Product Manager, AI

Product Manager, AI at Zelis

At Zelis, we Get Stuff Done. So, let’s get to it!

A Little About Us

Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

A Little About You

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

Position Overview

As a Product Manager, AI at Zelis, you will join our enterprise Data and Technology team. This driven and analytical role is responsible for the product lifecycle of new AI solutions and use cases, working closely with data science and engineering leads. You will define business requirements, coordinate with various technical and non-technical teams, and facilitate a robust pipeline for the application of AI. Collaborating with other product managers, you will deliver on our product roadmap to support the business's current and future needs. We are seeking someone passionate about data, AI, and analytics with strong product management experience to join our growing technical product team.

Responsibilities

• Become an expert in your product areas, acting as the go-to person for other stakeholders before engaging technical data science and software engineering teams.
• Collaborate with software engineers, data engineers, data scientists, and other product teams to scope new or refine existing AI solutions that enhance business value, adoption, and user engagement.
• Lead discussions with Business Unit stakeholders to identify business process and underlying needs, then draft clear and concise business requirements and technical product documentation.
• Interface with internal Zelis engineering and product teams to manage the intake process for new requests.
• Understand how your product areas integrate into the wider roadmap, highlighting both dependencies and opportunities for growth.
• Define key performance indicators to effectively evaluate product success.
• Act as the voice of the customer in technical discussions, facilitating the relationship between application teams and technical data teams for your product areas.
• Work with cross-functional teams and various stakeholders, including engineering, architecture, operations, product, marketing, partnerships, and customer success.
• Collaborate with technical product analysts to support engineering teams throughout the delivery lifecycle.
• Understand the implications of AI products within the healthcare industry and articulate how individual patient care maps to the problems you are solving.

Experience

• 3+ years of technical product management experience with a demonstrated ability to define product scope and deliver alongside technical teams.
• Strong understanding of and experience with Data Science, Machine Learning, Generative AI, and Data Analytics concepts.
• Proficiency with data/product tools such as SQL, Python, R, Spark, AWS, Azure, and Snowflake.
• Ability to listen to diverse audiences, identify requirements, gaps, and barriers, and translate needs into effective AI and analytics solutions.
• Understanding and experience with machine learning, data engineering, and software engineering principles.
• Technical depth enabling discussions on the design of AI solutions (including GenAI), machine learning models, ETLs, and AI infrastructure.
• Strong communication skills, including active and expert listening, clear verbal communication, and explicit, mindful written communication.
• Well-versed in Agile frameworks and product tools such as Jira and Confluence.
• Experience guiding teams through the AI lifecycle, including collecting and collating use cases and managing intake processes for new AI use cases.
• Open to candidates with either B2B or B2C experience and from outside the healthcare industry; intellectual curiosity, self-starter mentality, and experience building AI products are critical.

Key skills/competency

• Product Management
• AI Solutions Development
• Data Science Integration
• Machine Learning
• Generative AI
• Data Analytics
• Agile Methodologies
• Stakeholder Management
• Business Requirements Definition
• Healthcare Technology