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Technical Lead - Salesforce

Qode, California, Missouri, United States, 65018

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Overview

Job Description: Technical Lead -

Intelligent Onboarding & Consent Management Role Overview We are seeking a highly skilled professional with strong domain expertise in Patient Engagement and Support Programs to support and drive multiple workstreams including affordability, onboarding, adherence, and personalized patient data platforms. The role requires close collaboration with business, technology, and data teams to deliver scalable, compliant, and patient-centric solutions. ________________________________________ Key Responsibilities

Partner with business and clinical stakeholders to design, implement, and optimize patient support solutions across multiple workstreams Translate business requirements into functional and technical specifications Support solution design, integration strategy, and data flow across CRM, cloud, and analytics platforms Collaborate with engineering, AI/ML, and data teams to enable intelligent, data-driven patient experiences Ensure alignment with compliance, privacy, and regulatory standards in Life Sciences Workstream-Specific Responsibilities & Skills

Intelligent Onboarding & Consent Management Enable intelligent patient onboarding using AI-enabled digital tools Support consent management and compliant data capture Collaborate on building scalable onboarding workflows integrated with CRM systems Core Skills

Apex Salesforce Supporting Skills

Experience building AI-driven digital solutions Patient onboarding workflows Required Qualifications

8–12+ years of experience in Life Sciences, Healthcare IT, or Patient Engagement platforms Strong understanding of patient support programs, digital health solutions, and CRM ecosystems Hands-on experience working with AWS-based architectures and data platforms Ability to work across business, engineering, and data teams Strong communication, documentation, and stakeholder management skills ________________________________________ Nice to Have

Experience with AI/ML solutions in healthcare Exposure to Snowflake, IoT-based health devices, or real-world evidence platforms Prior experience working with pharma patient services or hub programs

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