Tendo

Account Manager

• Execute Ambulatory market strategies to drive new revenue growth, customer retention, and market penetration.
• Maintain an active pipeline, delivering accurate and timely sales forecasts.
• Build, develop, and maintain strong relationships with key customer stakeholders to foster loyalty and identify expansion opportunities.
• Partner with marketing, product, and operations teams to align sales initiatives with product offerings and customer needs.
• Collaborate with customer success and operations to monitor customer satisfaction, identify risks, and ensure successful renewals and expansions.
• Analyze sales metrics to inform corporate KPIs.
• Deliver revenue models to C-Suite executives to demonstrate long-term ROI.
• Craft value-driven proposals that answer “why change, why now, and why us.”
• Lead account planning, prospecting, and cold outreach to generate new opportunities.
• This position requires travel up to approximately 25% of the time, including attendance at industry events, customer meetings, and internal sales meetings.

Regional VP – ASC Partnerships

Data Engineer

• Ingest, transform, and warehouse healthcare-related data from various sources to produce strategic data engineering solutions
• Collaborate with Data Scientists, Product Managers, Machine Learning Engineers, and Business Intelligence Analysts to produce quality data flows and transformations that support advanced analytics and AI/ML model development
• Develop tools and solutions to facilitate data integration, data warehousing, and data modeling
• Enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for customers
• Optimize data infrastructure and processes to ensure optimal performance and scalability
• Develop and maintain data documentation and data lineage
• Stay current with emerging technologies and industry trends related to data engineering

Principal Data Engineer

• Ingest, transform, and warehouse healthcare-related data from various sources to support analytics and ML.
• Collaborate with Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development.
• Develop tools and solutions to facilitate data integration, data warehousing, and data modeling.
• Enable Data Engineers and Data Scientists to experiment and train machine learning models and produce insights for customers.
• Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis.
• Optimize data infrastructure and processes to ensure optimal performance and scalability.
• Develop and maintain data documentation and data lineage.
• Stay current with emerging technologies and industry trends related to data engineering.

Senior Data Engineer

Data Scientist

• Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
• Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
• Develop analytic data sets and use statistical software to analyze data sets as requested.
• Use third party software tools in the development of queries and visualizations.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Access data from multiple public and private sources and translate it into information that is meaningful and actionable for health systems.
• Develop, maintain, and enhance predictive models to improve quality, risk, and operational efficiency.
• Ask novel, data-driven questions and drive new analyses to inform product and clinical decisions.

Senior Data Scientist

• Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
• Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
• Develop analytic data sets and use statistical software to analyze data sets as requested.
• Use third party software tools in the development of queries and visualizations.
• Coordinate with different functional teams to implement models and monitor outcomes.

Regional VP – ASC Partnerships

Principal Data Engineer

Senior Data Engineer

Senior Data Scientist

Principal Data Scientist