Senior Technical Program Manager-AI

CaptionCall by Sorenson • Salt Lake City, UT

7h

About The Position

The Senior Technical Program Manager-AI is a hands-on delivery role responsible for driving the day-to-day execution of AI initiatives from pilot through production adoption. Working from within the AICOE (AI Center of Excellence), this individual ensures initiatives progress efficiently through planning, governance, delivery, and adoption while maintaining alignment across business, technology, data, and security stakeholders.

This role focuses on execution rather than strategy. The AI Program Manager translates defined priorities into coordinated action, removes delivery friction, and ensures AI initiatives move forward at pace while meeting governance and operational requirements.

Requirements

• Minimum 4 Year / Bachelors Degree In Software Engineering, Computer Science, or a related field.
• 8 Years leading complex programs in product-driven technology organizations.
• Strong program or project management capability in cross-functional environments
• Experience coordinating technical and business stakeholders simultaneously
• Ability to manage ambiguity and drive execution in evolving environments
• Strong organizational and communication skills
• Experience operating within Confluence & Jira
• Proven ability to influence without authority across senior technical and business leaders
• Professional attitude and ability to work across company departments and teams

Nice To Haves

• Exposure to AI, data, analytics, or automation initiatives
• Experience working in Agile or hybrid delivery environments
• Familiarity with governance-heavy or regulated environments
• Experience supporting organizational change or technology adoption initiatives

Responsibilities

• Drive AI initiative prioritization and in-take processes to ensure they are aligned to business initiatives.
• Manage execution of AI pilots and transformation initiatives across multiple business domains.
• Coordinate delivery activities from opportunity intake through deployment and early adoption.
• Maintain delivery plans, milestones, dependencies, and risk tracking.
• Ensure initiatives progress from experimentation into operational deployment.
• Act as the primary day-to-day coordinator between business teams, engineering, data, architecture, security, and external partners.
• Ensure approved architectural patterns and SDLC controls and checkpoints are passed for AI initiatives.
• Coordinate with data governance and data engineering teams to ensure approved datasets and data-access controls are completed prior to pilot execution.
• Coordinate with compliance team to ensure approval of AI tools and LLM providers in accordance with security requirements.
• Escalate risks and blockers proactively to AICOE leadership.
• Support mobilization of new AI pilots, including onboarding teams, defining workflows, and establishing delivery structure.
• Help operationalize and scale pilots defined by AICOE leadership by tracking readiness criteria, ensuring pilots meet defined thresholds before progressing to production deployment.
• Coordinate readiness activities across governance, data access, and tooling enablement.
• Capture lessons learned and contribute to reusable delivery playbooks.
• Ensure initiatives follow approved AI governance, security, and compliance processes.
• Coordinate approvals, documentation, and audit readiness activities.
• Track adherence to guardrails and approved tool usage.
• Support integration of AI solutions into existing operational processes.
• Support business teams during rollout and early adoption phases.
• Coordinate training, communications, and enablement activities.
• Track adoption indicators and identify barriers to usage.
• Work with stakeholders to embed AI solutions into day-to-day workflows.
• Coordinate escalation workflow for AI-related incidents or governance breaches to ensure issues are documented and resolved through established risk management processes.
• Working within our Delivery COE guidelines, maintain clear reporting on initiative progress, risks, and outcomes.
• Track delivery metrics including time-to-deployment and adoption progress.
• Validate EBITDA hypothesis for all approved AI initiatives working with finance to track and validate ROI and EBITDA impact.
• Lead development of standard AI delivery playbooks and repeatable patterns for AI initiatives and provide structured updates to AICOE leadership and program governance forums
• Other duties as assigned.

Benefits

• Paid Vacation Time and Paid Sick Time and Paid Holidays
• 401k 6% match with immediate vesting
• Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision)
• TeleDoc
• HSA company match
• 3 Medical plan options including a Low Deductible PPO Medical Plan Offering
• Employee Assistance Program
• Engaged Employee Resource Groups
• Outstanding Learning and Career Development Opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level