AVP, Engineering

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Vizient is seeking an experienced and transformational AVP of Engineering to lead the modernization of its Clinical Practice and Ambulatory Domain's Operational Benchmarking Platform. This leader will own the engineering strategy and execution required to build a modern, AI-native, cloud-scalable, data-driven, and highly intuitive analytics ecosystem that reduces client data acquisition burden, improves data quality and trust, and enables healthcare leaders to make better decisions through timely, actionable insights.

The AVP will lead engineering execution aligned with the CPSC modernization roadmap, including automated data acquisition and ingestion, scalable data engineering and pipelines, AI-enabled mapping and normalization, ontology-driven data models, advanced benchmarking, guided analytics, and a command-center-style executive experience. This role will establish the technical foundation and engineering practices needed to deliver these capabilities securely and at enterprise scale.

As the senior technical leader for the domain, the AVP will be accountable for engineering excellence, architecture, delivery capability, and consistent execution across multiple engineering teams. The role will translate product and enterprise strategy into executable technology roadmaps, lead complex cross-team initiatives, establish modern PDLC/AIDLC and AI-first engineering practices, and drive adoption of cloud-native, data, API, and AI technologies.

This leader will also be responsible for building and scaling a high-performing engineering organization, developing Engineering Managers and technical leaders through coaching and performance management, and strengthening engineering capabilities across the domain. The AVP will serve as a key technology partner to Product, Architecture, Data, AI, Security, and business leaders, ensuring solutions are secure, scalable, interoperable, compliant, and aligned with Vizient’s broader technology strategy.

Engineering Manager Development & Leadership

- Weekly 1:1s with Engineering Managers
- EM coaching on technical leadership and people management
- Performance management and career development for EMs
- Recruiting and developing management talent
- Team health assessment and organizational design

Strategic Technical Planning & Coordination

- Implement AI-first development patterns in partnership with enterprise AI platform providers.
- Cross-team technical architecture and dependency management (with architecture)
- Quarterly technical roadmap alignment within domain cluster
- Technical risk assessment and mitigation planning
- Standards and best practices across teams
- Complex technical problem escalation and resolution

Delivery Oversight & Accountability

- Quarterly delivery review and goal setting
- Cross-team coordination for complex initiatives
- Resource allocation and priority discussions with EMs
- Escalation point for delivery risks and impediments
- Stakeholder communication on delivery status

Organizational & Cross-Domain Interface

- VP review meetings and organizational initiatives
- Cross-domain collaboration and knowledge sharing
- Process improvement and scaling decisions
- Interface with business unit stakeholders (alongside product)

Requirements:

- Proven experience leading AI-first or AI-enabled product and platform transformations , including adoption of AI across engineering and product development.
- Deep expertise in cloud-native architecture and engineering across AWS, Azure, and/or Google Cloud Platform.
- Deep expertise in Data engineering , including design and operation of large-scale, high-performance data pipelines and data platforms.
- Deep expertise in Databricks , including modern lakehouse architectures, data processing, analytics, and enterprise-scale implementations.
- Strong expertise in API-driven architecture and ecosystem design , including scalable integration patterns and platform interoperability.
- Experience delivering technology solutions within regulated industries , preferably healthcare.
- Strong understanding of enterprise data governance, privacy, security, risk, and regulatory compliance .
- Demonstrated ability to build, scale, and lead high-performing engineering organizations , including talent development and organizational transformation.
- Experience implementing and evolving modern Product Development Life Cycle (PDLC), SDLC, DevSecOps, and AI Development Life Cycle (AIDLC) practices .
- Experience establishing AI-enabled engineering practices , including AI-assisted software development, testing, automation, and engineering productivity.
- Strong understanding of modern distributed systems, microservices, event-driven architectures, and scalable platform engineering principles .
- Proven ability to operate effectively across hybrid, geographically distributed, and cross-functional teams , partnering closely with Product, Architecture, Data, Security, and business stakeholders.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $290,100.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer:   Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.