Senior Technical Delivery Manager/Leader
⚲ Kraków, Warzawa, Łódź, Wrocław
Do uzgodnienia
Wymagania
- AI
- Software Engineering
Opis stanowiska
Join Intellias and help shape the future of software delivery.
We are looking for an experienced Senior Technical Delivery Manager to lead complex software engineering initiatives and drive the transformation of delivery organizations toward modern, AI-powered Managed Delivery models.
This role combines technical leadership, delivery management, engineering excellence, and organizational transformation. You will work closely with engineering leaders, customers, and cross-functional teams to build scalable delivery processes, improve engineering productivity, and enable the adoption of AI-powered development practices.
If you have a strong software engineering background, experience leading distributed teams, and a passion for driving innovation, we'd love to hear from you.
What You'll Do
• Lead software delivery across multiple engineering teams and programs.
• Drive the transformation from traditional outstaffing engagements to AI-enabled Managed Delivery models.
• Establish and continuously improve delivery governance, KPIs, and operational excellence.
• Partner with engineering leaders to improve delivery predictability, quality, and engineering productivity.
• Introduce and scale AI-powered software development practices across engineering teams.
• Define and monitor engineering metrics using GitHub, Azure DevOps, and SonarQube.
• Coach teams on modern engineering practices, DevOps, and AI-assisted development workflows.
• Lead Managed Delivery and Fixed Price projects from planning through execution.
• Manage delivery risks, dependencies, and customer escalations.
• Build, mentor, and develop high-performing engineering teams.
• Support presales activities, solution design, estimations, and delivery planning.
• Collaborate with customers and internal stakeholders to ensure successful project outcomes.
What You'll Bring
Required
• 10+ years of experience in software engineering and delivery management.
• Proven experience leading distributed engineering teams, including hiring, mentoring, performance management, and career development.
• Experience delivering Managed Delivery, Managed Services, or Fixed Price engagements.
• Experience supporting presales activities, solution planning, and estimations.
• Strong hands-on software engineering background.
• Previous experience as a Software Engineer, Technical Lead, Software Architect, or Engineering Manager.
• Experience with at least one of the following technologies:• Android
• iOS
• C#
• Angular
• Practical experience with:
• GitHub
• Azure DevOps
• SonarQube
• Strong understanding of SDLC, CI/CD, DevOps, and engineering productivity metrics.
• Hands-on experience implementing AI-powered development tools (e.g. GitHub Copilot, Claude, or similar).
• Experience driving engineering transformation and AI adoption initiatives.
• Excellent communication and stakeholder management skills.
Nice to Have
• Experience working on Healthcare projects or with Healthcare clients.
• Experience implementing Engineering Excellence or AI transformation programs at scale.
Why Join Intellias?
• Be part of a strategic initiative transforming software delivery with AI.
• Work with global engineering teams and enterprise customers.
• Influence delivery strategy, engineering excellence, and organizational transformation.
• Drive the adoption of cutting-edge AI-powered development practices.
• Enjoy a collaborative, international environment with opportunities for continuous professional growth.
We are looking for an experienced Senior Technical Delivery Manager to lead complex software engineering initiatives and drive the transformation of delivery organizations toward modern, AI-powered Managed Delivery models.
This role combines technical leadership, delivery management, engineering excellence, and organizational transformation. You will work closely with engineering leaders, customers, and cross-functional teams to build scalable delivery processes, improve engineering productivity, and enable the adoption of AI-powered development practices.
If you have a strong software engineering background, experience leading distributed teams, and a passion for driving innovation, we'd love to hear from you.
What You'll Do
• Lead software delivery across multiple engineering teams and programs.
• Drive the transformation from traditional outstaffing engagements to AI-enabled Managed Delivery models.
• Establish and continuously improve delivery governance, KPIs, and operational excellence.
• Partner with engineering leaders to improve delivery predictability, quality, and engineering productivity.
• Introduce and scale AI-powered software development practices across engineering teams.
• Define and monitor engineering metrics using GitHub, Azure DevOps, and SonarQube.
• Coach teams on modern engineering practices, DevOps, and AI-assisted development workflows.
• Lead Managed Delivery and Fixed Price projects from planning through execution.
• Manage delivery risks, dependencies, and customer escalations.
• Build, mentor, and develop high-performing engineering teams.
• Support presales activities, solution design, estimations, and delivery planning.
• Collaborate with customers and internal stakeholders to ensure successful project outcomes.
What You'll Bring
Required
• 10+ years of experience in software engineering and delivery management.
• Proven experience leading distributed engineering teams, including hiring, mentoring, performance management, and career development.
• Experience delivering Managed Delivery, Managed Services, or Fixed Price engagements.
• Experience supporting presales activities, solution planning, and estimations.
• Strong hands-on software engineering background.
• Previous experience as a Software Engineer, Technical Lead, Software Architect, or Engineering Manager.
• Experience with at least one of the following technologies:• Android
• iOS
• C#
• Angular
• Practical experience with:
• GitHub
• Azure DevOps
• SonarQube
• Strong understanding of SDLC, CI/CD, DevOps, and engineering productivity metrics.
• Hands-on experience implementing AI-powered development tools (e.g. GitHub Copilot, Claude, or similar).
• Experience driving engineering transformation and AI adoption initiatives.
• Excellent communication and stakeholder management skills.
Nice to Have
• Experience working on Healthcare projects or with Healthcare clients.
• Experience implementing Engineering Excellence or AI transformation programs at scale.
Why Join Intellias?
• Be part of a strategic initiative transforming software delivery with AI.
• Work with global engineering teams and enterprise customers.
• Influence delivery strategy, engineering excellence, and organizational transformation.
• Drive the adoption of cutting-edge AI-powered development practices.
• Enjoy a collaborative, international environment with opportunities for continuous professional growth.
🔍 Dekoder Ogłoszenia
🔴
drive the transformation of delivery organizations toward modern, AI-powered Managed Delivery models
Oczekuje się, że będziesz aktywnie wdrażać nowe, oparte na AI modele dostarczania oprogramowania, co może oznaczać znaczące zmiany w istniejących procesach i narzędziach.
🟡
AI-powered Managed Delivery models
Termin ten może sugerować wykorzystanie narzędzi AI do automatyzacji i optymalizacji procesów dostarczania, ale jego konkretne zastosowanie i dojrzałość mogą być zróżnicowane.
🟡
partner with engineering leaders to improve delivery predictability, quality, and engineering productivity
Twoja rola będzie polegać na współpracy z innymi liderami w celu osiągnięcia lepszych wyników, co może oznaczać konieczność zarządzania oczekiwaniami i rozwiązywania problemów między zespołami.
🔴
Introduce and scale AI-powered software development practices across engineering teams
Będziesz odpowiedzialny za wdrażanie i promowanie nowych praktyk związanych z AI w tworzeniu oprogramowania, co może wymagać szkoleń i przekonywania zespołów do nowych rozwiązań.
🔴
Lead Managed Delivery and Fixed Price projects
Obejmuje to zarządzanie projektami o ustalonym budżecie i terminie, co może wiązać się z presją na dotrzymanie zobowiązań i zarządzanie ryzykiem.