Senior Technical Program Manager
Key Responsibilities:
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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Career Level - IC3
Key Responsibilities:
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.
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field.
8+ 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.
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field.
8+ years of technical program management experience leading large-scale enterprise programs.
Proven experience delivering complex cross-functional initiatives involving multiple engineering
organizations.
Confidential - Oracle Restricted
Confidential - Oracle Restricted
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.
Confidential - Oracle Restricted
Confidential - Oracle Restricted
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.
