Lead Data Product Manager, Enterprise Platform

Michels; Wisconsin; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Life insurance

401(k) plan

Training investment

Job summary

Michels Corporation is seeking a Staff Data Product Manager to shape the enterprise data strategy and lead data products enabling self-service access to trusted information across the organization.

You will guide the enterprise data platform, work with stakeholders to identify high-value opportunities, and balance early wins with long-term governance and scalability for analytics, reporting, and AI.

Qualifications

• 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.

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.

Skills

Data product management

Stakeholder collaboration

Cloud data platform

Roadmap definition

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Microsoft Fabric

BigQuery

Job description

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.

• 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.

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