Success Manager - Partner Insights & Enablement

Required Skills

• 4+ years of experience working in a field which developed exposure to and understanding of electronic medical record (EMR) data, real-world data (RWD), real world evidence (RWE), public health research, or regulatory submissions.
• 2+ years of experience in customer success, account management, consulting, ideally with a focus on life science or healthcare analytics customers.
• Demonstrated experience with public health research, epidemiology, outcomes research, health services research, real-world data (RWD), real-world evidence (RWE), or clinical research.
• Strong project and stakeholder management skills, including the ability to align clinical, technical, operational, and executive audiences around shared goals and deliverables.
• Excellent written and verbal communication skills, with the ability to explain scientific, analytical, and technical concepts to audiences with varying levels of familiarity.
• Ability to work independently, take ownership of deliverables, navigate ambiguity, and manage multiple customer priorities simultaneously.
• Proactive, solutions-oriented mindset with strong judgment, attention to detail, and a commitment to timely, high-quality execution.
• High degree of professionalism, curiosity, empathy, and enthusiasm for Truveta's mission of Saving Lives with Data.
• Direct experience working at an EMR vendor, or substantial experience implementing, supporting, or advising customers on Epic or Cerner platforms and workflows is an absolute plus.

Preferred Qualifications

• These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.
• Bachelor's or master's degree in public health, epidemiology, health services research, biomedical informatics, biostatistics, health economics, or another quantitative or health-related discipline.
• Experience supporting health systems, life sciences organizations, academic researchers, or government/public health customers using clinical data for research, quality improvement, or evidence generation.
• Experience with clinical data models, EHR workflows, interoperability, population health, registries, analytics, or clinical informatics.
• Experience with statistical analysis or querying tools such as SQL, R, Python, or similar technologies.

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