Data Engineering Manager

Data Engineering Manager provides strategic, technical, and operational leadership for data engineering teams and a portfolio of complex, business-critical data platforms and initiatives, ensuring delivery aligns with enterprise strategy, measurable business outcomes, security, quality, and regulatory standards. This role directs architecture and engineering practices, resource and budget planning, vendor relationships, system performance and resiliency, and the adoption of cloud, Dev Ops/Data Ops, automation, and AI-assisted engineering capabilities, while recruiting, coaching, and developing a high-performing team and partnering with business and technology leaders on data roadmaps and investment decisions.

Qualified candidates will have a bachelor’s degree in computer science or a related field, or commensurate experience, including substantial technical experience and prior team leadership or management responsibility; advanced knowledge of data warehouse and operational data store design, master data management, relational and dimensional data modeling, SQL and query optimization, ETL/ELT, APIs, CI/CD and Git, information architecture, Snowflake, Informatica, Azure data technologies, cloud and enterprise security concepts, and AI/ML applications;

and strong business acumen, communication, collaboration, project management, analytical problem-solving, and people-leadership skills.

• Provide strategic and operational leadership for data project teams comprised of technical and business teams delivering complex, business-critical applications, ensuring alignment with enterprise strategy and measurable business outcomes. Responsible for championing, orchestrating, budgeting, and directing multiple projects and initiatives simultaneously and removing impediments when necessary. Provide decision making, technical oversight, and prioritization guidance to project teams.
• Accountable for end-to-end delivery, technical direction, and performance of portfolio initiatives, including prioritization and execution excellence. Responsible for resource management of data teams by motivating, coaching, empowering, and fostering a culture of innovation and risk taking for colleagues. Facilitate the continual growth of colleagues by participating in the creation and execution of personal development plans focused on advancing data solutions and technical excellence and strong emotional intelligence.
  
  Responsible for resource allocation for projects in collaboration with business and technology leaders.
• Collaborate, coordinate, and negotiate with the data office to develop technical roadmaps in order to achieve strategic and tactical direction. Oversee implementation of technology strategies by ensuring alignment of projects with strategic direction while adhering to standards and best practices. Lead the evolution of engineering capabilities through modern practices (cloud, Dev Ops, AI-assisted development) while building high performing teams and fostering a culture of innovation, accountability, and continuous improvement.
  
  Build and maintain excellent relationships with business leaders.

Focus on speed of delivery without compromising quality, security and integrity of each system designed or implemented.

Coach and mentor each team member and foster an environment of innovation.

Must have the ability and commitment to provide effective feedback and conduct performance evaluations for individual team members. This includes goal setting, clear communication of performance expectations, ability to assess employee performance objectively, coaching as necessary and the ability to recognize employees.

Strong ability to foster necessary cross team collaboration, with both…