Data Science Manager: Lead Analytics & AI for Impact

Gilbane Building Company; Milwaukee (WI); On-site; USD 180,000 - 210,000; Full time

Job summary

Gilbane Building Company is seeking a Data Science Manager to lead a team applying analytics, statistics, ML, and AI to solve complex business problems and drive production adoption. This role blends technical leadership, stakeholder partnership, and solution delivery to move models and insights into production, shaping decisions and outcomes across projects in multiple markets.

You will guide analysts, engineers, and SMEs, set standards for quality and reproducibility, and communicate findings

Qualifications

• Bachelor's degree required; master's degree required in statistics, data science, economics, psychology (industrial/organizational, research, or experimental focus), biometrics, or another heavily quantitative field; applied science preferred
• PhD preferred
• 5 years of experience as a Data Scientist
• 2+ years of people management experience leading data scientists, analysts, applied scientists, or quantitative researchers
• Or equivalent combination of education and experience
• Deep knowledge of statistical analysis, predictive modeling, machine learning, data mining, feature engineering, causal inference, and scientific research methods
• Strong technical proficiency in industry standard data science and analytics tools and programming languages
• Demonstrated experience applying analytics, AI, machine learning, and causal inference to real business problems from discovery through implementation and adoption
• Strong communication, consultative, and presentation skills, with the ability to explain complex methods and model outputs to non-technical audiences
• Proven ability to partner with business stakeholders, technical teams, and subject matter experts
• Experience deploying machine learning or AI solutions into production with engineering, Business Intelligence (BI), or technology teams
• Experience building data science operating models, delivery standards, model governance, reusable analytical frameworks, or process changes based on analytical findings

Responsibilities

• Leads, coaches, and develops data scientists through technical direction, career guidance, performance feedback, and professional growth support
• Sets standards for analytical quality, experimentation, causal inference, machine learning, AI solution design, model documentation, reproducibility, validation, and responsible AI use
• Guides the team in applying statistical analysis, predictive modeling, feature engineering, data mining, and scientific research methods to solve business problems
• Reviews analytical approaches, model assumptions, feature development, variable importance, and results interpretation to ensure outputs are reliable, explainable, and actionable
• Prioritizes the portfolio based on business value, feasibility, stakeholder readiness, data quality, and strategic alignment
• Builds trusted relationships with business leaders, subject matter experts, Data Engineering, Business Intelligence (BI), and Information Technology (IT)
• Translates ambiguous business questions into well-scoped analytical problems, hypotheses, measurable outcomes, and executable plans
• Educates stakeholders and partners with business subject matter experts (SMEs) to share knowledge on analytics, AI, and machine learning processes, validate findings, improve adoption, and influence process changes based on analytical recommendations
• Communicates insights, recommendations, risks, tradeoffs, and opportunities to executive and non-technical audiences through clear storytelling, presentations, and documentation
• Responsible for the career development and coaching of team members
• Fosters a positive and inclusive work environment to motivate and engage team members
• Interprets and translates the organizational strategy, ensuring team understanding of their role in accomplishing strategic goals

Skills

Data science

People management

Statistical analysis

Machine learning

Communication

Education

Bachelor's degree

Master's degree

PhD preferred

Job description

Gilbane Building Company is seeking a Data Science Manager to lead a team applying analytics, statistics, ML, and AI to solve complex business problems and drive production adoption. This role blends technical leadership, stakeholder partnership, and solution delivery to move models and insights into production, shaping decisions and outcomes across projects in multiple markets.

You will guide analysts, engineers, and SMEs, set standards for quality and reproducibility, and communicate findings