VP, Engineering

New
T
TailorCareHealthcare technology
Location: United StatesFull-TimeVp
Salary not disclosed
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Job Details

Experience
12 or more years in software engineering, with 7 or more leading multi-team organizations through directors or managers.
Required Skills
Machine LearningData scienceSoftware EngineeringHIPAA

Requirements

  • Have 12 or more years of experience in software engineering.
  • Have 7 or more years leading multi-team organizations through directors or managers.
  • Have experience owning a business outcome or company-watched metric and explaining how engineering decisions affected it.
  • Demonstrate a record of developing leaders, including first-time engineering managers.
  • Have experience surfacing feasibility before commitments and delivering against hard external deadlines without sacrificing quality.
  • Have a track record of strong partnerships with product management, with clear decision rights and shared accountability.
  • Have experience in a startup or scale-up where organizational structure had to be built.
  • Have a bachelor's degree in computer science, engineering, or a related quantitative field, or equivalent demonstrated experience.
  • Be able and willing to travel up to 10% for onsite meetings, team collaboration, and company events.
  • Healthcare, payer, or value-based care experience and familiarity with HIPAA-regulated systems are preferred.
  • Contact center, telephony, or omni-channel engagement platform experience is preferred.
  • Experience shipping decisioning or personalization systems where model output drives real-world actions is preferred.
  • An advanced degree in a quantitative field is a plus.

Responsibilities

  • Lead three product engineering teams across data science, machine learning, and software engineering through their directors and managers.
  • Own the technology, data, and decisioning systems behind patient engagement, care activities, and completion.
  • Set engineering strategy and build the roadmap with Product and engineering and data science leaders.
  • Co-author operational goals with value-based care and clinical leaders.
  • Make technical feasibility, sequencing, capacity, and cross-team tradeoff decisions with Product and operations partners.
  • Hire, develop, and hold directors and managers accountable, including developing first-time engineering managers.
  • Keep client and date commitments aligned with Product leadership and report roadmap delivery to the executive team.
  • Set architecture for patient-facing and care-team systems and make build-versus-buy decisions within scope.
  • Own engineering practices that enable teams to ship safely and quickly.
  • Own the compliance posture of systems handling protected health information under HIPAA in a HITRUST environment, in partnership with Security and Compliance.
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