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About the Role

The Director of AI & Data Platforms is responsible for leading the enterprise strategy, architecture, engineering, and operations of TRS’s artificial intelligence and data platforms. This role owns the shared AI and data foundations that enable scalable, secure, and compliant analytics and AI capabilities across the organization, ensuring platform capabilities, governance enforcement, and architecture standards are consistently applied to support business-driven data delivery and AI initiatives. This is a key member of IT leadership and serves as the enterprise point of accountability for AI and data platform execution.

Responsibilities

Builds and leads a high-performing team of platform engineers, architects, AI engineers, and governance specialists.
Develops workforce capabilities in AI and data platform engineering.
Partners with IT leadership on organizational strategy and staffing growth.
Directs department staff, including hiring, directing, monitoring, evaluating, and motivating staff.
Establishes clear career paths and role specialization within AI and data platform domains.
Provides direction, monitors team work loads and work processes, and takes corrective actions to ensure operations are covered and goals are met.
Ensures compliance with applicable federal, state, agency, and department policies, procedures, rules, and regulations.
Assesses training needs of team members and arranges for or provides training, coaching, and technical assistance.
Serves as the enabling technology partner for Data Delivery and LOB teams.
Provides “paved roads” for AI and data delivery teams.
Supports developer experience, onboarding, and platform adoption.
Reduces duplication and tool sprawl across the enterprise.
Partners closely with Enterprise Technology Services to achieve enablement goals.
Defines and executes the strategy for enterprise AI and data platforms (e.g., Fabric, Databricks, Azure AI services).
Oversees platform architecture, engineering, and lifecycle management.
Ensures scalability, reliability, performance, and cost optimization (FinOps).
Establishes and maintains enterprise AI and data platform architecture standards.
Ensures the platform provides the infrastructure and tooling to support AI-ready data patterns (e.g., semantic layers, RAG, data integration patterns).
Drives consistency in interoperability and platform alignment.
Owns platform architecture across the AI and data estate; sets architectural direction for how AI capabilities are built, deployed, and governed on shared infrastructure.
Owns enterprise data governance tooling and enforcement mechanisms, including data catalog (Purview or equivalent), data classification and sensitivity labeling, access controls and policy enforcement.
Ensures governance is implemented through platform capabilities, not manual processes.
Partners with enterprise governance bodies to align policy with technical enforcement.
Leads platform operations including monitoring, incident management, and reliability.
Owns environment strategy (sandbox, development, testing, production).
Establishes DevOps practices including CI/CD, version control, and deployment standards.
Ensures secure, compliant, and auditable platform usage.
Leads development of reusable AI capabilities (e.g., agents, copilots, orchestration frameworks).
Supports AI experimentation, R&D, and transition to production-ready capabilities.
Delivers shared services and patterns that enable downstream delivery teams.
Performs related work as assigned.

Requirements

Bachelor’s degree from an accredited college or university in Computer Science, Information Systems, Engineering, or a closely related field.
High school diploma or equivalent and additional full-time experience in data platforms, cloud architecture, IT enterprise or related experience may be substituted on an equivalent year-for-year basis.
Eight (8) years of full-time directly related, progressively responsible experience in data platforms, cloud architecture, IT enterprise or related experience.
Four (4) years of experience leading, or supervising the work of others, required.
Experience with enterprise AI platforms and agentic frameworks (e.g., Azure AI Foundry, Azure OpenAI Service, Copilot Studio, Databricks Model Serving).
Experience in enterprise AI adoption practices through agentic frameworks (LangChain, Semantic Kernel/Microsoft Agent Framework, Azure AI Agent Service), RAG pipeline design, MCP integrations, prompt engineering and responsible AI frameworks, AI guardrails and content safety.
A master's degree or doctoral degree in a closely related field may be substituted on an equivalent year-for-year basis.
Veterans, Reservists or Guardsmen with experience in the Military Occupational Specialty along with the minimum qualifications listed above may meet the minimum requirements.

Skills

Data governance, security, and compliance frameworks.
Modern data platforms (e.g., Databricks, Azure, Fabric, Snowflake).
People leadership in the data platform, data engineering and data operations space.
A diverse base of knowledge that allows you to help your team solve complex technical problems.
The principles, practices, and techniques of computer programming and systems analysis and design; all phases of software development and project management; and computing standards and development methodologies, including Systems Development Life Cycle methodologies.
Varying technological architectures, security, and technology trends.
Agency computing standards, security, and development methodologies.
Leading large-scale data and AI platform initiatives
Multi-agent orchestration patterns (sequential, concurrent, handoff) and agent governance/observability tooling.
Leading analytics project teams; and organizing, managing, and motivating staff to meet project goals and objectives.
Analyzing problems and devising innovative and effective solutions, including collecting and analyzing complex data, evaluating information and business processes, and drawing logical conclusions.
Designing complex computer programs.
Project planning and management; planning, organizing, and coordinating work assignments to effectively meet frequent and/or multiple deadlines; handling multiple tasks simultaneously; and managing conflicting priorities and demands.
Communicating complex technical information to people of varying technical backgrounds.

Location

TRS Headquarters Building 2
1900 Aldrich Street
Austin, Texas, 78723
United States

Work Type

Unclassified Regular Full-Time (URF)

Experience Level

Eight (8) years of full-time directly related, progressively responsible experience in data platforms, cloud architecture, IT enterprise or related experience.
Four (4) years of experience leading, or supervising the work of others, required.

Education Level

Bachelor’s degree from an accredited college or university in Computer Science, Information Systems, Engineering, or a closely related field.
High school diploma or equivalent and additional full-time experience in data platforms, cloud architecture, IT enterprise or related experience may be substituted on an equivalent year-for-year basis.
A master's degree or doctoral degree in a closely related field may be substituted on an equivalent year-for-year basis.

Salary/Compensations

Depends on Qualification

About the Company

The Information Technology (IT) Division lays the foundation for TRS to deliver excellent service experiences across the organization and with our members.
We serve with purpose through mentorship and collaboration across a broad variety of teams unified by innovation to create technology and information solutions that have a positive impact on our members’ lives.
We invite you to join one of Austin’s Top Workplaces.
TRS offers a best-in-class combination of technology and continuous learning opportunities to equip you to solve problems, expand your knowledge, and create impact for 1 in 20 Texans.