Head of Data Architecture & AI

TG Gallagher
Watertown, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Watertown, United States of America

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Automated Storage and Retrieval Systems
Azure
Cloud Computing
Cloud Database
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Vault Modeling
Data Warehousing
Document Management Systems
Dimensional Modeling
File Systems
Electronic Data Interchange (EDI)
Human Resources Information System (HRIS)
Middleware
Executive Information Systems
Monitoring of Systems
Identity and Access Management
Python
Knowledge Management
Project Management Software
Automation of Marketing
Meta-Data Management
MySQL
Power BI
Cloud Services
Standard Sql
Salesforce
SharePoint
Data Streaming
Systems Integration
Tableau
Planning Software
Scripting (Bash/Python/Go/Ruby)
Office365
Large Language Models
Snowflake
Multi-Agent Systems
Event Driven Architecture
Data Lake
Amazon Web Services (AWS)
Kafka
GraphQL
Data Management
Api Design
Cloudwatch
Api Gateway
REST
Autodesk Autocad
Webhooks
GPT
Redshift
Databricks

Job description

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., 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.

Requirements

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, SharePoint
  • MS365 Suite
  • Procore, Autodesk, CMIC
  • Salesforce
  • FP&A Software's
  • HRIS/Payroll systems
  • Scheduling platforms
  • Estimating + Preconstruction systems
  • BIM and Fabrication systems/software's

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