Manager Data Engineering AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Data Engineering AI based in the United States.

This leadership role oversees a data engineering team responsible for building modern, AI-enabled data architectures and engineering solutions. You will shape strategic technology direction while connecting business needs with scalable data platforms and products. The position combines people leadership, architecture, software development, project management, and emerging AI capabilities. You will work across organizational boundaries with business leaders, product teams, architecture groups, and other stakeholders to drive data strategy and engineering excellence. A key focus will be applying AI, modern data platforms, and automation to improve team productivity and architectural relevance. You will also help establish strong security, compliance, governance, and operational practices in a regulated environment.

Accountabilities:

• Lead and develop the data engineering team, providing strategic direction, technical guidance, coaching, mentoring, performance management, and professional development while building a high-performing and collaborative culture.
• Develop and implement data engineering architecture strategies that leverage AI and modern engineering practices while aligning technology decisions with business objectives and organizational priorities.
• Establish reusable templates, reference architectures, and engineering patterns for modern data pipelines connecting on-premises and cloud-based data sources.
• Partner with Architecture, Product, Business Leads, and Functional Product Managers to shape data product strategy and improve data literacy and understanding across organizational data assets.
• Monitor emerging AI trends, technologies, and engineering practices and identify opportunities to apply them to improve team efficiency, productivity, data architecture, and engineering capabilities.
• Lead and support strategic projects across data engineering and IT, applying appropriate project management methodologies and maintaining visibility into objectives, priorities, resources, and outcomes.
• Serve as a senior point of contact for internal stakeholders and clients when required, communicating technical concepts and strategic decisions clearly across business and technical audiences.
• Maintain significant ownership and influence over technology decisions within the assigned area, including optimizing service costs through effective use of internal teams, external resources, and development capabilities.
• Work closely with privacy and security stakeholders to ensure information systems and networks comply with internal standards, regulatory requirements, accreditation expectations, and applicable legal obligations.
• Support the development, implementation, testing, and continuous improvement of disaster recovery, emergency operations, backup, physical security, personnel security, access-control, and related plans designed to protect data integrity, confidentiality, and availability.
• Drive continuous improvement across engineering processes and practices while supporting internal and external customer satisfaction and ensuring that special projects and assigned objectives are completed effectively.

Requirements:

• Bachelor’s degree or equivalent professional experience.
• 7+ years of combined experience in data engineering, IT, or project management, including at least 2 years of people-management experience.
• 2+ years of experience leading small to mid-sized projects using established project management methodologies, processes, and artifacts.
• 4+ years of experience working with complex datasets and modern data engineering technologies such as Hadoop, Spark, Databricks, AWS technologies, Snowflake, or comparable data integration and ETL platforms.
• 2+ years of experience working with AI engineering concepts and tools such as Retrieval-Augmented Generation (RAG), prompt engineering, LangChain, LangGraph, or similar technologies.
• Familiarity with MLOps and LLMOps capabilities and platforms, including tools such as DataRobot or comparable solutions.
• At least 2 years of hands-on experience in software development and database management, with the ability to understand and guide technical implementation decisions.
• Proficiency with Microsoft Office Suite and strong ability to communicate…