Manager of Data & AI Engineering

We are looking for a Senior Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management. This role will drive the build-out of our next-generation autonomous data intelligence platform for Supply Chain Operations - from identifying high-impact opportunities to architecture, building, and productionizing solutions that deliver measurable business value. The ideal candidate brings hands-on experience in data and AI architecture and engineering while demonstrating the ability to manage a high-performing team. This person will be partnering with business stakeholders, translating operational challenges into data and AI solutions, and delivering at pace. What you’ll be doing:

• Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns.

• Deliver robust ETL/ELT, streaming, and CDC pipelines using technologies such as Spark, Kafka, Delta Lake, and AWS-native services.

• Enable AI-powered use cases with RAG applications, agent frameworks, multi-agent orchestration, APIs and web apps.

• Design data models using Star Schema, Snowflake Schema, and Data Vault patterns appropriate to the use case - optimizing for analytical query performance, data governance, and extensibility.

• Implement data quality frameworks, observability, alerting, and monitoring to ensure pipeline integrity and production reliability.

• Partner with product, business, analytics, and AI stakeholders to translate requirements into secure, scalable, and production-ready solutions.

• Oversee resource planning, prioritization, project execution, and delivery across multiple concurrent initiatives.

• Mentor engineers, grow technical capability across the team, and foster a culture of accountability, innovation, and continuous improvement.

• Provide hands-on technical leadership across architecture, design reviews, implementation guidance, and production readiness.

• Manage the full lifecycle of data engineering projects - from discovery and planning through execution and production rollout. What We Are Looking For

• Education: Master’s or Bachelor’s degree in Computer Science or Information Systems, or equivalent experience

• Experience: 15+ years in Data Engineering, Software Engineering, or web application development, with at least 3+ years specifically in a leadership or engineering management role.

• Willingness to Code: You are still a builder at heart. You are excited to spend your time writing code, prototyping, and building production systems alongside your team.

• AWS Proficiency: Intimate knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway.

• Agentic AI & LLM Mastery: Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and execute multi-step workflows.

• Databricks Mastery: Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred. Ways to stand out from the crowd

• Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).

• Active AWS Certifications (e.g., Certified Data Engineer - Associate or Solutions Architect - Professional).

• Background in managing cross-functional teams that blend data engineers with frontend and back-end software developers.
• Knowledge of supply chain business processes for Plan, Make, Deliver & Services