Manager, Data Science

Overview

About Suffolk  

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds. 

 

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram. 

 

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That’s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially. 

 

Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more.  For more information, click here. 

 

Role Summary

Suffolk Construction is seeking a Manager, Data Science to join our Data Product team. This is a hands-on technical leadership role: you will contribute directly to high-impact modeling work while managing and developing a small team of data scientists. You will shape the team’s modeling strategies, elevate technical rigor, and drive Suffolk’s transformation from data-as-a-product (DaaP) to a data-as-a-service (DaaS) operating model - delivering scalable, reusable, and governed data and ML services across the enterprise. 

Responsibilities

Team Leadership & Talent Development 

• Manage and develop a team of data scientists providing mentorship, coaching, and structured growth pathways. 

• Lead by example through consistent technical contribution, reinforcing standards for model design, code quality, reproducibility, and documentation. 

• Partner with the Senior Director, Data Product on resource planning, prioritization, and roadmap execution. 

 

ML Product Development & Technical Ownership 

• Lead the design, development, and maintenance of ML-driven products and services, including predictive models, risk scoring engines, exception detection services, and upcoming generative AI applications. 

• Build reusable ML components and services that can be consumed across multiple business units—aligning with a DaaS mindset. 

• Own the full ML lifecycle from exploration to production: data extraction, feature engineering, model training, evaluation, deployment, monitoring, and iteration. 

• Collaborate closely with data engineering to influence data architecture, pipeline design, data modeling, and model-serving platforms. 

 

Strategic Impact & Stakeholder Engagement 

• Translate business priorities into product roadmaps; what problems we solve, in what order.  

• Communicate complex technical findings to non-technical audiences in a way that influences decisions at scale. 

• Orchestrate cross-functional delivery across BI, data engineering, data science, and AI. . 

• Defines clear product boundaries and backlogs, user stories, scope, acceptance criteria, and delivers product increments end-to end.  

 

Technical Standards & Best Practices 

• Establish and cha