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As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated mission-critical environments in the world. Your organization will be the technical engine behind how payers providers med-tech and biopharma customers modernize clinical intelligence streamline R&D operations and operationalize secure AI at scale on the Databricks Data Intelligence Platform.
You will define strategy set the execution rhythm and coach a team capable of navigating long implementation cycles strict compliance requirements and multi-stakeholder enterprise programsall while ensuring customers achieve clear measurable outcomes. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit.
The Impact You Will Have:
Build and Lead a High-Performing HLS Delivery Team
Hire develop and inspire DSAs who can navigate clinical scientific and operational workloads. Establish a performance culture grounded in accuracy velocity and architectural excellence.
Accelerate Production in Highly Regulated Environments
Guide your team to minimize onboarding friction remove blockers and bring critical HLS use casesclinical analytics real-world evidence supply-chain intelligence quality systems AI/MLinto production quickly and safely.
Drive Compliance-Aware Technical Excellence
Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures HIPAA/GxP controls auditability lineage and secure ML/AI operations.
Partner for Growth With Sales and Field Teams
Collaborate tightly with Sales SAs Support Emerging Technologies and Professional Services to drive adoption increase MAU/WAU enable mature operational patterns and ensure customers realize tangible business value from Databricks.
Operationalize Rigor at Scale
Establish forecasting mechanisms production readiness criteria customer health indicators and consumption execution frameworks that ensure predictable multi-account delivery across HLS programs.
Be the Executive-Facing Technical Sponsor
Engage with IT security clinical R&D and data executives to shape modernization roadmaps influence architectural direction mitigate risk and sponsor the strategic value of Lakehouse and GenAI across the HLS ecosystem.
Strengthen and Evolve the DSA Practice
Contribute to cross-BU initiatives that enhance delivery quality reproducibility and reuseincluding patterns accelerators reference architectures and playbooks tailored for healthcare biopharma and payer/provider operations.
What We Look For:
- 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 with 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.
- Proven ability to manage escalations forecast usage growth operationalize delivery frameworks and guide cross-functional teams.
- Strong executive presencetrusted advisor to CIOs CISOs Chief Data Officers Clinical/R&D executives and enterprise technical leaders.
- Bachelors degree in Computer Science Engineering or a related field (or equivalent experience).
- Willingness to travel up to 30%.
Required Experience:
Manager
United States Apply NowAs a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated mission-critical environments in the worl...
United States Apply Now
As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated mission-critical environments in the world. Your organization will be the technical engine behind how payers providers med-tech and biopharma customers modernize clinical intelligence streamline R&D operations and operationalize secure AI at scale on the Databricks Data Intelligence Platform.
You will define strategy set the execution rhythm and coach a team capable of navigating long implementation cycles strict compliance requirements and multi-stakeholder enterprise programsall while ensuring customers achieve clear measurable outcomes. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit.
The Impact You Will Have:
Build and Lead a High-Performing HLS Delivery Team
Hire develop and inspire DSAs who can navigate clinical scientific and operational workloads. Establish a performance culture grounded in accuracy velocity and architectural excellence.
Accelerate Production in Highly Regulated Environments
Guide your team to minimize onboarding friction remove blockers and bring critical HLS use casesclinical analytics real-world evidence supply-chain intelligence quality systems AI/MLinto production quickly and safely.
Drive Compliance-Aware Technical Excellence
Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures HIPAA/GxP controls auditability lineage and secure ML/AI operations.
Partner for Growth With Sales and Field Teams
Collaborate tightly with Sales SAs Support Emerging Technologies and Professional Services to drive adoption increase MAU/WAU enable mature operational patterns and ensure customers realize tangible business value from Databricks.
Operationalize Rigor at Scale
Establish forecasting mechanisms production readiness criteria customer health indicators and consumption execution frameworks that ensure predictable multi-account delivery across HLS programs.
Be the Executive-Facing Technical Sponsor
Engage with IT security clinical R&D and data executives to shape modernization roadmaps influence architectural direction mitigate risk and sponsor the strategic value of Lakehouse and GenAI across the HLS ecosystem.
Strengthen and Evolve the DSA Practice
Contribute to cross-BU initiatives that enhance delivery quality reproducibility and reuseincluding patterns accelerators reference architectures and playbooks tailored for healthcare biopharma and payer/provider operations.
What We Look For:
- 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 with 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.
- Proven ability to manage escalations forecast usage growth operationalize delivery frameworks and guide cross-functional teams.
- Strong executive presencetrusted advisor to CIOs CISOs Chief Data Officers Clinical/R&D executives and enterprise technical leaders.
- Bachelors degree in Computer Science Engineering or a related field (or equivalent experience).
- Willingness to travel up to 30%.
Required Experience:
Manager
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