Director of Engineering
Vizient•Chicago, IL
•$135,200 - $236,600
About The Position
In this role, you will provide strategic and technical leadership across engineering teams delivering AI-enabled intelligent analytics applications that transform enterprise data into actionable insights. You will develop engineering talent through coaching and performance management, translate enterprise strategy into technical roadmaps, and lead cross-functional initiatives that drive engineering excellence and delivery. Partnering with Product Management, Architecture, Data Science, Data Engineering, Security, Operations, and business stakeholders, you will deliver secure, scalable, cloud-native solutions while establishing modern engineering practices and AI Development Lifecycle (AI-DLC) governance to ensure the responsible delivery of innovative, data-driven solutions.
Requirements
- 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.
- Strong leadership, communication, stakeholder management, coaching, organizational development, and strategic planning skills.
Nice To Haves
- Relevant degree preferred. Advanced degree preferred.
- 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.
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.
Benefits
- Comprehensive benefits plan
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What This Job Offers
Job Type
Full-time
Career Level
Director
