Manager, Data Products & Engineering

Valmont Industries, Inc. • Omaha, NE

85d

About The Position

The Manager, Data Products & Engineering will be a hands-on and business-savvy data leader managing the development of data products and platforms that drive strategic insights and operational efficiency. This role will lead a team of data engineers, analysts, and ML engineers to build scalable data solutions, deliver impactful analytics, and enable data-driven decision-making across the organization.

Requirements

• Bachelor’s degree is preferred with 10+ years of experience, or Associate’s degree with 12+ years.
• Minimum of 10 years of experience in data engineering, analytics, or machine learning, including at least 2 years in leadership or product-focused role.
• Strong hands-on proficiency in SQL, Python, and Databricks.
• Design and optimize scalable data pipelines using Databricks notebooks and Delta Lake for both batch and streaming data processing.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Skilled in designing and managing data pipelines, data models, and analytics platforms.
• Familiarity with CI/CD practices, DevOps for data, and version control tools like GitHub or Azure DevOps.
• Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker).

Nice To Haves

• Understanding MLOps and deploying ML models in production environments.
• Experience with model monitoring, retraining, and performance tracking to ensure ML models remain accurate and relevant in production.
• Familiarity with ML lifecycle tools and platforms such as MLflow, SageMaker, or Azure ML for managing experiments, deployments, and versioning.

Responsibilities

• Lead the design and delivery of data products that support business goals and customer needs.
• Collaborate with product, business, and technology teams to translate requirements into scalable data solutions.
• Architect and manage data pipelines, data models, and analytics platforms using tools like Databricks, SQL, and Python.
• Drive the development of dashboards, ML models, and self-service analytics for business stakeholders.
• Ensure data quality, governance, and performance across systems.
• Mentor and manage a cross-functional team of data professionals.

Benefits

• Healthcare (medical, prescription drugs, dental and vision)
• 401k retirement plan with company match
• Paid time off
• Employer paid life insurance
• Employer paid short-term and long-term disability including maternity leave
• Work Life Support
• Tuition Reimbursement up to $5,250 per year
• Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees