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 an Senior IT Manager can change yours.
The Senior Manager, Decision Intelligence leads the team that turns Michels’ enterprise data platform into business value. This role builds and leads Analytics Engineering, Enterprise Reporting, Advanced Analytics, and Data Enablement, helping business and operations teams use trusted data to improve decisions, reduce manual effort, and scale better ways of working.
This role sits on the Enterprise Intelligence leadership team and is expected to advise senior leaders, manage and develop a team, guide analytical quality, and focus the team on the highest-value opportunities. The team will enable self-service where appropriate, partner deeply where expertise is needed, and own selected business-critical analytics solutions that require long-term reliability and support.
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:
- Build and lead the Decision Intelligence team across analytics engineering, reporting, advanced analytics, and enablement.
- Advise business and operations leaders on where data, analytics, reporting, or data-driven AI-enabled decision support can improve outcomes.
- Own the decision intelligence roadmap and prioritize work using clear value criteria, including business impact, urgency, adoption potential, reuse, delivery effort, and long-term durability.
- Establish intake, triage, and prioritization practices that balance strategic initiatives, operational needs, quick wins, and foundational capability building.
- Lead delivery of trusted reports, dashboards, semantic models, KPI frameworks, and executive-ready decision materials.
- Guide analytics engineering practices that make data reusable, documented, intuitive, and ready for self-service.
- Lead advanced analytics use cases such as forecasting, diagnostics, scenario modeling, and predictive insights.
- Own selected business-critical analytics solutions through delivery, production support, governance, and continuous improvement.
- Enable users through training, templates, office hours, communities, and reusable patterns.
- Establish standards for metric definitions, reporting quality, documentation, access, refresh reliability, and issue management.
- Partner with business leaders to define expected outcomes, success measures, and value realization plans for major analytics and decision intelligence initiatives.
- Measure adoption, product health, value realization, and team capacity to guide prioritization and communicate impact.
Qualifications:
- Bachelor’s degree in Information Systems, Engineering, Business, Finance, Engineering, Computer Science, Statistics, or a related quantitative field, or equivalent experience.
- 8+ years of experience in business intelligence, analytics, analytics engineering, data product management, advanced analytics, or decision science.
- 4+ years of people leadership experience, including hiring, coaching, prioritization, and delivery accountability.
- Experience partnering with senior business or operations leaders to translate ambiguous problems into analytical approaches.
- Experience using value, feasibility, adoption, and risk criteria to prioritize analytics, reporting, or data product roadmaps.
- Experience leading enterprise reporting, KPI frameworks, semantic models, dashboards, and self-service analytics enablement.
- Strong understanding of modern data platforms, BI tools, semantic layers, data modeling, data quality, and governed consumption patterns.
- Hands-on fluency with SQL, modern BI tools such as Power BI, Tableau, or Qlik and data cloud platforms including Microsoft Fabric, Google BigQuery, Databricks and Snowflake
- Strong stakeholder management, facilitation, communication, and change-management skills.