What are the responsibilities and job description for the Head of Data Architecture & AI position at TG Gallagher?
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, 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
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.