Director of Data Engineering & Analytics

Job Title: Director of Data Engineering & Analytics
Primary Location: Chicago, IL – Hybrid (3 days onsite per week)
Position Type: Direct Hire / Full-Time
Salary: $205,000 – $225,000 annually + Benefits

Overview

TalentFish is casting a line for a Director of Data Engineering & Analytics. This is a full-time, direct-hire opportunity with our CLIENT, a leading manufacturing organization in the Chicago area. This hybrid position requires three days onsite per week.

We are seeking a dynamic, results-driven leader who combines deep technical expertise in modern data engineering and analytics with exceptional leadership, team-building, and business partnership skills.

The ideal candidate brings proven manufacturing industry experience, strong knowledge of Snowflake data lakehouse architecture, and a demonstrated ability to lead people, processes, and data products to deliver measurable business value.

This leader will drive the data engineering and analytics strategy, develop high-performing teams, and partner with business executives to transform enterprise data into actionable insights that improve operational efficiency, manufacturing performance, and profitability.

What You Bring to the Role. (Ideal Experience)

• Manufacturing Industry Experience: Required experience leading data engineering and analytics initiatives within a manufacturing organization, with a strong understanding of manufacturing operations, supply chain, procurement, inventory, and operational performance metrics.
• Exceptional Leadership & Team Building: 10+ years of progressive data engineering and analytics experience, including 4+ years leading technical teams. Demonstrated success building, mentoring, developing, and retaining high-performing teams while creating a culture of accountability, collaboration, and continuous improvement.
• Snowflake & Modern Data Architecture: Strong technical knowledge of Snowflake data lakehouse architecture, enterprise data engineering, ETL/ELT pipelines, data integration, SQL, data modeling, governance, and business intelligence platforms such as Power BI.
• Business Value & Strategic Execution: Proven ability to translate business objectives into actionable data strategies, prioritize investments, manage competing initiatives, and deliver measurable outcomes, including cost reduction, productivity improvements, operational efficiencies, and improved decision-making.
• People, Process & Product Management: Demonstrated success managing teams, delivery processes, budgets, vendors, and enterprise data products. Excellent executive communication, stakeholder management, organizational leadership, and change management skills.

What You'll Do. (Skills Used in this Position)

• Lead & Develop High-Performing Teams: Provide strategic and operational leadership for data engineering and analytics teams. Recruit, coach, mentor, and develop talent while establishing clear expectations, accountability, delivery standards, and a strong team culture.
• Own the Snowflake Data & Analytics Strategy: Lead the evolution and optimization of the enterprise Snowflake data lakehouse, overseeing data architecture, engineering, integration, governance, analytics platforms, and scalable data products that support manufacturing and enterprise business needs.
• Drive Measurable Business Value: Partner with manufacturing, supply chain, procurement, finance, and executive leadership to identify high-impact opportunities and deliver data-driven solutions that improve production efficiency, inventory optimization, supply chain performance, cost management, and profitability.
• Manage People, Processes & Products: Own the data engineering and analytics roadmap, project portfolio, resource allocation, budgets, and delivery lifecycle. Establish scalable processes, prioritize initiatives, manage technical and business teams, and ensure solutions are delivered on time with measurable results.
• Champion Data-Driven Transformation: Build strong relationships with business stakeholders, drive adoption of analytics solutions, establish data quality and governance standards, and lead modernization initiatives that transform enterprise data into trusted, actionable business intelligence.

Compensation Information

The expected salary range for this position is $205,000 – $225,000 annually, depending on experience and qualifications. This role also qualifies for a comprehensive benefits package, including health insurance, 401(k), and paid time off.

TalentFish is committed to pay transparency and equal opportunity. The salary range provided reflects the anticipated compensation for this position.

Additional Information

Candidates must be authorized to work in the United States. Employment may be contingent upon successful completion of a background check.

About TalentFish

TalentFish is an employee-owned staffing and recruiting firm specializing in connecting exceptional technology professionals with outstanding career opportunities. We provide contract, contract-to-hire, and direct-hire staffing solutions across technology, data, analytics, cybersecurity, and business operations.

Equal Opportunity Employer

TalentFish is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable law.