Top Technical Program Manager Jobs

Leads complex, cross-functional technology programs across global payments operations. Responsibilities include strategic planning, resource and budget management, risk mitigation, stakeholder alignment, process improvement, and delivery governance. Uses enterprise-authorized AI to support planning, dependency analysis, risk synthesis, and executive reporting while validating outputs and protecting sensitive data. Partners with risk, compliance, and control teams in regulated financial services environments.

Leads integration and delivery of safety-critical hardware-software systems for autonomous hauling machines. Manages program roadmaps, schedules, budgets, resources, risks, dependencies, KPIs, stakeholder communications, testing, integration, vendors, and customer demonstrations. Coordinates cross-functional teams, supports technical troubleshooting, mentors team members, and aligns execution with business and product goals. The role is onsite in Mossville, Illinois, with up to 10% travel.

Lead cross-functional technical programs spanning data center operations, supply chain, finance, and IT. Own integrated plans, dependencies, risks, delivery cadence, migrations, DCIM deployments, telemetry improvements, system integrations, testing, go-live readiness, and operational handoffs. Coordinate business owners, product, engineering, facilities, data teams, suppliers, and senior stakeholders to deliver reliable systems and scalable execution mechanisms across multiple sites.

Leads complex, cross-functional technical programs spanning cloud operations, build and deployment platforms, code management, CI/CD, data governance, and infrastructure cost management. Translates business goals into technical plans, manages dependencies and risks, coordinates architecture discussions, establishes operational metrics, and aligns engineering, finance, platform, and executive stakeholders through multi-quarter initiatives.

Own the Finance Technology team's Jira operating rhythm and serve as Scrum Master. Manage prioritization, capacity planning, dependencies, delivery reviews, retrospectives, impediment removal, and cross-functional programs involving planning, data products, and Finance applications. Provide leadership with delivery insights, risk assessments, resource recommendations, and workload planning while improving release readiness and handoffs.

Lead technical programs and software release strategies for Mastercard’s decision management platform. Plan schedules, milestones, change and risk management, and coordinate complex cross-functional projects. Provide technical guidance, oversee deliverables, communicate progress to stakeholders, and support Scrum practices. The role requires software development familiarity, strong leadership and communication skills, and experience with project management, software releases, Scrum, and tools such as JIRA and Confluence.

Leads complex technical programs, platform transformations, and cross-functional initiatives. Owns program execution frameworks, roadmaps, dependency mapping, risk escalation, governance, metrics, dashboards, and executive communications. Partners with engineering and product leaders on scalable, resilient, cloud-native platforms and coordinates stakeholders across business lines. Also helps expand the technical program management discipline through organizational guidance and mentoring.

Leads end-to-end delivery of hyperscale data center builds and capacity expansions. Owns program plans, schedules, requirements, risks, budgets, KPIs, and executive reporting while coordinating Engineering, Supply Chain, and Data Center Operations. Establishes scalable delivery processes and SLAs, resolves technical and logistical issues, and drives commissioned infrastructure from planning through operational handoff.

Leads strategic AI initiatives across semiconductor product and engineering organizations. Establishes program frameworks, manages timelines, dependencies, risks, and outcomes, aligns cross-functional teams, reports portfolio health to senior leadership, integrates AI requirements into product roadmaps, improves processes, and facilitates decision-making. Applies generative AI, LLMs, and agentic tools to enhance program workflows, reporting, and analysis.

Lead enterprise-wide delivery, governance, adoption, and investment planning for Liberty Mutual’s AI Backbone. Own the multi-year roadmap, coordinate cross-functional technology and business stakeholders, manage dependencies, vendors, risks, readiness standards, and executive communications. Drive adoption of shared AI capabilities across teams without direct authority, establish portfolio governance, support FinOps and value realization, engage architecture forums, and coach program leaders while guiding strategic decisions across evolving AI platforms and operating models.

Owns complex customer-facing technical programs from presales engagement through implementation and handoff. Coordinates account, product, engineering, test, services, and leadership teams; translates requirements into plans; manages intake, prioritization, risks, dependencies, reporting, escalations, and delivery commitments. The role requires influencing without authority in a matrixed environment, improving operational processes and tooling, and communicating program status to executive stakeholders.

Leads complex enterprise technology programs from planning through delivery, managing scope, timelines, budgets, resources, risks, governance, and stakeholder alignment. Partners with engineering, product, business, and vendor management teams to deliver strategic initiatives. Applies agile practices, analytical reasoning, executive reporting, and validated AI-assisted planning and risk synthesis to improve program outcomes.

Leads complex, cross-functional technical programs involving infrastructure delivery, governance, execution planning, dependencies, risks, and stakeholder alignment. Partners with engineering, product, Scrum, and delivery teams to manage roadmaps, improve processes, drive predictable outcomes, and communicate progress to senior leadership. The role requires technical understanding of infrastructure environments, executive communication, data-driven decision-making, and continuous improvement expertise.

Leads Liberty Mutual’s enterprise architecture program, overseeing modernization roadmaps, North Star Architecture, technical debt, governance, risks, vendors, change management, and executive communications. The role coordinates cross-functional architecture, product, and technology teams across portfolios and business units, driving strategic alignment, investment decisions, adoption, and continuous improvement. It requires extensive technical program management experience, enterprise initiative leadership, agile delivery expertise, and strong stakeholder influence.

Leads complex technology programs from planning through delivery, managing technical requirements, resources, budgets, risks, timelines, and cross-functional stakeholders. Applies agile practices, analytical reasoning, data-driven optimization, and AI-assisted program governance with human validation and data-sensitivity awareness. Collaborates with engineering, product, and business teams to align initiatives with organizational goals and improve delivery effectiveness.

Lead strategic planning and execution for tooling and factory automation programs supporting rocket manufacturing. Build team frameworks, productivity tools, and processes; coordinate cross-functional customers, people, scope, timelines, and communications; contribute to tooling and automation design initiatives; and establish impact metrics. The role requires program management experience, manufacturing knowledge, technical problem-solving, and the ability to develop scalable solutions across matrixed organizations.

Leads end-to-end technical security programs for Application Security and Platform Security, managing plans, milestones, dependencies, operational cadences, intake, resource alignment, risks, and executive reporting. Partners with software engineering, IT, GRC, cloud, platform, vendors, and assessors to deliver secure development, vulnerability management, cloud security, IAM, and infrastructure-hardening initiatives. The role also supports roadmap prioritization and may flex across other Security & Infrastructure programs.

Owns execution of vehicle-level autonomous machine programs, including scope, schedule, cost, quality, risk, roadmaps, integrated plans, NPI deliverables, and stakeholder reviews. Leads autonomy engineers and coordinates global engineering and cross-functional teams to translate customer and business needs into development plans and deliver production autonomous products.

Owns complex, cross-functional technical programs spanning multiple engineering teams and product domains. Drives planning cadences, multi-quarter platform initiatives, sequencing, milestones, dependencies, reporting, risk management, architectural tradeoffs, and executive communication. Partners with engineering, product, design, analytics, and go-to-market leaders to deliver scalable, reliable, multi-tenant SaaS capabilities and improve program execution across the business unit.

Owns fleet-wide reliability and operations programs for a large-scale AI cloud infrastructure environment. Establishes reliability metrics and dashboards, aligns engineering and operations teams on OKRs, identifies systemic infrastructure gaps, leads cross-functional improvement programs, manages dependencies and risks, and drives incident follow-up and corrective actions. Requires strong technical aptitude across compute, storage, networking, hardware, software, and SRE, plus experience managing programs in rapidly scaling cloud or infrastructure environments.

Leads complex technology programs from planning through delivery, managing technical requirements, resources, budgets, risks, vendors, and stakeholder alignment. Drives agile adoption, application resiliency, security, vulnerability management, identity and access management, data governance, compliance, and disaster recovery. Uses and validates enterprise-approved AI tools for program planning and reporting while ensuring data sensitivity and human oversight. Requires strong analytical, communication, leadership, and cross-functional influence skills.

Lead complex, cross-functional strategic initiatives from scoping through implementation, adoption, and stabilization. The initial focus is a Workday implementation, requiring coordination across business teams, technical specialists, senior stakeholders, and external partners. Responsibilities include defining outcomes and delivery plans, managing dependencies and risks, evaluating technical options, leading change adoption, coordinating testing and rollout, measuring value, and establishing sustainable ownership.

Leads complex technical infrastructure programs spanning data center build-outs, hardware deployment, capacity planning, and AI cloud infrastructure. Partners with Product, Engineering, supply chain, facilities, vendors, and networking teams to manage delivery, risks, dependencies, scope changes, and stakeholder communication. Builds scalable processes, coordinates off-site physical work, drives consensus, and improves program execution across global locations.

Lead complex global technology programs from planning through delivery, managing technical requirements, milestones, dependencies, resources, risks, governance, and stakeholder alignment. Collaborate with software development, quality assurance, and business teams to deliver measurable outcomes. Monitor progress, manage changes, provide executive updates, and ensure delivery assurance. Apply enterprise-authorized AI capabilities to accelerate planning and reporting while validating outputs and following data-sensitivity requirements.

Own technology portfolio planning, investment governance, executive reporting, data quality, risk controls, audit readiness, and process improvement. Partner with Engineering, Product, Finance, and business stakeholders to manage priorities, budgets, dependencies, and delivery health. Lead adoption and governance of AI-enabled and agentic workflows with human validation, traceability, security, and operational risk controls.