Senior Manager, AI & Data Engineering
Senior Manager, AI & Data Engineering
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1 Vacancy
Job Description
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 highperforming teams focused on developing stateoftheart 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 Provations strategic goals.
Duties & Responsibilities:
- Lead AI/ML engineers and data engineers in the design development deployment and monitoring of AI models and scalable data systems that power Provations solutions.
- Partner with stakeholders in Product Engineering and Medical Content to define technical strategy and roadmap for AIpowered 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 highquality solutions.
- Lead agile execution for AI and data initiatives participating in daily standups 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 realtime processing and system integration with .NET microservices and cloudnative solutions.
- Collaborate with crossfunctional leads to scale the use of AI/ML and data intelligence across development.
Job Requirements:
- Education & Experience
- Bachelors or Masters degree in Computer Science Data Science AI/ML or related technical field; equivalent experience accepted.
- 5 years of handson 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 productiongrade 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 Scikitlearn) 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
Required Experience:
Senior Manager
Employment Type
Full-Time
