AI Technical Program Manager

TalentOla; Saint Paul (MN); Hybrid; USD 120,000 - 160,000; Full time

Job summary

TalentOla in Edina, MN seeks an experienced AI Technical Program Manager to lead enterprise tech programs spanning engineering, AI, data, product, and architecture, ensuring strategic alignment and on-time delivery. You will drive governance, roadmap execution, risk management, and executive updates while partnering with leaders to translate strategy into coordinated initiatives across domains.

The role emphasizes responsible AI practices, collaboration across the Office of the CTO, and scaling

Qualifications

• Proven experience leading complex technology programs across engineering, data, AI, platform or product domains.
• Strong governance, roadmap planning, milestone tracking and risk management skills.
• Ability to influence alignments in a matrix environment.
• Experience delivering executive-ready status updates is preferred.

Responsibilities

• Lead execution and coordination of engineering initiatives supporting the Intelligence Platform domain.
• Partner with engineering, product, and business leaders to translate priorities into coordinated programs.
• Drive program planning, milestone tracking, and cross-team coordination across multiple domains.
• Identify and manage dependencies across teams to support successful delivery.
• Establish governance, including roadmap alignment, progress reporting, and issue resolution.
• Coordinate data platforms, analytics capabilities, and AI-enabled technologies within programs.
• Support responsible AI governance and alignment when AI is incorporated.
• Provide executive-ready updates and visibility into program status.

Skills

Program management

Stakeholder alignment

Cross-functional leadership

AI/ML familiarity

Executive communication

Ambiguity navigation

Tech strategy

Job description

We are looking for an experienced AI Technical Program Manager to manage and drive complex enterprise technology programs across engineering, AI, data, product, and architecture teams, ensuring strategic alignment, governance, cross-functional collaboration, and successful delivery of Intelligence Platform initiatives.

Edina, MN (Hybrid – 3 days’ Work from Office)

Responsibilities:

• Lead execution and coordination of engineering initiatives supporting the Intelligence Platform technology domain.
• Partner with engineering, product, and business leaders to translate strategic priorities into coordinated technology programs.
• Drive program planning, milestone tracking, and cross-team coordination across engineering, infrastructure/cloud operations, architecture, data architecture, AI, and platform teams.
• Identify and manage dependencies across engineering, corporate IT, product development, and R&D to support successful delivery.
• Establish program governance, including roadmap alignment, progress reporting, risk tracking, and issue resolution.
• Coordinate technical workstreams involving data platforms, analytics capabilities, and AI-enabled technologies.
• Support responsible AI governance and alignment when AI capabilities are incorporated into technology initiatives.
• Provide clear visibility into program status through client communication and executive-ready updates.
• Facilitate collaboration across product, engineering, architecture, and business teams to remove blockers and drive delivery.
• Contribute to the evolution and scaling of the Office of the CTO’s technology program management practice.

Qualifications:

• Experience leading complex technology programs across engineering, data, AI, platform, or product teams required.
• Strong program management skills, including roadmap planning, milestone tracking, governance, and risk management required.
• Experience managing multiple complex technical programs or engineering initiatives simultaneously required.
• Ability to influence alignment across technical and business teams in a matrixed environment required.
• Familiarity with AI and machine learning technologies, including generative AI and responsible AI practices, preferred.
• Demonstrated ability to operate effectively in ambiguous, fast-moving environments while managing multiple priorities highly preferred.
• Excellent written and verbal communication skills, including experience preparing executive-ready updates.
• Strong analytical, organizational, and problem-solving skills.
• Knowledge of emerging technologies, including AI-enabled and data-driven solutions, preferred.
• Healthcare, supply chain, or spend management experience preferred.