Director, Forward-Deployed AI Solutions

HealthVerity; New York (NY); Hybrid; USD 190,000 - 240,000; Full time

Benefits offered by this job

Competitive base salary

Annual bonus opportunity

Health, dental, and vision coverage

401(k) plan and equity program

Remote-friendly/hybrid options

Generous PTO

Parental leave and onboarding

Professional development support

Job summary

HealthVerity is seeking a forward-deployed AI operator within Real-World Data Solutions (RWDS). You will embed with teams, observe workflows, and build AI-enabled tools or deterministic automations to deliver measurable value.

This senior, hands-on role blends AI, automation, analytics, and low-code with production-grade partnerships. You will own parts of the AI/tooling roadmap, train teams, and ensure adoption across clients while balancing speed and governance in a regulated healthcare data

Qualifications

• Able to understand data structures and validate business logic.
• Proven track record delivering shipped solutions with real adoption.
• Hands-on experience with LLM-based tools and practical AI integration.
• Understanding of responsible AI and data governance in regulated settings.
• Able to recognize when a lightweight solution is appropriate—and when engineering is needed.
• Strong communication to explain tradeoffs to non-technical stakeholders.

Responsibilities

• Discover and document how work actually happens: people, approvals, exceptions, and informal tools.
• Build and ship AI-enabled tools, workflows, and automations with the analysts and teams.
• Own tools past the demo stage—ensure data logic and scale; partner with engineering to productionize.
• Use current AI/LLM tooling to build faster and know when a lightweight tool is enough.
• Design human review, exception handling, monitoring, and governance from the start.
• Gather voice-of-client feedback from analysts and stakeholders to shape what to build.
• Pilot new tools with real users before scaling team-wide and incorporate feedback.
• Communicate technical decisions and tradeoffs to non-technical stakeholders.
• Take ownership of a portion of the AI/tooling roadmap with minimal oversight.
• Train RWDS and dependent teams on AI tooling and adoption.

Skills

Data tracing

Data validation

Analyst collaboration

LLM tools

Responsible AI

Engineering partnership

Communication

Job description

ROLE OVERVIEW

As a forward-deployed AI operator within Real-World Data Solutions (RWDS), you will work at the intersection of people, process, data, and technology to turn messy operational challenges into AI-enabled systems that perform in daily work.

ROLE OVERVIEW

As a forward-deployed AI operator within Real-World Data Solutions (RWDS), you will work at the intersection of people, process, data, and technology to turn messy operational challenges into AI-enabled systems that perform in daily work.

You will embed directly with the teams doing the work: observing how workflows actually operate, identifying the right intervention, building the smallest useful solution, testing it with real users, and improving it until it delivers measurable value. Sometimes that solution will use AI; 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.

This is a senior, hands-on builder role for an operations-minded problem solver—not a traditional software engineering position. You should be comfortable building with modern AI, automation, analytics, and low-code tools, while partnering with data and engineering teams when a solution requires production-grade infrastructure.

Because this role sits at the center of how RWDS delivers for clients, the work you do here should show up in two core ways: how clients experience working with us, and how profitably we operate

KEY RESPONSIBILITIES

• 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
• 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
• Actively gather voice-of-client feedback from analysts and business stakeholders to determine what should be built
• Pilot new tools with a small group of real users before scaling team-wide, and use that feedback to shape the broader rollout
• Communicate technical decisions and tradeoffs clearly to non-technical stakeholders
• 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

QUALIFICATIONS

Required

• Ability to understand data structures, trace data through a workflow, validate business logic, and collaborate effectively with analysts and engineers
• 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
• 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

Preferred

• 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

We welcome portfolios, capstone projects, workflow maps, automation examples, or case studies that demonstrate how you diagnosed a problem, chose an approach, built and deployed a solution, earned user adoption, and measured the result. We care more about demonstrated judgment and shipped outcomes than whether your previous title included “AI.”

Base salary for the role is commensurate with experience and can range between $190,000 - 240,000 + annual bonus opportunity.

Hiring Locations

Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.

For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team‑building, collaboration, and strategic planning.

Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:

Hub Locations

• Philadelphia, Pennsylvania
• Boston, Massachusetts
• New York City, New York
• Baltimore, Maryland
• Washington, D.C.
• Charlotte, North Carolina
• Raleigh‑Durham, North Carolina
• Atlanta, Georgia
• Chicago, Illinois

Approved States for Remote Work

CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.

About HealthVerity

HealthVerity is the leader in privacy‑protected real‑world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com.

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 take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.

We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.

Benefits & Perks

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)
• 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.
• Flexible location: Remote workdays and 3 days a week of in‑office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
• Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
• Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non‑childbearing parents.
• Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
• 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

We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.

If you require a reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [e-mail].

Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.