Vice President, Product, Platform and Intelligence

This is a fully remote position, open to applicants in California.

📋 Description

• Define and convey the product vision, investment priorities, and multi-year roadmap in line with company strategy, healthcare market demands, and client outcomes.

• Balance innovation, platform modernization, client commitments, revenue opportunities, product health, and technical risk when distributing product capacity.

• Establish well-defined product decision rights and lifecycle standards from discovery and validation through to launch, adoption, performance management, and retirement.

• Utilize market, client, operational, and product usage data to identify opportunities, test assumptions, and determine whether to build, partner, or cease investment.

• Act as the executive product owner for SynAPSE and the shared platform, managing a prioritized backlog and translating business needs into outcomes, epics, and acceptance criteria.

• Define reusable platform capabilities to enhance scalability, security, performance, observability, and maintainability.

• Coordinate platform investments with Engineering and Architecture, addressing dependencies and trade-offs.

• Promote the adoption of shared services, data standards, design patterns, and governance throughout the portfolio.

• Establish product strategy for analytics, machine learning, agentic workflows, and intelligent automation aimed at addressing healthcare challenges.

• Lead data scientists as a product-driven intelligence team, providing clear problem statements, success metrics, experimentation practices, and production pathways.

• Collaborate with Engineering on data pipelines, MLOps, deployment, monitoring, security, model performance, and ongoing support.

• Set responsible AI and data-product practices encompassing quality, explainability, privacy, human oversight, governance, and lifecycle management.

• Measure the adoption, accuracy, operational impact, client outcomes, and commercial contributions of intelligence capabilities.

• Lead, mentor, and develop product directors and data science leaders.

• Create a product operating rhythm with transparent roadmaps, measurable objectives, discovery discipline, release readiness, and post-launch evaluation.

• Foster cross-functional relationships and navigate ambiguity and dependencies across Product, Engineering, Design, Delivery, Client Success, and Growth.

• Report on executive-level portfolio progress, risks, investment needs, adoption rates, revenue, and profitability.

• Collaborate with Growth and Product Marketing on positioning, proposals, packaging, launches, and collateral materials.

• Engage directly with clients and users to comprehend workflows, validate priorities, support critical situations, and convey product direction.

⛳️ Requirements

• Over 12 years of progressively responsible experience in product management within enterprise software, data products, analytics, or a similarly complex technology landscape, including substantial executive or senior leadership experience.

• Proven track record of guiding multiple product portfolios and senior product leaders through strategy, discovery, roadmap decisions, delivery, commercialization, and adoption.

• Strong technical product fluency across cloud platforms, APIs, data architecture, analytics, machine learning, and modern software development practices.

• Experience transitioning AI or machine-learning capabilities from experimentation to governed, reliable production use.

• Familiarity with MLOps and AI lifecycle management is highly preferred.

• Demonstrated ability to directly manage a critical platform backlog, write or refine clear product requirements, and make timely decisions in a dynamic environment.

• Strong business judgment and analytical skills, with experience leveraging adoption, outcome, revenue, and profitability metrics to inform product investment.

• Executive-level communication and influence with clients, technical teams, commercial leaders, and boards or senior leadership teams.

• Experience in healthcare revenue-cycle management, or significant experience in another regulated, data-intensive industry is strongly preferred.

• Bachelor's degree in business, computer science, information systems, engineering, or a related field, or equivalent practical experience.

• Advanced degree is preferred.

🏝️ Benefits

• Comprehensive health insurance coverage.

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive work-life balance.