Director Technology and Innovation

The Director Technology and Innovation reports to the Chief Information Officer and is responsible for advancing the firms use of emerging technology data analytics automation and artificial intelligence. The Director partners with business practice and technology leaders to translate needs into a prioritized portfolio of practical scalable solutions that improve project delivery operational performance employee experience and client value. This role guides initiatives from discovery and business-case development through pilot implementation adoption governance and value measurement. The Director also helps strengthen the firms data and AI capabilities by coordinating internal resources external partners standards and responsible-use practices.

Technology Advancement Strategy and Roadmap

• Develop and maintain a technology advancement roadmap aligned with business priorities practice needs client expectations and the CIOs technology direction.
• Identify and assess emerging technologies and use cases based on business value feasibility risk scalability and organizational readiness.
• Prepare business cases recommendations success measures and portfolio updates for review by the CIO and other decision-makers.
• Monitor AEC and broader technology trends and recommend focused opportunities for evaluation or investment.

Data AI and Digital Innovation

• Provide program leadership for data analytics automation machine learning generative AI and related digital initiatives in partnership with technical and business stakeholders.
• Coordinate with data security infrastructure application and architecture resources to define solution requirements and delivery plans.
• Guide initiatives from discovery and proof of concept through pilot deployment operational handoff measurement and continuous improvement.
• Promote reusable supportable solutions that align with the firms enterprise architecture and technology standards.

Practice Enablement

• Build relationships with architecture engineering planning project management and market leaders to understand workflow challenges and technology opportunities.
• Translate practice needs into clear product data integration adoption and change-management requirements.
• Advance practical use cases such as knowledge and project archive search pre-design analysis code and compliance research product and material intelligence project-status reporting drawing and specification support and administrative automation.
• Ensure proposed solutions support professional judgment quality standards contractual commitments client requirements and risk-management practices.

Portfolio Adoption and Value Realization

• Manage a structured intake and prioritization process for technology data and AI opportunities.
• Coordinate initiative plans dependencies risks budgets resources adoption activities and measures of success.
• Partner with business owners to define expected outcomes monitor adoption and performance and document realized value.
• Provide clear progress reporting and recommendations to the CIO sponsors and governance groups.

Governance Risk and Responsible AI

• Partner with Information Technology Legal and business stakeholders to implement governance for emerging technology data and AI.
• Help establish and apply standards for data quality ownership stewardship access retention privacy model oversight acceptable use and human review.
• Coordinate governance for employee-enabled AI tools including evaluation procurement access integration data use security and ongoing oversight.
• Support protection of firm intellectual property project information client information and institutional knowledge.

Organizational and Team Leadership

• Build lead and develop a high-performing Data and AI team spanning data engineering AI/MLOps AEC solutions product management architecture data science and governance.
• Determine the appropriate mix of employees external specialists vendors and implementation partners; recruit specialized talent and upskill internal colleagues.
• Establish goals delivery expectations operating rhythms and measures for the function and ensure external knowledge is documented and retained.
• Promote data literacy responsible AI fluency collaboration experimentation accountability and disciplined execution across the firm.

Stakeholder Financial and Vendor Management

• Build strong partnerships with practice leaders project teams Finance Operations corporate functions clients and external technology partners.
• Facilitate decisions related to investments portfolio priorities data ownership platform standards governance and adoption.
• Lead vendor evaluation and management including expectations for performance security scalability service quality knowledge transfer and business value.
• Manage budgets and communicate the cost benefit risk and return associated with the data and AI portfolio.
• Build and maintain relationships across the company to foster trust and accountability.

Other Duties

• Perform other related duties as assigned.

• Bachelors degree in data science computer science information systems engineering architecture construction technology business or a related field.
• Progressive experience in technology advancement data artificial intelligence analytics digital transformation product management or a closely related function including experience leading complex cross-functional initiatives.
• Demonstrated experience developing roadmaps business cases implementation plans governance practices and measures of success for technology initiatives.
• Experience coordinating multidisciplinary teams consultants vendors implementation partners budgets and organizational change.
• Working knowledge of enterprise data environments analytics automation AI solutions systems integration security privacy and responsible technology use.
• Strong communication facilitation stakeholder-management problem-solving and change-management skills.
• An equivalent combination of education and experience may be considered in lieu of the requirements listed.

Preferred Education & Experience

• Advanced degree in a technology design engineering architecture or business discipline.
• Experience in the architecture engineering and construction industry with an understanding of AEC project delivery professional practice technology platforms and business processes.
• Familiarity with BIM GIS design technology project information management specifications visualization digital delivery ERP and AEC project-management workflows.
• Experience with cloud data platforms data lakehouse environments semantic models generative AI agentic workflows machine learning operations or intelligent automation.
• Experience integrating emerging technology with enterprise and AEC platforms.
• Familiarity with professional-services measures such as utilization project performance labor efficiency backlog revenue margin and return on investment.
• Experience supporting a technology innovation portfolio data office AI program digital practice function or center of excellence.
• Relevant technical cloud data AI architecture engineering product change-management or project-management credentials.

Desired Knowledge Skills Abilities & Behaviors

• Ability to translate business and AEC practice needs into clear technology priorities and executable plans.
• Strategic thinking paired with practical disciplined execution.
• Working knowledge of emerging technology enterprise data analytics automation and AI trends affecting the AEC industry.
• Business and financial acumen including evaluation of value cost feasibility risk and scalability.
• Program and portfolio management skills with accountability for scope resources dependencies adoption and outcomes.
• Change leadership that builds trust capability adoption and responsible experimentation.
• Ability to influence and align practice Technology Finance Operations Legal Security and executive stakeholders without relying solely on formal authority.
• Effective team partner and vendor leadership including knowledge-transfer and documentation expectations.
• Clear communication of complex technical concepts in practical business language.
• Commitment to professional judgment security governance privacy and client and firm confidentiality.

Physical Demands:

• Prolonged sitting
• Travel requirements: Occasional based on business need.

Work Environment:

• Standard office environment

Why join LEO A DALY

At LEO A DALY you will become part of a collaborative design culture and do work that matters. As an integrated design practice we believe that a diversity of perspectives generates better solutions. We trust and support each other ask hard questions and solve complex problems. Guided by a spirit of inquiry we design for people at every scale creating spaces that elevate individuals their communities and the institutions that serve them. Join LEO A DALY - help us transform the world.

LEO A DALY LLC is an Equal Opportunity Employer and gives consideration for employment to qualified applicants for employment without regard to race color religion age sex sexual orientation gender identity national origin disability or protected veteran status. LEO A DALY LLC is committed to ensuring equal employment opportunities including providing reasonable accommodations to individuals with a disability. Applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the Human Resources Department by phone at or by email at . For more information about your rights under the law see Know Your Rights.