Vice President of Product, Platform and Intelligence
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 role owns 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 executive leadership position. The Vice President leads 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. The position sets portfolio priorities and lifecycle standards; serves as executive product owner for SynAPSE and the shared platform; guides investments in analytics, machine learning, agentic workflows and intelligent automation; and establishes responsible AI and data-product practices. It also leads and develops product and data science leaders, creates a practical product operating cadence, reports portfolio progress and business health to executives, supports go-to-market work, and engages directly with clients and users.
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, with the ability to work in depth with Engineering without replacing engineering leadership.
- Proven ability to take AI or machine-learning capabilities from experimentation into governed, reliable production use.
- Ability to manage a critical platform backlog directly, write or refine clear 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, boards or senior leadership teams.
- Bachelor’s degree in business, computer science, information systems, engineering or a related field, or equivalent practical experience.
- Self-motivated, driven, decisive, detail-oriented, results-driven and collaborative, with a commitment to high-quality deliverables, learning and improvement, and turning data into insight and action.
Nice To Haves
- Familiarity with MLOps and AI lifecycle management.
- Healthcare revenue-cycle experience, or substantial experience in another regulated, data-intensive industry.
- An advanced degree.
Responsibilities
- Set and communicate product vision, investment priorities and a multi-year roadmap 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 spanning discovery, validation, launch, adoption, performance management and retirement.
- Use market, client, operational and product-usage evidence to identify opportunities, test assumptions and determine whether 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 that improve team speed, 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 product portfolio.
- Set product strategy for analytics, machine learning, agentic workflows and intelligent automation, focusing on healthcare problems where VisiQuate can provide differentiated value.
- Lead data scientists as a product-centered intelligence team, setting 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 the value and health of intelligence capabilities, including adoption, accuracy, operational impact, client outcomes and commercial contribution.
- Lead, coach and develop product directors and data science leaders, setting 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.
- Provide executive reporting on portfolio progress, risks, investment needs, adoption, revenue and profitability.
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Executive
