Vice President, Product, Platform and Intelligence

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $175k - $225k / year

⏰ Full Time

🔴 Lead

👔 Vice President

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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VisiQuate

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

<company_name> VisiQuate is a SaaS company delivering AI-powered revenue cycle intelligence and workflow automation for healthcare organizations. Its Ana Intelligence Suite provides predictive analytics, denials management, patient access, coding audit, payer action center, CFO forecasting, workforce and vendor performance analytics, and role-tailored AI agents to automate prioritization and revenue recovery. VisiQuate helps providers unify fragmented data, prevent denials and underpayments, accelerate cash collection, and improve operational efficiency.

📋 Description

• 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

• 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

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