Delivery Solutions Architect Manager (Healthcare & Life Sciences)

TL;DR

Delivery Solutions Architect Manager (Healthcare & Life Sciences): Leads a team of Delivery Solutions Architects to accelerate production-grade Data and AI workloads in highly regulated Healthcare & Life Sciences environments with an accent on defining strategy, coaching the team, and navigating strict compliance requirements and multi-stakeholder enterprise programs. Focus on minimizing onboarding friction, safely bringing critical HLS use cases like clinical analytics and real-world evidence into production, and ensuring compliance-aware technical excellence.

Location: Must be based in the United States with willingness to travel up to 30%.

Salary: $220,500–$310,000 USD

Company

hirify.global is a data and AI company providing a Data Intelligence Platform used by over 10,000 organizations worldwide.

What you will do

• Lead and develop a high-performing team of Delivery Solutions Architects specializing in HLS workloads.
• Accelerate the deployment of production-grade Data and AI solutions in highly regulated healthcare and life sciences environments.
• Ensure technical excellence and compliance with HLS requirements like PHI, HIPAA, and GxP controls.
• Collaborate with sales and field teams to drive adoption, operational maturity, and customer value.
• Operationalize rigorous delivery frameworks, forecasting, and customer health indicators across HLS programs.
• Serve as an executive-facing technical sponsor, shaping modernization roadmaps and advocating for Lakehouse and GenAI strategies.

Requirements

• 8+ years in customer-facing technical roles (Architecture, Field Engineering, Consulting), with 3+ years leading or managing technical teams.
• Demonstrated success enabling production workloads in regulated industries, ideally HLS, life sciences, or similar GxP/HIPAA-bound environments.
• Deep knowledge of cloud-native Lakehouse architectures, data governance, secure ML operations, and enterprise migration/modernization patterns.
• Hands-on, executive-credible expertise in SQL, Python/Scala, distributed data systems, code reviews, and solution architecture.
• Strong track record guiding customers through ETL modernization, analytics, real-time/streaming, and AI/ML productionization.
• Experience across AWS, Azure, or GCP, including IAM, network security, compliance controls, and data perimeter models.

Culture & Benefits

• Comprehensive benefits and perks (specific details available online).
• Commitment to fostering a diverse and inclusive culture and equal employment opportunities.