Sr. Director Client Service (Healthcare Provider)

Client Partner, Engineering & AI, Healthcare

Must have:

• • Build and own the engineering and technology growth plan for our strategic enterprise health accounts, including relationship maps, target use cases, and a qualified pipeline.

  • Develop relationships with technology, data, security, and AI leaders, from VP and senior director levels up to the C-suite.

  • Use our existing experience and digital relationships as a bridge. Work with the account’s Client Partners to earn introductions, and share credit transparently.

  • Sell and shape fixed-scope engineering sprints and pilots, then convert them into retained engineering teams and managed services.

  • Work with solution architects, Forward Deployed Engineers, and global delivery to scope, price, and staff engagements.

  • Position our AI-enabled engineering approach, including governance, human oversight, and traceability, with technical, risk, and compliance stakeholders.

  • Navigate procurement, vendor risk, and security review at a large enterprise, and compete against global integrators.

  • Forecast accurately in our CRM, and contribute account intelligence and lessons learned to the team.

What you bring

• 12+ years of experience in enterprise technology services or consulting, with a proven track record of growing healthcare provider accounts through engineering, data, cloud, and AI services.

• Strong healthcare provider experience working with large hospital systems, hospital networks, or integrated delivery networks (IDNs).

• Experience supporting EHR/EMR implementations and modernization, including Epic or Oracle Health, with an understanding of revenue cycle management.

• Established relationships, or demonstrated success building relationships, with CIOs, CTOs, CDOs, and senior technology leaders within healthcare provider organizations.

• Strong understanding of healthcare provider operations, clinical workflows, patient access, interoperability, and data modernization.

• Ability to identify and expand Engineering & AI opportunities within existing client relationships, including cloud modernization, data platforms, custom engineering, product engineering, and AI-enabled transformation.

• Experience shaping and growing complex technology consulting engagements into larger, multiyear programs.

• Ability to collaborate with solution architects, engineering teams, and global delivery organizations.

Good to have:

• Healthcare payer experience, including relationships with major health insurance organizations.

• Experience expanding engineering services across both healthcare provider and payer accounts.

• Familiarity with Snowflake, Databricks, Google Cloud, or healthcare data platforms.