Manager, Data Platform - AI Engineering

The Manager, Data and AI Engineering is a hands-on technical leader responsible for leading and developing a team of Data Engineers and AI Engineers while actively contributing to the design, development, and deployment of enterprise Data and AI solutions.

This person will lead multiple agile teams and drive the development of modern data platforms, AI-enabled applications, intelligent agents, and Generative AI solutions while ensuring delivery excellence, scalability, security, governance, and operational support.

- Lead, mentor, and develop a team of Data Engineers, AI Engineers, and technical consultants.

- Establish team goals, performance expectations, career development plans, and technical growth initiatives.

- Foster a high-performing engineering team environment focused on innovation, collaboration, quality, and continuous improvement.

- Provide technical guidance, coaching, and code reviews across Data Engineering and AI initiatives.

- Participate in recruiting, hiring, onboarding, and workforce planning activities.

- Architect, design, develop, and support scalable data platforms utilizing Databricks and cloud-native technologies.

- Lead development of enterprise data pipelines and ETL/ELT processes supporting analytics, AI, and operational reporting.

- Drive data quality, governance, lineage, metadata management, and security practices.

- Lead the design and deployment of AI and Generative AI solutions that drive measurable business outcomes.

- Evaluate emerging AI technologies and recommend opportunities for business adoption aligned with team and enterprise objectives.

- Collaborate with Enterprise Architects to define platform standards and reference architectures.

- Ensure Data and AI solutions align with enterprise governance, cybersecurity, privacy, and compliance requirements.

- Drive platform scalability, reliability, resiliency, and operational readiness.

- Bachelor's degree in computer science, information technology, or related field or equivalent work experience.

- 7+ years of experience in Data Engineering, Software Engineering, AI Engineering, or related technical disciplines.

- 3+ years of experience leading technical teams and Agile delivery teams.

- Strong hands-on experience designing and developing enterprise data solutions.

- Strong experience leading Data Engineering and AI Engineering teams.

- Experience managing cross-functional technical teams through full software development lifecycles.

- Experience with AI tools and Platforms such as Databricks Data/AI Platform, Open WebUI, n8n, Pinecone, LangChain, LangGraph

- Experience with cloud platform technologies such as AWS or Azure, Docker, Kubernetes, CI/CD Pipelines, Monitoring and Observability Platforms (Data dog)

- Experience with Generative AI Solution Development, Retrieval-Augmented Generation (RAG), Prompt Engineering, AI Agents and Agent Frameworks, Vector Databases (pinecone) and Large Language Models (LLMs)