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Evio

Data Science and Machine Learning Product Manager

Department
Product
Job Type / Location
remote
Experience Required
5+ years
Posted On

About the role

As a Data Science and Machine Learning (ML) Product Manager, you will lead the evolution, implementation, and customer success of Evio Compass. Evio Compass is an analytic product that identifies patients who need timely attention due to clinical or financial risk to themselves or our health plan and/or health system clients. The product blends together patient, plan, provider data with clinical intelligence and data science to identify risks. These risks are stratified and prioritized for plan attention after validation by Evio clinicians to confirm actionability.

In this role, you will sit at the intersection of data science, product, and customer partnership. You’ll guide the development of new data science, machine learning, and AI-driven algorithms, while continuously enhancing existing product features to deliver measurable value. You will develop a deep understanding of the problems our customers are trying to solve and serve as the voice of the customer for internal cross-functional teams to ensure the product is delivering meaningful outcomes and value for customers.

In addition, you will play a key role in advancing Evio’s ML/AI strategy, helping to shape the future direction of Evio products and their value for customers.

What you will do

Product evolution

  • Represent the customer in product evolution with a strong understanding of client priorities, challenges and opportunities
  • Work closely with health plan customer counterparts in various subject matter areas like clinical, product, data, intervention, and finance
  • Identify opportunities to improve existing algorithms and build new ones that better surface patient risk
  • Create a framework for algorithm development, implementation, and measurement to guide end-to-end evolution
  • Design, build, and execute in close collaboration with an internal team comprised of product managers, data scientists, ML engineers, clinicians, dev ops engineers, and software engineers
  • Remain hands on and closely aligned with internal working team across the full lifecycle of model development: from defining the problem and acquiring data to tuning performance and launching into production
  • Translate model outputs into clear risk identification/stratification/prioritization, optimal intervention modality assignment, outcomes measurements, etc.
  • Establish a clear approach to measure and continuously improve product features

Product implementation and client success

  • Serve as the primary product partner for clients, building strong, trusted relationships to deliver consistent value
  • Lead implementation of Evio Compass across health plans and health system clients to ensure smooth rollout and strong adoption
  • Work with customers to understand their priorities, risks, and goals, and collaborate with internal Evio team to tailor the product to meet customer needs
  • Guide clients on how to act on identified risks to drive the best possible outcomes
  • Strategize with client partners on optimal modalities to maximize outcomes from risk intervened
  • Drive client conversations and own client relationships with the primary goal of exceeding client goals and delivering consistent value
  • Be the tactical thought leader to optimally use Evio resources to drive progress for customers
  • Develop new processes and capabilities to support and scale customer success; including tracking success metrics such as business impact and client satisfaction

Your skills and experience

  • 5+ years’ experience in hands-on data science, machine learning, AI based product development
  • 5+ years’ experience working with teams within health plans, health systems, or similar (e.g. pharmacy management, population health, HEOR, finance, UW/Actuarial functions, risk management, or product) to:
    • Identify problem areas that can be solved with data and analytics
    • Drive analytics adoption
    • Evolve analytics products based on performance and measure business results
  • 5+ years’ experience working at health plan, PBM, health system, pharmacy, and/or digital health organization
  • 3+ years’ experience leading analytic product development, implementation, or client transformation efforts
  • 2+ years’ experience within pharmacy and /or medical drug benefit management with a strong grasp of economics
  • Exceptional verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences
  • Familiarity with digital health product landscape within health plan, pharma, PBM landscape
  • Prior start-up experience is a plus

How you work

  • EQ and relationship building: You build strong internal and external relationships and navigate complex organizations with empathy, awareness, and overall high emotional intelligence
  • Comfort with ambiguity, resourcefulness: You’re comfortable with, even excited by, ambiguity and finding strategic, resourceful ways to solve problems despite hurdles

View Assessment Process

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