Find Jobs
Find Jobs Near You – Available Work in Your Location
Head of Data Architecture & AI
Career Insights for Data Architect
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Massachusetts data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Architect develops computer databases for a company or organization. Designs, builds and implements databases and database systems that meet business requirements. Supports database administration, develops database security policies and works to prevent cyber attacks.
$154,989 / year median in Massachusetts
-1% projected decline
Job Description
Head of Data Architecture & AI at TG Gallagher Head of Data Architecture & AI at TG Gallagher in Weston, Massachusetts Posted in about 16 hours ago.
Type:
full-time TG Gallagher is seeking a strategic, forward-thinking individual to serve as our Head of Data Architecture & AI . This role will lead our enterprise data, analytics, and AI initiatives by shaping how the organization collects, structures, and activates data to drive executive decision-making, operational efficiency, and long-term growth. This innovative leader will oversee the full data lifecycle-spanning ERP/CRM ecosystems, cloud data platforms, analytics, and AI-while serving as a trusted advisor to executive leadership.
KEY RESPONSIBILITIES
Enterprise Data Architecture Own enterprise data architecture and long-term data roadmap. Assess current technologies and define a source system strategy across ERP, PMS, CRM, HRIS, file storage, estimating, scheduling, and field operations platforms, aligning current and future technologies with the data architecture strategy. Drive and enhance business processes leading cross functional teams with department heads to enhance analytical visibility into the business. Design and govern enterprise semantic layer, business definitions, and master data standards. Establish enterprise-wide data governance, metadata management, lineage, and data quality frameworks. Serve as the strategic data lead overseeing alignment with external IT partners. Data Engineering & Infrastructure Architect and manage cloud-native data platforms e.g. Snowflake, AWS, Azure, Databricks, or equivalent technologies. Design scalable ELT/ETL frameworks using APIs, CDC, event-driven architectures, and orchestration tools. Oversee data warehouse performance, optimization, security, and cost management. Develop and maintain enterprise data models supporting operational, financial, project, and executive analytics. Systems Integration & APIs Lead enterprise system integration strategy across ERP, CRM, project management, estimating, scheduling, HR, payroll, and document management systems. Design and oversee API architecture, integration patterns, webhooks, middleware, and data exchange standards. Evaluate and implement integration technologies and automation platforms. AI & Data Product Leadership Define company-wide AI strategy and roadmap. Current state readiness vs target state readiness. Identify and prioritize AI use cases with measurable business outcomes. Lead implementation of AI copilots, retrieval systems, knowledge management platforms, and generative AI applications. Establish governance standards for AI security, privacy, model monitoring, and responsible AI adoption, row level security. Executive Leadership Act as strategic partner to CEO, President, COO, CFO, and executive leadership team. Develop multi-year enterprise data and AI investment roadmap. Drive cultural adoption and training workshops to enhance end user proficiency. Build and lead high-performing teams across data engineering, analytics, BI, and AI disciplines.
QUALIFICATIONS
Data Platform Expertise 5+ years leading enterprise analytics, data engineering, data architecture initiatives. Experience designing and administering cloud data warehouses such as Snowflake, Databricks, Redshift, MySQL Server. Expertise in dimensional modeling, data vault, medallion architecture, and enterprise semantic layer design. Cloud & Infrastructure Hands-on experience with AWS and/or Azure preferred.
Experience with:
S3 / Data Lake architecture IAM & security Lambda ECS/Fargate API Gateway EventBridge CloudWatch Secrets Manager CI/CD pipelines Data Engineering Strong SQL and Python expertise Experience with: Airflow dbt Kafka/Event Streaming REST APIs GraphQL APIs Custom scripting and other scripting languages Business Intelligence Advanced experience with: Power BI Tableau Semantic Models Data Products Executive Dashboards Development Self-Service Analytics Some experience within the construction industry or a basic understanding of the construction business AI & Modern Data Stack Experience deploying: LLM solutions - Claude Enterprise, Chat GPT Enterprise RAG architectures Vector databases MCP servers Agent frameworks knowledge (Preferred) AI governance frameworks ERP & Construction Technology Experience integrating construction technologies similar to: Vista Trimble Construction One Egnyte, Point MS365 Suite Procore, Autodesk, CMIC Salesforce FP&A Software's HRIS/Payroll systems Scheduling platforms Estimating + Preconstruction systems BIM and Fabrication systems/software's TG Gallagher provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.