Director of Engineering

Responsibilities

• Lead engineering teams through coaching, mentorship, performance management, and career development.
• Recruit, develop, and retain engineering talent to strengthen organizational capability and succession planning.
• Define and execute technical roadmaps aligned with enterprise, product, and business strategies.
• Partner with Product Management, Architecture, Data Science, Data Engineering, Security, and business leaders to deliver AI-enabled analytics applications and intelligent solutions.
• Establish engineering standards, architectural patterns, and best practices that ensure quality, security, scalability, reliability, and operational excellence.
• Drive adoption of modern engineering practices including Agile delivery, AI Development Lifecycle (AI-DLC), DevSecOps, MLOps, CI/CD, Infrastructure as Code, automated testing, and observability.
• Lead the delivery of secure, scalable, cloud-native applications that leverage advanced analytics, machine learning, generative AI, and intelligent automation.
• Champion Responsible AI principles and AI-DLC governance, including model evaluation, monitoring, data governance, security, privacy, and compliance.
• Lead technical risk assessment, resource planning, dependency management, and resolution of complex engineering challenges across multiple teams.
• Define and monitor engineering metrics that measure application quality, AI solution effectiveness, reliability, engineering productivity, customer adoption, and operational maturity.
• Communicate engineering strategy, delivery progress, risks, and outcomes with executive leadership and key stakeholders.
• Foster a culture of innovation, continuous learning, cross-functional collaboration, and engineering excellence.

Qualifications

• Relevant degree preferred. Advanced degree preferred.
• 7 or more years of relevant experience required.
• Demonstrated success leading engineering organizations within a matrixed environment and aligning technical strategy with business objectives required.
• Experience building, scaling, and leading software engineering teams delivering enterprise SaaS, cloud-native, AI-enabled, or analytics applications required.
• Experience developing and executing technical roadmaps aligned with product strategy and organizational priorities required.
• Experience delivering enterprise-scale solutions on Microsoft Azure or other public cloud platforms required.
• Strong understanding of modern software architecture, distributed systems, APIs, microservices, cloud-native engineering, and platform engineering practices required.
• Experience partnering with Product Management, Architecture, Data Science, Data Engineering, and Security teams to deliver AI-enabled products and data-driven solutions required.
• Experience implementing modern engineering practices including Agile, AI Development Lifecycle (AI-DLC), DevSecOps, MLOps, CI/CD, Infrastructure as Code, observability, and automated testing preferred.
• Experience with artificial intelligence, machine learning, generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent automation, or analytics platforms preferred.
• Experience with modern data and AI technologies such as Databricks, Microsoft Fabric, Azure AI Services, Azure OpenAI, lakehouse architectures, vector databases, or similar platforms preferred.
• Experience in healthcare, healthcare analytics, SaaS, or other regulated industries preferred.
• Strong leadership, communication, stakeholder management, coaching, organizational development, and strategic planning skills.

Pay

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 $135,200.00 to $236,600.00. This position is also incentive eligible.