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# Principal Technical Program Manager

- **Company:** Oracle
- **Location:** Albany, NY, United States
- **Salary:** $102,300.0 - $209,500.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Systems, Decision Support Systems, Distributed Systems, Machine Learning, Azure Machine Learning, Google Cloud, Cloud Platform System, Generative AI, Information Technology, Data Analytics, Cloud Migration, Oracle Cloud Infrastructure
- **Published:** August 6, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3342457267&tx=KR9191FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical

field.

 * 12+ years of technical program management experience leading large-scale enterprise

programs.

 * Proven experience delivering complex cross-functional initiatives involving multiple

engineering organizations.

 * Strong understanding of cloud architecture principles, distributed systems, infrastructure,

networking, security, and cloud operations.

 * Demonstrated experience driving cloud transformation, migration, modernization, or platform

initiatives.

 * Experience leveraging AI, automation, and generative AI technologies to improve operational

efficiency and business outcomes.

 * Exceptional written, verbal, and executive communication skills.
 * Strong stakeholder management skills with the ability to influence across all organizational

levels.

 * Demonstrated ability to use a data-driven approach to program management, leveraging

metrics, KPIs, operational insights, and analytics to drive decision-making.

 * Proven ability to influence without direct authority across highly matrixed organizations.
 * Demonstrated ability to anticipate risks, identify bottlenecks, and proactively drive mitigation

strategies.

 * Strong analytical, technical problem-solving, and decision-making capabilities.
 * Experience presenting to executive leadership and driving strategic alignment.

Preferred Qualifications

 * Master's degree in Computer Science, Engineering, Business Administration, or related field.
 * Experience with OCI, AWS, Azure, or Google Cloud.
 * Certifications in cloud architecture, program management, agile methodologies, or AI

technologies.

 * Experience leading enterprise-scale digital transformation programs.
 * Knowledge of AI/ML platforms, generative AI applications, and automation frameworks.
 * Experience working in highly matrixed global organizations.

Core Competencies

 * Strategic Thinking
 * Technical Leadership
 * Cloud Architecture Expertise
 * AI & Automation Enablement
 * Executive Presence
 * Program Execution Excellence
 * Cross-Functional Leadership
 * Stakeholder Influence
 * Influencing Without Authority
 * Data-Driven Decision Making
 * Metrics and KPI Management
 * Analytical Thinking
 * Risk Management
 * Technical Problem Solving
 * Change Management
 * Continuous Improvement

Success Metrics

 * Successful delivery of strategic cross-functional programs on schedule and within scope.
 * Measurable improvements in operational efficiency through AI and automation initiatives.
 * Reduced program risk through proactive identification and mitigation of bottlenecks.
 * Increased stakeholder satisfaction and organizational alignment.
 * Improved cloud platform adoption, reliability, scalability, and business outcomes.
 * Consistent executive confidence in program governance, reporting, and execution.

## Description

* Lead and deliver large, complex, cross-functional programs from concept through execution

and operationalization.

 * Define program strategy, scope, milestones, success metrics, and governance frameworks.
 * Drive alignment across engineering, product management, architecture, security, operations,

and executive leadership teams.

 * Manage interdependencies across multiple workstreams, ensuring timely execution and

delivery.

 * Partner with engineering and architecture teams to drive cloud transformation initiatives and

modernization programs.

 * Facilitate technical decision-making and architecture reviews to ensure scalable, resilient, and

cost-effective solutions.

 * Identify opportunities to leverage AI, machine learning, automation, and generative AI

technologies to improve operational efficiency and productivity.

 * Build strong relationships across all levels of the organization, including executives, technical

leaders, business stakeholders, and external partners.

 * Influence decision-making across engineering, product, operations, and executive leadership

teams without direct reporting authority.

 * Anticipate bottlenecks, dependencies, resource constraints, and organizational challenges

before they impact program outcomes.

 * Lead resolution of complex technical and organizational issues.
 * Establish and monitor program metrics, KPIs, and operational dashboards to measure

progress, identify trends, and drive informed decision-making.

 * Utilize quantitative and qualitative data to assess risks, optimize resource allocation, prioritize

initiatives, and improve program outcomes.

 * Drive a culture of accountability and continuous improvement through measurement,

reporting, and actionable insights.


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