Senior Product Manager, ML Platform

Datavant

1d • $170,000 - $200,000

About The Position

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

The Platform Product team at Datavant is responsible for partnering with the Core Technology / Platform Engineer teams to build the technical foundations that accelerate our Product Engineering teams. We obsess about creating leverage for our developers and product development process; and achieve this by having a unique combination of: technical expertise, domain experience, and product-oriented thinking.

You will be the dedicated product partner for the ML Platform & Data Science teams and their initiatives across Datavant. The Data Science team's vision is to transform Datavant into an AI-first company by seamlessly integrating AI into our existing products, driving new solutions, and owning AI/ML technology assets end-to-end. Data Scientists are embedded within cross-functional teams, partnering with Engineering, Product Managers across business units, and other stakeholders to identify opportunities and deliver measurable value.

Requirements

• 5+ years in a product management, product strategy, or engineering ideally working in a healthcare (or a similar industry) where security / compliance play a major role in how things get designed & developed
• Technical aptitude: comfortable diving into code, analyzing data, assisting with EDA, and identifying opportunities.
• Experience advancing shared capabilities/services or owning a platform.
• Highly organized with strong project management skills.
• High bandwidth and high productivity; quick to understand, formulate, and respond.
• Exceptional documentation, presentation, and diagramming skills.
• Great communicator with confidence to lead planning meetings and explain strategies, rationales, and products to diverse audiences.
• Motivated by getting things done, with a drive for both big vision and continuous execution.
• Team player with empathy for others' motivations, needs, perspectives, and potential points of confusion.
• Proactive in defining product evolution and biased towards action.

Responsibilities

• Drive adoption and impact: Work closely with Data Science, Engineering, and Product teams across the organization to advance cross product vertical AI/ML shared capabilities, drive adoption, and ensure value realization. Evangelize data science wins and capabilities, remove roadblocks, and articulate the impact of DS initiatives.
• Be customer-focused: Obsess about identifying and solving high-value problems for internal stakeholders (Engineering, Product, Business Units) and external partners through the thoughtful application of data science. Collaborate closely with Data Science and Engineering teams to define, develop, and ship impactful models, features, and platforms that drive measurable business outcomes.
• Provide clarity: Navigate the inherent ambiguity in applying AI/ML by providing clear direction on product strategy, initiative prioritization, and build vs. buy decisions within your scope. Collaborate with technical leads to make informed trade-offs, backed by sound reasoning and analysis.
• Define product requirements: Work closely with customers, Data Scientists, and Engineers to translate complex business needs and data science possibilities into clear, concise, and motivating requirements. Foster a deep understanding of the underlying data, models, systems, and user workflows to guide the iterative development of robust and scalable solutions.
• Be a leader: Lead by example, fostering a collaborative environment between Product, Data Science, and Engineering. Champion the strategic importance of data science and AI throughout the organization & identification of opportunities for shared capabilities.
• Operate like an owner: Take ownership of the success of data science products and platforms, from ideation through development, deployment, monitoring, and maintenance. Embrace a "no job is too small" attitude to ensure the success of your products, the Data Science team, and Datavant.

Benefits

• Total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed