Vice President Research & Development

The Vice President, Research & Development leads the R&D organization for OnePulse, a healthcare software portfolio of more than eight products.

This executive is responsible for creating a consistent and effective approach to technology strategy, engineering execution, quality, reliability, and technical operations while recognizing the different needs, maturity levels, and technologies of each product.

The VP of R&D partners closely with Product to translate market priorities, customer needs, and roadmap direction into executable technical plans.

The ideal candidate combines strong technical judgment, operational discipline, business acumen, and the ability to lead geographically dispersed teams through meaningful change, including the adoption of AI enabled ways of working.

This position leads the OnePulse R&D organization and is responsible for organizational design, workforce planning, hiring, performance management, leadership development, succession planning, retention, and effective use of employees, contractors, and partners across a geographically dispersed team.

The role is remote eligible to anyone in the U.S.

Responsibilities & Duties:

• Create and maintain a portfolio level technology strategy across more than eight products, balancing stability, modernization, customer commitments, regulatory expectations, and growth opportunities.

• Partner with other business leaders to translate product priorities into realistic technical roadmaps, capacity plans, sequencing, and investment recommendations.

• Provide technical and architectural leadership across products built with varied technology stacks, programming languages, databases, hosting models, integration patterns, and legacy constraints.

• Own engineering execution, including planning, delivery predictability, release management, quality engineering, product reliability, incident learning, and technical escalation.

• Establish practical engineering standards and governance while allowing appropriate flexibility for each product and technology environment.

• Develop a pragmatic modernization approach grounded in customer value, business continuity, risk reduction, maintainability, and financial reality.

• Rethink the software development lifecycle for an AI enabled environment, applying AI across development, testing, documentation, operations, and engineering decision making.

• Establish appropriate AI guardrails for security, privacy, intellectual property, data handling, compliance, risk, governance, and human review, and measure whether adoption improves quality, throughput, cycle time, or customer value.

• Lead, coach, and develop a geographically dispersed R&D organization across products and time zones, with clear decision rights, goals, accountability, succession plans, and reduced key person dependencies.

• Own R&D budgets, forecasts, workforce plans, vendor decisions, and investment tradeoffs, connecting technology decisions to customer...