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About the Role

The Head of Investment AI Strategy serves as the Investment Management Division’s senior business leader for artificial intelligence, leading a small team to identify, prioritize, and advance high-value AI opportunities and use cases. This role partners across business, technology, data, security, legal, compliance, and risk functions to advance enterprise AI Strategy and governance. The incumbent translates investment-domain needs into actionable business cases, supports business leaders with adoption and sustainability of AI solutions, and builds AI literacy. The position proactively works with internal and external stakeholders to advance AI priorities, ultimately advancing the responsible use of AI across the division to help staff make better decisions, increase productivity, and improve business outcomes.

Responsibilities

Identifies and evaluates AI capabilities against business needs and advances recommendations through appropriate review processes.
Serves as business product owner for approved AI initiatives.
Partners with risk, compliance, data, and security teams to embed responsible AI requirements into use cases and delivery plans.
Translates enterprise KPIs into initiative-level success measures and reports outcomes to leadership.
Drives adoption and operationalization of approved AI tools and platforms, partnering with investment teams to address critical needs and reduce bottlenecks.
Identifies and escalates AI-related risks through established processes and communicates status transparently to senior leadership.
Represents the division on AI-related governance, contributing investment-domain expertise to enterprise AI strategy, roadmap development, and policy.
Advances division priorities through established governance processes, helping resolve technical and security questions early.
Advises on and adheres to enterprise technical standards, responsible AI practices, and AI policies.
Manages stakeholder expectations regarding approval timelines, resource capacity, and the approved technology catalog.
Develops a broad network with peer organizations and external managers, and shares applicable insights with the enterprise AI community.
Collaborates with leadership to support governance, strategic planning, and organizational performance.
Provides recommendations, reports, analysis, and presentations to support executive and Board decision-making.
Develops and drives the AI use case portfolio and business priorities, ensuring they are reflected in the enterprise AI roadmap.
Monitors emerging AI technologies relevant to investment management and partners across the organization to evaluate promising capabilities.
Collaborates with leadership, investment teams, and AI Champions to advance adoption, build organizational capability, and support strategic objectives.
Leads and develops a small AI team, setting priorities, allocating work, coaching performance, and coordinating delivery.
Partners with enterprise partners to expand AI training, tools, and responsible AI guidance across the division and develop investment-specific use case examples.

Requirements

Bachelor’s degree from an accredited college or university in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, Mathematics, Statistics, Economics, Finance, or a closely related field.
High school diploma or equivalent and additional full-time experience working with artificial intelligence, machine learning, technology strategy, or related experience may be substituted on an equivalent year-for-year basis.
Seven (7) - Eight (8) years of full-time directly related, progressively responsible experience working with artificial intelligence, machine learning, data and analytics, digital transformation, technology strategy, product management, investment management, investment operations, or related work, including demonstrated responsibility for enterprise-scale initiatives and measurable business outcomes.
Three (3) - Four (4) years of experience leading multidisciplinary teams, programs, products, or the work of others, including leadership across matrixed business and technology functions.
Three (3) - Four (4) years of experience leading, or supervising the work of others.
Experience may be concurrent.
A master's degree or doctoral degree in a closely related field may be substituted on an equivalent year-for-year basis.
Bachelor’s degree from an accredited college or university in Computer Science, Engineering, Data Science, or a closely related field.
Ten (10) years of full-time experience leading the evaluation, deployment, governance, and business application of AI technologies and platforms in large, matrixed organizations, including collaboration with data science, engineering, product, investment management, investment operations, and business teams to deliver AI-enabled solutions.
Experience operating within a centralized technology governance model in a regulated or public sector environment, including advancing business technology needs through formal review, risk assessment, and procurement processes.
Experience in investment management, asset management, financial services, public pensions, or another highly regulated and risk-managed environment.
Professional certifications in artificial intelligence, machine learning, data science, AI governance, Responsible AI, cloud-based AI platforms, or related disciplines.

Skills

AI technologies, advanced analytics, and their practical business applications.
AI strategy, tool selection, deployment, and lifecycle management in large, matrixed organizations.
Data, engineering, and product, and technology involved in delivering scalable AI solutions.
Investment management concepts and workflows, including research, portfolio management, risk, trading, private markets, and investment operations.
Strategic planning, organizational leadership, and management principles.
Responsible AI, information security, governance, compliance, and risk management principles.
Strategic planning, stakeholder engagement, and executive and Board communication.
Partnering with investment and business leaders to identify and advance AI solutions that support organizational objectives.
Translating business needs into clear business cases, requirements and measurable outcomes.
Developing and executing strategic initiatives in complex, technology-driven environments.
Leading multidisciplinary teams and complex initiatives across business and technology functions.
Evaluating emerging technologies and industry practices and determining their relevance to the business.
Analyzing complex issues, exercising sound judgement, and developing actionable recommendations.
Leading and developing teams while managing multiple priorities and driving results.
Develop and execute strategic initiatives that support business goals.
Deliver AI solutions that improve investment insights, decision quality, productivity, risk management, and operational outcomes.
Translate strategic priorities into operational results and measurable business value.
Evaluate AI technologies and determine appropriate business applications.
Navigate enterprise governance and build consensus across business, technology, risk, and other stakeholders.
Present complex concepts and recommendations clearly to executive leadership, boards, and diverse stakeholders.
Build effective partnerships and influence decision-making across business and technology functions.
Exercise sound judgment and appropriately address technology, information security, and AI-related risks.
Influence, develop, and lead high-performing multidisciplinary teams, including matrixed partners and vendors.
Promote innovation, accountability, and continuous improvement.

Location

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

Work Type

Unclassified Regular Full-Time (URF)

Experience Level

Seven (7) - Eight (8) years of full-time directly related, progressively responsible experience
Three (3) - Four (4) years of experience leading multidisciplinary teams, programs, products, or the work of others
Three (3) - Four (4) years of experience leading, or supervising the work of others
Ten (10) years of full-time experience leading the evaluation, deployment, governance, and business application of AI technologies and platforms

Education Level

Bachelor’s degree from an accredited college or university in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, Mathematics, Statistics, Economics, Finance, or a closely related field.
High school diploma or equivalent and additional full-time experience working with artificial intelligence, machine learning, technology strategy, 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.
Bachelor’s degree from an accredited college or university in Computer Science, Engineering, Data Science, or a closely related field.

Salary/Compensations

Depends on Qualification

About the Company

With the Investment Management Division (IMD) you will be joining a diverse group of achievers who celebrate the unique value individuals bring to support our shared cause: earning trust and contributing to the financial future of 2 million public education employees and retirees throughout Texas.
Navigating the current market environment takes innovation and we’re passionate about stewarding the right investments to make an impact both in the lives of our members and all Texans.
We invite you to partner with the best financial minds in the business to manage a global portfolio of over $200 billion in public and private investments.
Our success starts with you.