Patient Engagement & Support Solutions Lead
About The Position
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 1. Affordability Models · Lead Salesforce (SFDC) and Patient CRM integrations to support affordability programs · Enable seamless data exchange using Mulesoft integrations · Support benefits investigation and financial assistance workflows. Core Skills: · Salesforce (SFDC) integration · Patient CRM · Mulesoft Supporting Skills: · Benefits investigation · Financial assistance program design 2. Patient Support Services / Patient Journey · Design and enhance patient-facing applications and digital touchpoints · Support end-to-end patient journey mapping and optimization · Work closely with frontend and backend teams for system integrations Core Skills: · UI development · AWS · Java · Angular Supporting Skills: · Frontend frameworks · Patient journey mapping · Enterprise system integrations 3. 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: · AWS & Java · AI-enabled digital tools · Salesforce (SFDC) integration Supporting Skills: · Experience building AI-driven digital solutions · Patient onboarding workflows 4. Adherence Monitoring · Support adherence solutions leveraging smart/IoT device integrations · Partner with AI/ML teams to identify adherence friction points · Enable data pipelines and analytics for adherence insights Core Skills: · Smart/IoT device integration · AWS AI/ML solutions · Snowflake Supporting Skills: · AI/ML-driven adherence solutions · Adherence friction-point analysis 5. 3P – Personalized, Predictive Patient Data · Lead data engineering initiatives to enable personalized and predictive patient insights · Drive analytics platforms supporting patient care concepts · Collaborate with data science teams for advanced predictive modelling Core Skills: · AWS · Data engineering · Data Tech Lead expertise Supporting Skills: · Support care concepts · Data analytics for personalization and prediction
Requirements
- 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
- Salesforce (SFDC) integration
- Patient CRM
- Mulesoft
- UI development
- AWS
- Java
- Angular
- AI-enabled digital tools
- Smart/IoT device integration
- AWS AI/ML solutions
- Snowflake
- Data engineering
- Data Tech Lead expertise
Nice To Haves
- 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
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
- Lead Salesforce (SFDC) and Patient CRM integrations to support affordability programs
- Enable seamless data exchange using Mulesoft integrations
- Support benefits investigation and financial assistance workflows
- Design and enhance patient-facing applications and digital touchpoints
- Support end-to-end patient journey mapping and optimization
- Work closely with frontend and backend teams for system integrations
- 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.
- Support adherence solutions leveraging smart/IoT device integrations
- Partner with AI/ML teams to identify adherence friction points
- Enable data pipelines and analytics for adherence insights
- Lead data engineering initiatives to enable personalized and predictive patient insights
- Drive analytics platforms supporting patient care concepts
- Collaborate with data science teams for advanced predictive modelling
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
