Director of AI-Driven Analytics & Engineering

Vizient, Inc.

Edina (MN)

On-site

USD 135,200 - 236,600

Full time

14 days+

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Job summary

Vizient, Inc. seeks a senior engineering leader to drive strategic and technical direction across teams delivering AI-enabled analytics applications that transform enterprise data into actionable insights.

You will coach engineering talent, translate enterprise strategy into technical roadmaps, and partner with Product Management, Architecture, Data Science, Data Engineering, Security, Operations, and business stakeholders to deliver secure, scalable cloud-native solutions while upholding AI-DLC

Qualifications

7+ years of relevant experience leading engineering organizations.
Experience delivering enterprise SaaS, cloud-native, AI-enabled, or analytics applications.
Experience delivering solutions on Microsoft Azure or other public cloud platforms.

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.