Role & Responsibilities
- 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.
Preferred Qualifications
- 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.
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