[Agentic AI] Senior Technical Program Manager – AI Platform & IT Systems Software PMO

HP•Palo Alto, CA

11d

About The Position

The Commercial Systems Software Engineering organization is developing next-generation AI software platforms for intelligent, secure, and scalable experiences across client and edge computing environments. The Senior Technical Program Manager joins the Program Management Office to drive strategy, planning, governance, risk management, and execution across AI software initiatives focused on enterprise IT management, policy enforcement, security controls, and device governance. The role partners with software architects, engineering leaders, product teams, enterprise IT organizations, and external technology partners to ensure AI platform capabilities align with enterprise management requirements and operational controls. The successful candidate brings knowledge of AI and machine-learning technologies for client and edge devices, along with understanding of enterprise endpoint management, Intune, Windows management technologies, device policies, security controls, and enterprise deployment practices. Executive reporting and presentation experience are essential, as is the ability to turn complex technical, operational, and policy requirements into actionable plans and leadership recommendations. This role drives strategic AI software platform initiatives focused on enterprise manageability, policy controls, governance, and deployment readiness. It connects AI platform strategy, enterprise IT requirements, architecture, planning, and execution, while providing leadership with visibility and decision support for deploying AI capabilities securely and responsibly at scale. Programs span AI software, systems architecture, enterprise IT management, endpoint governance, security controls, compliance requirements, and ecosystem partnerships.

Requirements

Four-year or graduate degree in Computer Science, Engineering, Information Systems, Business Management, Cybersecurity, or a related discipline, or equivalent experience.
Typically 10+ years of experience in technical program management, platform delivery, enterprise software, IT management, or related disciplines.
Demonstrated experience managing complex software programs involving multiple engineering teams, products, organizations, and external partners.
Experience working with enterprise endpoint-management, device-management, security, or compliance programs.
Experience partnering with architects, engineering leaders, security teams, and enterprise IT organizations.
Experience working in highly matrixed and globally distributed environments.
Demonstrated experience presenting program status, risks, recommendations, and decisions to senior executives.
Working knowledge of AI and machine-learning concepts, AI runtimes, AI deployment models, and agentic AI architectures.
Understanding of AI deployment across client, edge, hybrid, and cloud environments.
Strong knowledge of enterprise endpoint management and device-governance frameworks.
Experience with Microsoft Intune, device-management policies, configuration management, compliance controls, and endpoint security practices.
Familiarity with Windows management technologies, device provisioning, policy deployment, application management, and enterprise lifecycle management.
Understanding of enterprise identity, security, compliance, privacy, and governance concepts.
Familiarity with software architecture, platform integration, APIs, telemetry, security controls, and modern software-development practices.
Ability to engage credibly in technical discussions and convert architecture and policy decisions into execution plans and deliverables.
Proven success leading complex technology programs involving software platforms, enterprise services, security requirements, and external dependencies.
Strong experience in integrated planning, roadmap management, milestone tracking, and governance.
Expertise managing risks, issues, decisions, assumptions, and cross-organizational dependencies.
Ability to manage multiple workstreams while maintaining an accurate view of overall program health.
Proven experience developing executive presentations, dashboards, decision materials, and leadership reviews.
Ability to communicate technical, operational, and policy-related complexity in terms of business impact and customer value.
Strong facilitation, communication, negotiation, and stakeholder-management skills.
Ability to influence outcomes and establish alignment without direct authority.

Nice To Haves

Experience supporting enterprise device-management, endpoint-management, security, compliance, or digital-workplace initiatives.
Experience with Microsoft Intune, Windows enterprise management, endpoint security, identity-management, or device-governance technologies.
Experience supporting AI governance, responsible AI, AI security, or enterprise AI deployment initiatives.
Experience coordinating programs involving operating-system vendors, cloud-service providers, enterprise software vendors, or device manufacturers.
Experience supporting architecture governance and enterprise technology strategy alignment.
PMP, PgMP, PMI-ACP, SAFe, CISSP, or comparable certifications.

Responsibilities

Translate AI platform strategy and enterprise management requirements into integrated program plans, milestones, roadmaps, and measurable outcomes.
Drive complex AI and systems software initiatives from architecture and planning through development, validation, and deployment.
Coordinate execution across architecture, engineering, security, IT, product management, and business organizations.
Establish program objectives, deliverables, dependencies, readiness criteria, and success metrics.
Manage technical, operational, security, compliance, and partner-related risks and dependencies.
Drive alignment across organizations toward common policy, governance, and deployment strategies.
Partner with enterprise IT organizations to define policy requirements for AI-enabled platforms and services.
Align AI platform capabilities with enterprise device-management, security, compliance, and governance frameworks.
Coordinate implementation plans for AI-related controls, management policies, deployment policies, and operational guardrails.
Work with Microsoft Intune, Windows management, endpoint security, compliance, and device-management stakeholders.
Ensure AI platform capabilities can be governed, deployed, configured, monitored, and managed in enterprise environments.
Facilitate discussions about policy enforcement, user and administrative controls, security boundaries, and data-protection requirements.
Track evolving enterprise AI management requirements and coordinate their integration into platform roadmaps.
Coordinate activities across software architecture, engineering, IT, security, compliance, support, and partner organizations.
Align platform services, enterprise-management capabilities, operating-system features, and security controls.
Manage dependencies involving ecosystem partners, operating-system vendors, device-management providers, and enterprise software vendors.
Coordinate architecture reviews, planning sessions, design reviews, and decision forums.
Create executive-ready dashboards, scorecards, program reviews, risk assessments, and decision-support materials.
Present program status, accomplishments, risks, dependencies, and recommendations to senior leaders.
Translate technical and policy-related topics into clear business implications and decision points.
Support governance reviews and executive forums that drive strategic decisions and cross-functional alignment.
Apply PMO frameworks, governance practices, and reporting standards to improve delivery predictability and execution excellence.