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Suffolk Construction

Data Governance Manager

Suffolk Construction, Boston, Massachusetts, us, 02298

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Suffolk Construction Get AI-powered advice on this job and more exclusive features. About Suffolk

Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development. Overview

About Suffolk

Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development.

Suffolk – America’s Contractor – is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego. Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission critical and commercial. 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

Suffolk is scaling its Data and AI team to deliver real-time, predictive insights across all phases of the build lifecycle. To enable the vision, we are seeking a hands-on Data Governance Manager who can stand up and run the frameworks, tooling, and rituals that keep our data discoverable, trusted, secure, and compliant, while freeing our data engineering team to move fast. You will be the go-to owner for catalog, lineage, quality, security & privacy controls, and master data stewardship, ensuring every data product meets Suffolk’s strategic targets for reliability, availability, and semantic interoperability.

Responsibilities

Expand and maintain enterprise data catalog, lineage & semantic layer

Deploy and maintain data catalog across Databricks, lead further deployment of the semantic layer Curate business and technical metadata across all departments, facilitate the development of metadata that enhances Large Language Model (LLM) comprehension and accuracy when interfacing with Suffolk’s data warehouse and semantic layer, enabling AI-driven use cases such as natural language querying and summarization Lead scaling of the Master data (Project, Vendor, Budget, People etc.) and golden record rules

Implement automated data-quality & reliability controls

Embed rule-based and ML anomaly tests into pipelines and semantic layer Define and monitor SLAs (latency ≤ 15 min, uptime ≥ 99 %) with incident playbooks Drive continuous improvement to cut quality issues by 90 % year-over-year

Operationalize security & privacy by design for analytical data stack

Partner with CISO to maintain security of cloud infrastructure for analytics and AI Develop and implement data classification and access framework Own annual assessments and audits for analytical data stack Ensure adherence to all applicable data regulations and policies

Build model & AI governance framework

Establish model registry, bias/drift monitoring, and audit trails for all predictive and GenAI models Partner with Data Science to integrate governance checkpoints into pipelines

Drive adoption & data literacy

Champion “data-as-a-service” culture—making trusted data and insights the default for project teams

Qualifications

A bachelor’s or master’s degree in computer science, business analytics, mathematics, or a related field (or equivalent work experience) is required 5+ years in data governance, data engineering, or analytics within a modern cloud stack (ideally Databricks), out of then 2+ years in data governance roles, Proven track record standing up enterprise catalog/lineage and data quality automation Hands-on SQL & Python experience; comfort embedding governance checks into pipelines Deep understanding of data security and privacy regulations, and MDM best practices Excellent stakeholder skills, able to translate governance concepts to the broader teams Construction experience preferred but not required

Working Conditions

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

EEO Statement

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Construction and Civil Engineering Referrals increase your chances of interviewing at Suffolk Construction by 2x Sign in to set job alerts for “Data Governance Manager” roles.

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