Technical Lead – Patient Strategy
Boost your chances before you apply.
Dalystrategigrecruiting
San Francisco, CA, US
Summary
The Technical Lead will design and integrate patient data flows between Salesforce Health Cloud and AWS to create a unified patient profile. They will also lead the development of Agentic AI solutions using AWS Bedrock to automate patient engagement while ensuring strict HIPAA compliance.
Job Description
Role Overview
As the Technical Lead for Patient Strategy, you will bridge the gap between complex pharmaceutical patient data and cutting-edge AI orchestration. You will be responsible for designing the "single source of truth" for patient data by integrating Salesforce Health Cloud with AWS Data Lakes. A primary focus of this role is leading the development of Agentic AI solutions using AWS Bedrock to deliver real-time, proactive "nudges" to patients and case managers, ensuring all solutions meet strict HIPAA and Pharma-specific regulatory standards.
Key Responsibilities
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Architecture & Integration: Partner with Architects to design end-to-end data flows between Salesforce Health Cloud and AWS, ensuring data integrity and a unified patient profile.
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AI Orchestration: Lead the development and deployment of Custom AI Agents (Agentic AI) that utilize real-time Data Lake events to automate patient engagement.
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Cloud Engineering: Build and optimize serverless ETL pipelines and data workflows using AWS Lambda, Glue, S3, and Athena.
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Data Governance: Act as the technical authority for PHI handling, ensuring all digital solutions comply with HIPAA and regional privacy laws.
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Stakeholder Leadership: Translate complex AI and data-lake concepts into actionable strategies for both technical teams and non-technical commercial stakeholders.
Qualifications (Must-Haves)
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10+ years of experience in Information Technology with a focus on Healthcare/Pharma.
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Core Technical Stack: Advanced proficiency in AWS (Lambda, Glue, S3, Athena) and Salesforce Health Cloud (or equivalent Patient CRM).
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AI Expertise: Proven experience building and operationalizing AI agents using AWS Bedrock or similar LLM orchestration platforms.
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Domain Knowledge: Deep understanding of Patient Engagement and Patient Service tools within the Pharmaceutical Commercial domain.
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Regulatory Compliance: Expert-level knowledge of HIPAA regulations and data governance for patient-facing systems.
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Leadership: Experience leading technical project lifecycles from discovery through production cutover.
Technical Skills & Tools
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CRM: Salesforce Health Cloud (Architecture, PHI controls, Data Modeling).
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AWS: Bedrock, AgentCore, S3, Glue, Athena, Lambda.
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Compliance: HIPAA, Global Privacy Laws, Data Governance.
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Data: EHR/FHIR integrations, MDM, Real-time data pipelines.
Submission Requirements (Action Required)
[MANDATORY] Submission Template: All candidates must complete the TCS Submission Template and paste it at the very top of their resume. Resumes without this template will be automatically rejected.
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Format: Please submit resumes in PDF format only.
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Privacy: Remove the candidate’s LinkedIn URL from the resume prior to submission.
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Rehire Policy: Former TCS Full-Time Employees (FTEs) are not eligible for rehire. Former TCS contractors must have a minimum 6-month break in service to be considered.
Candidate Screening Tips (For Recruiters)
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Onsite Commitment: This role is 100% onsite in San Francisco. Prioritize candidates within a 30–45 minute commute (Daly City, South SF, San Mateo, etc.).
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Pharma/Life Sciences: Only candidates with documented experience in Pharma Commercial or Patient Services will be considered.
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AI Maturity: Look for "Agentic AI" or "LLM Orchestration" on the resume, specifically within an AWS environment.