Technical Success Manager - Discovery Hub

This is a Fully Remote Job About Our Client: Discovery Hub is an initiative within a major healthcare platform focused on driving transformative innovation across a leading medical institution. It supports projects leveraging advanced platform tools and de-identified clinical data to create new insights, conduct research, and develop AI models. This program addresses challenges in healthcare data utilization by enabling efficient use of clinical data and data science capabilities to advance medical research and innovation. About the Opportunity: The TECHNICAL SUCCESS MANAGER plays a critical role as the primary technical liaison for staff utilizing clinical data and data science tools within the healthcare platform. This position facilitates the success of research and innovation projects by evaluating and supporting technical requirements, training users, and managing client relationships. The role directly contributes to enabling impactful data-driven healthcare advancements through technical guidance and program support. Responsibilities: Serve as the main point of contact for prospective and current clients regarding technical and data-related inquiries Review client materials and respond to questions about data, tools, and program capabilities Address and triage technical issues, coordinating with research and development teams Lead client onboarding and training on data science environments and deployment tools Collaborate with leadership to continuously improve platform programs Act as a liaison for internal and external technical partnerships Assist in creating and collecting metrics to measure program success Advise on strategic expansion of platform programs Requirements: Bachelor’s degree in Business, Engineering, Mathematics, Computer Science, Health Science, or related analytical/quantitative field Minimum of three years’ professional or research experience in data science Understanding of technology industry trends and opportunities Expertise in AI, machine learning, deep learning, statistical data analysis, and related methods Strong verbal and written communication skills to explain technical solutions Ability to manage multiple client accounts and build relationships Skills in mentoring, training, and supervising employees Strategic thinking to optimize or improve platform programs Ability to work independently and collaboratively as a self-starter Experience presenting to diverse internal and external audiences Initiative to create new opportunities Experience with CRM and engagement management tools Preferred: Academic publications using real-world healthcare data Master’s degree in Computer Science, Data Science, Engineering, Informatics, Public Health, or Business Experience with healthcare datasets from multiple clinical sources Experience with data analysis or algorithm development for healthcare data Experience working with both clinical and technical stakeholders Pay Range and Compensation Package: The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.