Delivery Principal

Key Responsibilities

• Act as a senior delivery leader and trusted advisor for complex client engagements.
• Build credibility quickly with executive and technical stakeholders.
• Communicate technical concepts in clear, business-aligned language.
• Support new business development by contributing delivery leadership and technical confidence during pre-sales and early engagements.
• Research client domains and technology stacks to rapidly become a subject-matter expert.
• Own delivery outcomes across active engagements.
• Proactively assess project health and identify delivery risk.
• Step into challenged engagements to diagnose issues and drive recovery.
• Ensure teams are staffed appropriately and operating effectively.
• Establish delivery practices that promote predictability, transparency, and quality.
• Build, launch, and lead high-performing delivery teams.
• Evaluate team effectiveness and adjust structure or leadership as needed.
• Mentor engineers and delivery leaders to raise technical and execution standards.
• Invest approximately 60% of time in strategic enablement, coaching, and team development.
• Hands-on Technical Contribution:
• Maintain active technical credibility through direct contribution when required.
• Be comfortable contributing to codebases, architecture decisions, and technical problem-solving.
• Use hands-on execution to earn trust and unblock teams.
• Allocate approximately 40% of time to hands-on technical or architecturally involved work as delivery needs demand.

Technical & Consulting Skills

• Broad software engineering fluency across modern web and cloud technologies.
• Comfortable discussing front-end (React, TypeScript, responsive design) and back-end concepts (REST APIs, microservices, JVM stacks like Java/Spring, Node, Ruby, etc.) in ways stakeholders understand.
• Adept at diagnosis and remediation of delivery issues across architectural, team, and process dimensions.
• Experienced with agile delivery frameworks and practices (TDD, iteration planning, continuous integration/delivery, etc.) and able to coach teams toward improved maturity.
• Cloud (AWS, GCP, or Azure) and database fundamentals, with ability to partner with engineers to design solutions that meet non-functional requirements.
• Hands-on experience applying AI and machine learning capabilities in production systems, including leveraging modern AI/GenAI tools to improve product functionality, delivery efficiency, or developer productivity.

Ideal Background

• 10+ years of experience in software delivery or consulting environments.
• Proven success leading client-facing delivery for complex engagements.
• Demonstrated ability to balance strategy, people leadership, and hands-on execution.
• Strong consulting mindset with deep technical roots.