Description

• Proven experience orchestrating large-scale technical programs by aligning architecture, engineering dependencies, and delivery across multiple teams and platforms.
• Strong technical fluency in distributed systems, APIs, enterprise integrations, and cloud-based platforms to effectively manage system complexity and technical trade-offs.
• Experience managing complex cross-team dependencies, technical risks, and integration challenges across enterprise systems.
• Ability to partner closely with engineering leaders, architects, and product managers to translate technical strategy into executable delivery plans.
• Skilled in driving program execution through clear milestones, dependency mapping, and risk mitigation strategies.
• Strong analytical and problem-solving capabilities with experience using program metrics, delivery dashboards, and data insights to support decision-making.
• Excellent stakeholder management and communication skills with the ability to explain complex technical programs to both engineering teams and executive leadership.
• Hands-on proficiency with core program delivery tools including Jira, Confluence, and Lucid.
• Demonstrated proficiency and daily hands-on use of AI productivity tools to accelerate program delivery, including LLM-based assistants (e.g., Claude, OpenAI/ChatGPT) and AI agents embedded in the Atlassian suite (e.g., Atlassian Rovo for Jira/Confluence), as well as Microsoft Copilot. Able to apply these tools for automated status and dashboard reporting, backlog and Jira setup automation, meeting/documentation summarization, and AI-assisted risk, dependency, and data analysis.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or related technical field.
• 8+ years’ experience delivering large-scale technology programs across multiple engineering teams.
• Technical background in software engineering, systems architecture, or infrastructure platforms

Key Skills

Education

Bachelor's degree