Senior Technical Program Manager

Baker Tilly•San Jose, CA

About The Position

Baker Tilly is seeking a Senior Technical Program Manager to lead the planning, coordination, and execution of complex AI technology programs across the firm's AI Product Group. The role establishes and manages an integrated delivery framework aligning product development, engineering, platform operations, global teams, and external partners to deliver AI-enabled solutions. It drives program execution, cross-functional dependency management, production readiness, launch requirements, and on-time delivery with measurable outcomes and clear accountability. As a foundational member of the AI Product Group, the Senior Technical Program Manager partners with senior technology leadership to oversee program governance, technical delivery milestones, vendor commitments, and operational transitions. The role calls for deep technical program management expertise, understanding of AI/ML development and deployment, exceptional written communication, and the ability to influence across complex organizations. The successful candidate will translate technical complexity into actionable plans, anticipate and resolve delivery risks, and establish scalable program management practices as the organization grows. The national pay rate range is $200,000–$350,000; the California pay rate range is also $200,000–$350,000. Actual compensation depends on factors including skills, prior experience, qualifications, degrees, certifications, work arrangements, and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees. Work location status should be discussed with a Baker Tilly talent acquisition professional.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
10+ years of progressive technical program management experience, including leadership of complex multi-team, multi-vendor technology initiatives and successful delivery of AI/ML solutions into production.
Experience leading large-scale technical programs with Director-level scope, including accountability for product launches, operational readiness, business outcomes, and delivery performance.
Expertise in program planning, cross-functional dependency management, milestone tracking, risk mitigation, resource coordination, and execution across engineering and product teams.
Strong understanding of AI/ML development and deployment lifecycles, including model dependencies, evaluation frameworks, data readiness, agentic AI systems, and production release requirements.
Ability to interpret technical architecture documentation, evaluate engineering estimates, and engage with senior engineers and architects on complex technical delivery challenges.
Experience establishing and managing production readiness reviews, technical acceptance criteria, stage-gate processes, and evidence-based launch decisions.
Experience managing external technology vendors, contractual delivery obligations, technical acceptance requirements, and multi-vendor integration programs.
Experience leading structured knowledge transfer, operational transition, and partner-to-internal-team capability development initiatives.
Proficiency in technical program management methodologies, tools, and reporting frameworks, including dependency mapping, delivery tracking, risk management, and executive-level performance reporting.
Experience using technical telemetry, engineering metrics, and delivery data to evaluate program health, validate progress, and support fact-based decisions.
Exceptional written and verbal communication skills, including executive-ready presentations, concise program updates, escalation memoranda, and actionable recommendations.
Strong stakeholder management, negotiation, and influencing skills, with the ability to drive accountability and results without direct reporting authority.
Experience working with globally distributed engineering teams, external partners, and enterprise stakeholders across time zones and organizational structures.
Success in fast-paced, evolving, or early-stage technology environments while establishing scalable processes within larger enterprise organizations.
Excellent analytical thinking, problem-solving, prioritization, and decision-making skills, including the ability to anticipate challenges, resolve ambiguity, and manage competing priorities.
Proficiency in using AI-assisted and agentic tools to improve program management efficiency, accelerate execution, and enhance delivery outcomes.
No professional certifications or licenses are required.

Nice To Haves

Advanced degree preferred.

Responsibilities

Lead integrated program execution across AI product management, engineering, platform operations, global delivery teams, and external partners, aligning priorities, timelines, deliverables, and business objectives.
Develop and maintain program plans, dependency maps, milestones, and schedules for platform development, data pipelines, vendor integrations, security reviews, and production deployments.
Establish and manage program governance, decision-making forums, escalation protocols, and delivery standards.
Coordinate and validate production readiness requirements, including engineering evaluations, performance evidence, platform telemetry, security reviews, and acceptance criteria.
Coordinate delivery with external partners and vendors, track contractual milestones, validate integration requirements, and ensure deliverables meet technical standards and acceptance criteria.
Manage partner-to-internal-team knowledge transfer and operational transition through defined shadowing, pairing, leadership, and ownership milestones.
Collaborate with engineering leaders, enterprise architects, product managers, and data platform teams to evaluate dependencies, challenge assumptions, assess estimates, and address delivery risks.
Create executive-level program updates, steering committee materials, quarterly business review presentations, escalation memoranda, and decision recommendations.
Coordinate U.S. and India engineering teams, enterprise technology, the Enterprise Transformation Office, People Solutions, and other stakeholders.
Build and improve program management tools, processes, reporting mechanisms, and operating cadences to support growth, efficiency, and consistent delivery.
Participate in special projects and perform other duties as assigned to advance the firm's AI strategy and business priorities.