Vice President of Product, Platform and Intelligence

VisiQuate, Inc.•Non-Specific, CA

4d•Remote

About The Position

VisiQuate is seeking a Vice President of Product, Platform and Intelligence to translate company strategy into a focused, commercially successful product portfolio. The executive leads product strategy and operating discipline across VisiQuate solutions, the shared platform and SynAPSE, and the company’s data science and artificial intelligence capabilities. This is a hands-on leadership role, leading product directors and data scientists while staying close to critical backlogs, client needs and engineering decisions. The role partners with Engineering, Delivery, Client Success, Growth and Design to move validated opportunities from discovery through launch and adoption, with measurable client value. It sets product vision, investment priorities and multi-year roadmaps; balances innovation, platform modernization, client commitments, revenue opportunities, product health and technical risk; and establishes product decision rights and lifecycle standards. As executive product owner for SynAPSE and the shared platform, the Vice President maintains a prioritized backlog, defines reusable capabilities and works with Engineering and Architecture on investment sequencing, dependencies and tradeoffs. The role also sets strategy for analytics, machine learning, agentic workflows and intelligent automation; leads data scientists as a product-centered team; and establishes responsible AI and data-product practices. It leads and develops product and data science leaders, builds an effective product operating cadence, provides executive reporting, supports positioning and launches, and engages directly with clients and users.

Requirements

At least 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; able to work in depth with Engineering without replacing engineering leadership.
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.
Bachelor’s degree in business, computer science, information systems, engineering or a related field, or equivalent practical experience.
Highly self-motivated and driven; decisive and comfortable moving between strategy and detailed product work; passionate about high-quality deliverables; detail-oriented and results-driven; collaborative; committed to learning and improvement; able to turn data into insight and action.

Nice To Haves

Experience taking AI or machine-learning capabilities from experimentation into governed, reliable production use.
Familiarity with MLOps and AI lifecycle management.
Healthcare revenue-cycle experience, or substantial experience in another regulated, data-intensive industry.
Advanced degree.

Responsibilities

Set and communicate product vision, investment priorities and multi-year roadmaps aligned 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 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 whether to build, partner or stop investing.
Serve as executive product owner for SynAPSE and the shared platform; maintain a prioritized backlog and translate business needs into outcomes, epics and acceptance criteria.
Define reusable platform capabilities that improve product-team velocity, scalability, security, performance, observability and maintainability.
Work with Engineering and Architecture to sequence platform investments, resolve dependencies and make transparent tradeoffs between foundational work and near-term delivery.
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, focusing on differentiated healthcare client value.
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 intelligence capabilities by adoption, accuracy, operational impact, client outcomes and commercial contribution.
Lead, coach and grow product directors and data science leaders; establish outcomes, operating expectations and development plans.
Create a product operating cadence with transparent roadmaps, measurable objectives, discovery discipline, release readiness and post-launch learning.
Build working relationships across Product, Engineering, Design, Delivery, Client Success and Growth, and resolve ambiguity and cross-team dependencies.
Report portfolio progress, risks, investment needs, adoption, revenue and profitability to executives in concise, decision-oriented formats.
Partner with Growth and Product Marketing on positioning, proposals, packaging, launches and product collateral.
Engage directly with clients and users to understand workflows, validate priorities, support critical situations and communicate product direction.