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.
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Develop relationships with technology, data, security, and AI leaders, from VP and senior director levels up to the C-suite.
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Use our existing experience and digital relationships as a bridge. Work with the account’s Client Partners to earn introductions, and share credit transparently.
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Sell and shape fixed-scope engineering sprints and pilots, then convert them into retained engineering teams and managed services.
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Work with solution architects, Forward Deployed Engineers, and global delivery to scope, price, and staff engagements.
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Position our AI-enabled engineering approach, including governance, human oversight, and traceability, with technical, risk, and compliance stakeholders.
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Navigate procurement, vendor risk, and security review at a large enterprise, and compete against global integrators.
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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.
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Strong healthcare provider experience working with large hospital systems, hospital networks, or integrated delivery networks (IDNs).
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Experience supporting EHR/EMR implementations and modernization, including Epic or Oracle Health, with an understanding of revenue cycle management.
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Established relationships, or demonstrated success building relationships, with CIOs, CTOs, CDOs, and senior technology leaders within healthcare provider organizations.
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Strong understanding of healthcare provider operations, clinical workflows, patient access, interoperability, and data modernization.
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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.
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Experience shaping and growing complex technology consulting engagements into larger, multiyear programs.
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Ability to collaborate with solution architects, engineering teams, and global delivery organizations.
- Healthcare payer experience, including relationships with major health insurance organizations.
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Experience expanding engineering services across both healthcare provider and payer accounts.
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Familiarity with Snowflake, Databricks, Google Cloud, or healthcare data platforms.