooling roadmap for RWDS with minimal oversight - you're expected to drive, not just execute against someone else's plan
  • Train the RWDS and dependent teams on AI tooling and maintain ongoing communication to support adoption
  • Discover and document how work actually happens: the people, approvals, exceptions, and informal tools (spreadsheets, Slack threads, workarounds) that fill the gaps in official process
  • sometimes deterministic automation, an existing platform, or a process redesign will be the better answer. Your job is to make that judgment and own the outcome.
  • Your job is to make that judgment and own the outcome.

Requirements

  • Track record of driving a project or initiative from ambiguous problem to shipped solution with real adoption, without needing heavy oversight
  • Demonstrated experience with LLM-based tools and practical AI integration patterns
  • Ability to understand data structures, trace data through a workflow, validate business logic, and collaborate effectively with analysts and engineers
  • Understanding of responsible AI and data governance in a regulated industry
  • Able to recognize when a lightweight solution is appropriate-and when security, scale, data complexity, or reliability requires engineering partnership
  • Strong communication skills - able to explain technical tradeoffs to non-technical stakeholders and turn a vague business ask into a scoped technical plan
  • Analytics/data engineering, or ETL background, or equivalent depth working directly with large relational databases (SQL, Python, Databricks, or equivalent)
  • Experience building playbooks, training programs, or enablement materials that scaled technology adoption across a team
  • Some prior leadership or informal mentorship experience - this role is expected to grow into more ownership over time
  • Experience evaluating or piloting new AI platforms and tools, and making a real build-vs-buy call rather than just experimenting
  • Exposure to complex analytics workflows leveraging large data environments
  • Familiarity with real-world healthcare data (claims, EHR, labs, registries, or similar patient-level datasets) and how it's used in life sciences work

Compensation

  • competitive base salary & annual bonus opportunity (for non-commissioned roles)
  • Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
  • biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits

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.
  • At HealthVerity, we're working towards an innovative and connected future for healthcare data and believe the future is better together.
  • Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
  • Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
  • Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area.
  • Flexible location:

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.