Senior Staff Solutions Architect
$217,000–$245,000 year
On-siteBoston, Massachusetts, United States
Boston, Massachusetts, United StatesOn-siteFull Time$217,000–$245,000 yearSenior LevelBachelors DegreeHealthcare TechLarge
Full TimeSenior LevelBachelors DegreeLargeHealthcare Tech
Job Summary
Conduct pre-sales solutions consulting by aligning xFN teams, responding to RFPs, and managing dependencies to ensure smooth, on-time delivery. Develop common, reusable solutions and services by creating a central repository, standardizing playbooks, and reducing custom efforts to accelerate customer onboarding. Manage the solution lifecycle from initial commitment through ongoing support, including contract reviews and SLA adherence. Improve operational efficiency by designing prioritization frameworks and managing intake processes for new solution requests.
Required Qualifications
- Bachelor's degree in computer or data science, engineering, and or life science field
- 10+ years of experience in developing technologies in HCLS
- Demonstrated success in engaging with customers to understand their needs, plan strategic initiatives, and deliver outcomes that exceed their expectations
- Proven track record in solution architecture, and delivery, planning and stakeholder management
- Experience building and deploying scalable solutions on cloud computing platforms such as GCP or AWS
- Proven experience designing and implementing AI/ML solutions, including model development, training, and deployment, with a deep understanding of frameworks such as TensorFlow, PyTorch, or similar
Desired Qualifications
- Exceptional communication, presentation, and interpersonal skills, capable of influencing diverse stakeholders across technical, and commercial functions
- Demonstrated ability to thrive in a fast-paced, ambiguous, and rapidly changing startup environment
- A breadth of experience with creating actionable insights from diverse health data modalities: omics, biomarkers, diagnostics, imaging, claims, SDOH, etc. and familiarity with collection methods and provenance
- Education or exposure to healthcare or life sciences, with emphasis on healthcare data and interoperability standards
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