At Provation, data and AI are essential to driving our next wave of innovation and clinical intelligence. We are seeking a Manager of AI & Data Engineering to lead and grow high-performing teams focused on developing state-of-the-art AI/ML solutions and managing our data platform infrastructure. This leader will drive technical execution, foster a collaborative culture of experimentation and excellence, and ensure that AI and data initiatives align with Provation’s strategic goals.

JOB REQUIREMENTS:

• Education & Experience
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related technical field; equivalent experience accepted.
• 5+ years of hands-on software, AI/ML, or data engineering experience
• 2+ years in a technical leadership or people management role.
• Experience with cloud platforms such as Azure
• Proven track record of delivering production-grade AI/ML models or data infrastructure at scale
• Experience with software development tools and technologies, such as version control systems (e.g., Git), CI/CD pipelines
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud ML platforms (e.g., Azure ML).
• Deep understanding of MLOps principles and data engineering tools (e.g., MLflow, Airflow, Spark, Databricks).
• Proficiency in Python for AI/ML and C#/.NET for systems integration.
• Familiarity with modern data architectures (data lakes, lakehouses, streaming pipelines).
• Solid grasp of DevOps, CI/CD pipelines, and container orchestration (e.g., Docker, Kubernetes).
• Strong awareness of AI governance, ethics, and regulatory requirements.
• Background in healthcare IT with demonstrated technical acumen and knowledge of industry standards

• Lead AI/ML engineers and data engineers in the design, development, deployment, and monitoring of AI models and scalable data systems that power Provation’s solutions.
• Partner with stakeholders in Product, Engineering, and Medical Content to define technical strategy and roadmap for AI-powered products and enterprise data capabilities.
• Drive the adoption of best practices in machine learning (including MLOps), data engineering, and cloud infrastructure across both teams.
• Manage talent development through coaching, mentoring, performance feedback, and hiring to grow strong and diverse AI and Data teams.
• Monitor team performance, track key deliverables, and resolve blockers to ensure timely delivery of high-quality solutions.
• Lead agile execution for AI and data initiatives, participating in daily stand-ups, backlog prioritization, sprint planning, and retrospectives.
• Champion innovation by evaluating emerging AI technologies (LLMs, NLP, computer vision) and data platforms (Microsoft Fabric) to enhance business impact.
• Oversee governance, compliance, and responsible AI practices (e.g., model fairness, data privacy) especially with HIPAA and GDPR considerations.
• Drive technical architecture decisions for ML pipelines, data lakes, real-time processing, and system integration with .NET microservices and cloud-native solutions.
• Collaborate with cross-functional leads to scale the use of AI/ML and data intelligence across development.