Director Of Data Engineering & Analytics

Executive Leadership Opportunity | Chicago, IL

$205,000–$225,000 Base Salary + Comprehensive Benefits

Talent Fish is partnering with an established, industry-leading manufacturing organization in Chicago to identify an exceptional Director of Data Engineering & Analytics.

This is an exciting opportunity for an accomplished leader who combines deep technical expertise with the ability to build outstanding teams, shape enterprise data strategy, and deliver measurable business results.

We're looking for someone who understands that successful data transformation goes beyond technology. It's about people, processes, data products, and the ability to turn information into a competitive advantage.

• Location:
  
  Chicago, IL | Hybrid — 3 days onsite per week
• Compensation: $205,000–$225,000 annually + benefits
• Employment:
  Full-Time | Direct Hire
• Industry: Manufacturing

As Director of Data Engineering & Analytics, you will provide strategic and operational leadership for the organization's enterprise data engineering and analytics function.

You will own the evolution of a modern Snowflake data lakehouse, lead and develop high-performing teams, and partner with executive leadership to deliver data-driven solutions that improve manufacturing performance, operational efficiency, supply chain effectiveness, and profitability.

This role offers the opportunity to influence enterprise technology strategy while making a tangible impact on business performance.

Manufacturing Industry Experience — Required

Proven experience leading data engineering and analytics initiatives within a manufacturing organization. A strong understanding of manufacturing operations, supply chain, procurement, inventory, and operational performance is essential.

Exceptional Leadership & Team Development

10+ years of progressive data engineering and analytics experience, including at least 4 years leading technical teams. Demonstrated success recruiting, mentoring, developing, and retaining high-performing talent while fostering accountability, collaboration, and continuous improvement.

Snowflake & Modern Data Architecture

Strong technical expertise in Snowflake lakehouse architecture, enterprise data platforms, ETL/ELT pipelines, SQL, data integration, data modeling, governance, and business intelligence tools such as Power BI.

Strategic Vision & Business Impact

A proven ability to translate business objectives into actionable data strategies and deliver measurable outcomes, including improved productivity, cost optimization, operational efficiency, and better executive decision-making.

Executive Partnership & Organizational Leadership

Experience managing budgets, vendors, delivery processes, enterprise data products, and complex initiatives. Exceptional communication skills and the ability to influence senior stakeholders across technology, operations, supply chain, procurement, and finance.

• People:
  Build, mentor, and develop a high-performing data engineering and analytics organization.
• Technology:
  Own the strategy, architecture, optimization, and evolution of the enterprise Snowflake data platform.
• Processes:
  Establish scalable engineering standards, governance practices, delivery frameworks, and operational excellence.
• Data Products:
  Deliver trusted, scalable analytics capabilities that enable better business decisions.
• Business Transformation:
  Partner with executive leadership to improve manufacturing efficiency, inventory management, supply chain performance, and profitability.

A leader who can move seamlessly between technical architecture discussions and executive strategy meetings.

Someone who understands manufacturing operations, has successfully led modern data platforms, and knows how to inspire teams to deliver exceptional results.

This is not simply a technology management position. It is an opportunity to shape how a manufacturing organization uses data to drive its future.

Talent Fish is committed to equal employment opportunity. All qualified applicants will receive consideration without regard to any characteristic protected by applicable law.