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Manager, Data Products & Engineering

Manager, Data Products & Engineering

Valmont IndustriesOmaha, NE, US
14 hours ago
Job type
  • Full-time
Job description

Manager, Data Products & Engineering

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.

Essential Functions :

  • 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.
  • Reports to the Director, Software & Data Engineering and will have direct reports.

Required Qualifications of Every Candidate (Education, Experience, Knowledge, Skills and Abilities) :

  • 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).

    • Highly Qualified Candidates Will Also Possess These Qualifications :

  • 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.

    • 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

    • Valmont does not discriminate against any employee or applicant in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status, disability or any other characteristic protected by law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

    If you have a disability and require any assistance in filling out the application for employment email EEOCompliance@Valmont.com.

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