Vice President, Product, Platform and Intelligence

VisiQuate

. Set and communicate the product vision, investment priorities and multi-year roadmap in alignment with company strategy, healthcare market needs and client outcomes .

Posted 11/5/2026full-timeRemote • California • United StatesLead💰 $175,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on healthcare technology, including analytics, machine learning, and AI lifecycle management. Proven ability to lead cross-functional teams, manage product backlogs, and drive adoption while aligning with business objectives and client outcomes.

Highest-signal resume keywords

Product Management ExperienceTechnical Product FluencyAI Lifecycle ManagementExecutive-Level CommunicationHealthcare Revenue-Cycle Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyData ArchitectureAnalyticsMachine LearningCloud PlatformsAPIsMLOpsProduct Requirements WritingPerformance ManagementBacklog Management

Soft Skills

LeadershipAnalytical AbilityBusiness JudgmentCross-Functional CollaborationInfluence

Tools & Technologies

Data PipelinesIntelligent AutomationGovernance StandardsDesign PatternsMonitoring Tools

Industry Keywords

Healthcare TechnologyEnterprise SoftwareData ProductsRegulated IndustryClient Outcomes

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Set and communicate the product vision, investment priorities and multi-year roadmap in alignment with company strategy, healthcare market needs and client outcomes
Balance innovation, platform modernization, client commitments, revenue opportunities, product health and technical risk when allocating product capacity
Establish clear product decision rights and lifecycle standards from discovery and validation through launch, adoption, performance management and retirement
Use market, client, operational and product-usage evidence to identify opportunities, test assumptions and decide where to build, partner or stop investing
Serve as executive product owner for SynAPSE and the shared platform, maintaining a prioritized backlog and translating business needs into outcomes, epics and acceptance criteria
Define reusable platform capabilities to improve scalability, security, performance, observability and maintainability
Sequence platform investments with Engineering and Architecture and resolve dependencies and tradeoffs
Drive adoption of shared services, data standards, design patterns and governance across the portfolio
Set product strategy for analytics, machine learning, agentic workflows and intelligent automation focused on healthcare problems
Lead data scientists as a product-centered intelligence team with clear problem statements, success measures, experimentation practices and paths to production
Partner with Engineering on data pipelines, MLOps, deployment, monitoring, security, model performance and ongoing support
Establish responsible AI and data-product practices covering quality, explainability, privacy, human oversight, governance and lifecycle management
Measure adoption, accuracy, operational impact, client outcomes and commercial contribution of intelligence capabilities
Lead, coach and grow product directors and data science leaders
Create a product operating cadence with transparent roadmaps, measurable objectives, discovery discipline, release readiness and post-launch learning
Build cross-functional relationships and resolve ambiguity and dependencies across Product, Engineering, Design, Delivery, Client Success and Growth
Report executive-level portfolio progress, risks, investment needs, adoption, revenue and profitability
Partner with Growth and Product Marketing on positioning, proposals, packaging, launches and collateral
Engage directly with clients and users to understand workflows, validate priorities, support critical situations and communicate product direction

Requirements

What you’ll need

12+ years of progressively responsible product management experience in enterprise software, data products, analytics or a similarly complex technology environment, including significant executive or senior leadership experience
Demonstrated success leading 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
Experience taking AI or machine-learning capabilities from experimentation into governed, reliable production use
Familiarity with MLOps and AI lifecycle management strongly preferred
Proven ability to manage a critical platform backlog directly, write or refine unambiguous product requirements and make timely decisions in a fast-moving environment
Strong business judgment and analytical ability, including experience using adoption, outcome, revenue and profitability measures to guide product investment
Executive-level communication and influence with clients, technical teams, commercial leaders and boards or senior leadership teams
Healthcare revenue-cycle experience, or substantial experience in another regulated, data-intensive industry, strongly preferred
Bachelor's degree in business, computer science, information systems, engineering or a related field, or equivalent practical experience
Advanced degree preferred