data science manager

Data Science Manager Job Locations US-RI-Providence | US-OH-Cleveland | US-OH-Columbus | US-IN-Indianapolis | US-WI-Milwaukee | US-FL-Jacksonville | US-FL-Orlando | US-PA-Pittsburgh | US-VA-Richmond | US-FL-Tampa | US-GA-Atlanta | ... Requisition ID 2026-13540 Category Information Technology Overview Do you consider yourself to be a highly technical, strong communicator with the desire to work in a team environment on complex projects? Gilbane is seeking a Data Science Manager to lead a team responsible for applying advanced analytics, statistics, machine learning, causal inference, and artificial intelligence (AI) to solve complex business problems and improve outcomes. This role combines technical leadership, people management, stakeholder partnership, and solution delivery to move models, insights, and AI-enabled capabilities into production and adoption. This leader helps the organization understand business drivers, predict outcomes, identify opportunities, and translate complex analytical concepts into clear, actionable recommendations. Who are we? As a Top-10 ENR Contractor, Gilbane is a family-owned business with 45 offices that has been shaping communities since 1870. Consistently recognized as one of the most reputable construction management firms in the country, Gilbane is committed to delivering projects safely and on-time. You will have the opportunity to build schools, labs, hospitals, corporate offices, sports arenas and more! We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Who are you? You are a coach/leader who leads with an inclusive and empathetic mindset. You provide feedback and guidance to help others excel in their current or future roles. You determine priorities, delegate work, and effectively communicate progress. You establish measures to assess the impact, quality, and timeliness of results while praising successes and sharing lessons learned. You build high performing teams by attracting, engaging, developing, and retaining talented individuals through motivation and discipline to maximize impact on the organization and the individual. You leverage business insights by understanding industry trends, local market/economic conditions, and Gilbane's business model to make critical decisions and create competitive advantage. You deploy a strategic mindset when considering solutions to long-term opportunities and risks that may develop in the future. Your core values match Gilbane's: Integrity, Caring, Teamwork, Toughmindedness, Dedication to Excellence, Discipline, Loyalty, and Entrepreneurship. What's in it for you? Gilbane offers employees multi-dimensional training opportunities through a number of resources. While managing your responsibilities to projects, you will be able to enroll in trainings through our award-winning Gilbane University to build leadership and technical skills. In addition, you would work with an experienced team which provides you with the opportunity to learn new industry skills every day. You will protect and promote the interests of both Gilbane and the client in all matters as well as demonstrating the personal characteristics of a developing leader. Responsibilities 1. Leads, coaches, and develops data scientists through technical direction, career guidance, performance feedback, and professional growth support 2. Sets standards for analytical quality, experimentation, causal inference, machine learning, AI solution design, model documentation, reproducibility, validation, and responsible AI use 3. Guides the team in applying statistical analysis, predictive modeling, feature engineering, data mining, and scientific research methods to solve b siness problems 4. Reviews analytical approaches, model assumptions, feature development, variable importance, and results interpretation to ensure outputs are reliable, explainable, and actionable 5. Prioritizes the portfolio based on business value, feasibility, stakeholder readiness, data quality, and strategic alignment 6. Builds trusted relationships with business leaders, subject matter experts, Data Engineering, Business Intelligence (BI), and Information Technology (IT) 7. Translates ambiguous business questions into well-scoped analytical problems, hypotheses, measurable outcomes, and executable plans 8. 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 9. Communicates insights, recommendations, risks, tradeoffs, and opportunities to executive and non-technical audiences through clear storytelling, presentations, and documentation 10. Responsible for the career development and coaching of team members 11. Fosters a positive and inclusive work environment to motivate and engage team members 12. Interprets and translates the organizational strategy, ensuring team understanding of their role in accomplishing strategic goals Qualifications EXPERIENCE/EDUCATION 1. 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 2. PhD preferred 3. 5 years of experience as a Data Scientist 4. 2+ years of people management experience leading data scientists, analysts, applied scientists, or quantitative researchers 5. Or equivalent combination of education and experience KNOWLEDGE, SKILLS & ABILITIES 1. Deep knowledge of statistical analysis, predictive modeling, machine learning, data mining, feature engineering, causal inference, and scientific research methods 2. Strong technical proficiency in industry standard data science and analytics tools and programming languages 3. Demonstrated experience applying analytics, AI, machine learning, and causal inference to real business problems from discovery through implementation and adoption 4. Strong communication, consultative, and presentation skills, with the ability to explain complex methods and model outputs to non-technical audiences 5. Proven ability to partner with business stakeholders, technical teams, and subject matter experts 6. Experience deploying machine learning or AI solutions into production with engineering, Business Intelligence (BI), or technology teams 7. Experience building data science operating models, delivery standards, model governance, reusable analytical frameworks, or process changes based on analytical findings Visa Sponsorship: This position is not eligible for employment visa sponsorship. Applicants must be a