Senior Enablement Analyst

Roles and Responsibilities:

• Develop customer-facing enablement content, including notebooks, guides, FAQs, slide decks, and walkthroughs.
• Facilitate large exports of omni-model data to customer environments.
• Help customers understand the data model, including clinical, administrative, notes, and imaging tables and how they relate to one another.
• Explain de-identification concepts, quasi-identifiers, and privacy considerations in a way that is practical for customer workflows.
• Support customers using data for analytics, patient journey analysis, and predictive modeling using machine learning.
• Create examples and best-practice materials that show how to structure cohorts, link tables, and validate outputs.
• Partner with internal teams to identify common customer questions, gaps, and opportunities for improved documentation.
• Translate technical product behavior into clear customer messaging, especially around profiles, date handling, suppression logic, and ML readiness.
• Monitor customer needs and recommend enablement strategies that improve adoption and reduce friction.
• Contribute to a scalable library of reusable enablement assets for technical users.
• Contribute to internal customer analytics assets, creating dashboards, models, forecasting to support post sales operations and enablement (Customer Health Score, Platform Adoption, ect)...

What Success Looks Like

• Customers can confidently navigate the data model and build analyses and predictive models with less support.
• Enablement materials are clear, accurate, and easy to reuse.
• Customers understand how to use retrospective, privacy-preserving, EHR data appropriately in ML and analytics workflows.
• Common support questions decline as documentation and examples improve.
• Internal teams have a strong partner who can turn technically complex documentation into customer-ready guidance.

Qualifications

• Experience in customer enablement, solutions consulting, analytics, or data science.
• Strong ability to explain complex technical concepts in plain language.
• Familiarity with healthcare data, EHR data, and images strongly preferred.
• Comfort working with notebooks, data dictionaries, SQL, Python, or similar analytical tools.
• Experience supporting technical customers in building analytics or ML workflows using omni-modal data.
• Strong collaboration, organization, and communication skills.

Preferred Qualifications

• Experience with patient journey analysis, clinical data modeling, or omni-modal data.
• Familiarity with imaging metadata and how it connects to clinical records.
• Background in supporting enterprise or strategic customers with technical enablement.
• Experience creating customer-facing materials for highly technical audiences.

Ideal traits

• Customer-first mindset
• Clear and concise communicator
• Detail-oriented and reliable
• Comfortable with ambiguity
• Able to turn technical complexity into practical guidance
• Proactive about identifying customer blockers before they become problems

Why Truveta?

• We Offer: Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person)
• The base pay for this position is $130,000 to $160,000. The pay range reflects the minimum and maximum target. Pay is based on location and may vary depending on job-related knowledge, skills, and experience. This role is eligible for stock options.