Principal Technical Program Manager

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The ideal candidate is a proactive problem solver who can anticipate risks, remove obstacles before they impact delivery, and leverage emerging AI technologies to drive efficiency, productivity, and business outcomes  successful candidate will demonstrate a strong data-driven mindset, using metrics and insights to guide decisions, and possess exceptional ability to influence without authority, driving alignment and execution across diverse stakeholder groups in a highly matrixed environment.

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 work streams, 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.
• 10+ 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…