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Construction, Civil Engineering, Energy, Utilities

Staff Data Product Manager

BrownsvilleOnsiteFull TimeStaffPosted 2 months ago

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Required skills

  • data product management
  • enterprise data strategy
  • data governance
  • data quality
  • data lineage
  • cloud data platform
  • product roadmaps
  • user stories
  • success metrics
  • semantic models

Nice to have

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • BigQuery
  • Agile

Role summary

Michels Corporation is seeking a Staff Data Product Manager to shape their enterprise data strategy and lead the development of data products. This role will guide the evolution of the enterprise data platform, collaborating with stakeholders to identify opportunities and make strategic investments. The Data Product Manager will ensure data powers analytics, reporting, operational insights, and AI across the company. The ideal candidate has a Bachelor's degree or equivalent experience and 7+ years in data product management, with a strong understanding of data management concepts and experience with cloud data platforms.

Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Staff Data Product Manager can change yours.

The Staff Data Product Manager shapes Michels' enterprise data strategy and leads the effort to define, prioritize, and manage the data products that give the organization self-service access to trusted, reusable data. As a founding leader on the Enterprise Intelligence team, this person guides the standup and evolution of the enterprise data platform, working closely with stakeholders to understand their needs, identify high-value opportunities, and make deliberate investments that balance early wins with the durability, governance, and scalability required for the long term. Ultimately, this role determines how effectively data powers analytics, reporting, operational insight, and AI across the Michels Family of Companies.

Why Michels?

  • We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors
  • Our steady, strategic growth revolves around a commitment to quality
  • We are family owned and operated
  • We invest an average of $5,000 per employee on training each year
  • We reward hard work and dedication with limitless opportunities
  • We believe it is everyone’s responsibility to promote safety, regardless of job titles.
  • We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
  • Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan

    • Why you?

  • You thrive in fast-paced environments under tight deadlines
  • You enjoy collaborating and communicating with your teammates
  • You like to know your efforts are noticed and appreciated
  • You have strong time management, verbal, and written communication skills

    • Key Responsibilities:

  • Engage stakeholders across business and technology to surface pain points, clarify needs, and uncover where better data improves decisions.
  • Prioritize the highest-value opportunities, deciding which platform capabilities are worth enabling and which products are worth building and why to maximize business value as the platform is established.
  • Define curated, intuitive data products, including tables and semantic models, across all domains.
  • Translate business needs into actionable stories and acceptance criteria, then guide engineering through development, testing, and delivery.
  • Uphold quality and consistency standards so the data assets are documented, dependable, and suited for self-serve consumption.
  • Measure adoption and outcomes, using those signals to validate value and guide what comes next.

    • Qualifications:

  • Bachelor's degree in Business, Technology, Engineering, Computer Science, a quantitative field, or equivalent practical experience.
  • 7+ years of experience in data product management, guiding cross-functional teams to deliver data products on a scalable cloud data platform for enterprise consumption.
  • Proven experience defining product roadmaps, requirements, user stories, and success metrics while guiding products or platforms through the full lifecycle from discovery through adoption.
  • Strong understanding of data management concepts including data governance, metadata, data quality, data lineage, and the principles required to build trusted and reusable enterprise data assets.
  • Exposure to leading cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or similar technologies.

    • AA/EOE/M/W/Vet/Disability

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