Delivery Solutions Architect (Healthcare & Life Sciences)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Delivery Solutions Architect (Healthcare & Life Sciences): Lead post-sale technical strategy and execution for platform adoption in healthcare and life sciences customers with an accent on technical account leadership, customer success, and cross-team orchestration. Focus on driving onboarding, enablement, product adoption, and resolving complex escalations in strategic accounts.
Location: Hybrid, Northeast United States
Salary: $161,300β$225,800 USD
Company
is a leading data and AI company providing the Data Intelligence Platform to unify and democratize data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Lead post-sale technical account strategy and execution plans for prioritized healthcare and life sciences customers.
- Serve as the technical lead across all products for assigned customers and use cases.
- Coordinate with internal teams including Solutions Architects, Professional Services, and Product Engineering to accelerate product adoption and onboarding.
- Manage technical escalations and provide solutions for production and go-live issues.
- Develop and execute comprehensive plans covering use case progression, enablement, product adoption, and governance.
- Provide KPI reporting and updates on customer health, usage, and risks to technical leadership.
Requirements
- Must have 5+ years of experience in technical project or program delivery within Data and AI domains.
- Proficiency in Python, SQL, or Scala programming.
- Experience in customer-facing roles such as pre-sales, technical architecture, or consulting.
- Ability to travel up to 30% as needed.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- Strong skills in stakeholder management, business analysis, and resolving complex escalations.
Culture & Benefits
- Comprehensive benefits tailored to employee needs across regions.
- Commitment to diversity and inclusion in hiring and workplace culture.
- Opportunities to work with cutting-edge data and AI technologies.
- Hybrid work format with flexibility.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ Π²Π°Ρ ΠΏΡΠΎΡΡΡ Π²ΠΎΠΉΡΠΈ Π² iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β