Company Description:
About Sutherland
Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Job Description:
We're looking for a highly driven Technical Project Manager who can bridge the gap between business, engineering, architecture, and delivery. This role is ideal for someone who understands software development, cloud platforms, AI/GenAI solutions, and modern engineering practices while leading complex technical programs from inception to production.
As a Technical Project Manager within the PSG PMO, you will drive cross-functional technology initiatives, manage engineering teams, coordinate architecture decisions, and ensure successful delivery of enterprise-grade digital transformation programs.
Key Responsibilities
Technical Program Delivery
- Lead multiple complex technical programs across application development, cloud, AI/GenAI, automation, and platform engineering.
- Own end-to-end project execution including planning, estimation, execution, deployment, and hypercare.
- Collaborate with Engineering Managers, Architects, Product Owners, and Business Stakeholders to define technical roadmaps and delivery plans.
- Drive technical solution discussions and ensure alignment between business requirements and engineering implementation.
- Manage project scope, schedule, budget, quality, dependencies, and release planning.
Engineering & Delivery Management
- Coordinate cross-functional engineering teams including Backend, Frontend, QA, DevOps, Data Engineering, AI/ML, and Infrastructure.
- Facilitate Agile ceremonies including Sprint Planning, Daily Stand-ups, Reviews, Retrospectives, and Release Planning.
- Track development progress using Jira, Confluence, Azure DevOps, or similar project management tools.
- Ensure engineering teams follow SDLC best practices, coding standards, CI/CD, and release governance.
- Work closely with DevOps teams to manage deployments, environment readiness, and production releases.
Technical Leadership
- Understand system architecture, APIs, microservices, cloud infrastructure, integrations, databases, and security considerations.
- Identify technical dependencies, integration risks, and architectural constraints early in the project lifecycle.
- Facilitate technical decision-making by coordinating discussions between architects and engineering teams.
- Drive adoption of Agile, DevSecOps, automation, and engineering best practices.
Stakeholder & Governance
- Build trusted relationships with customers, senior leadership, engineering teams, and external vendors.
- Present technical project status, risks, milestones, KPIs, and executive dashboards to leadership.
- Manage RAID logs, governance meetings, steering committees, and executive reviews.
- Escalate issues proactively and drive timely resolution.
Risk & Quality Management
- Proactively identify technical and delivery risks and implement mitigation strategies.
- Ensure adherence to security, compliance, quality standards, and organizational governance.
- Monitor project health using metrics such as Sprint Velocity, Burn-down, Release Readiness, Defect Leakage, and Delivery KPIs.
Qualifications:
Required Skills & Experience
Experience
- 8–12+ years of experience managing enterprise software development and digital transformation programs.
- Proven experience delivering cloud-native, enterprise application, AI/GenAI, automation, or platform engineering projects.
- Strong understanding of Agile software development lifecycle and modern engineering practices.
Technical Knowledge
- Good understanding of:
- Cloud Platforms (Azure/AWS/GCP)
- REST APIs & System Integrations
- Microservices Architecture
- CI/CD Pipelines
- DevOps Practices
- Databases (SQL/NoSQL)
- Application Security Fundamentals
- AI/GenAI Solution Delivery (Preferred)
Project Management
- Strong expertise in Agile (Scrum/Kanban) with the ability to manage hybrid and Waterfall delivery models when required.
- Hands-on experience with Jira, Confluence, Azure DevOps, Microsoft Project, and collaboration tools.
- Experience managing distributed and cross-functional engineering teams.
Leadership & Communication
- Exceptional stakeholder management and executive communication skills.
- Strong analytical, problem-solving, negotiation, and decision-making abilities.
- Ability to manage multiple concurrent technical programs in a fast-paced environment.
Preferred Certifications
- PMP or PRINCE2
- Certified Scrum Master (CSM) / Professional Scrum Master (PSM)
- SAFe Agilist (Preferred)
- Microsoft Azure Fundamentals / AWS Cloud Practitioner (Preferred)
What Success Looks Like
- Deliver complex technical programs on time, within scope, and within budget.
- Enable engineering teams to deliver high-quality software with predictable outcomes.
- Improve delivery efficiency, release quality, and stakeholder satisfaction.
- Drive technical governance, engineering excellence, and continuous process improvement.
- Become a trusted partner to engineering leadership and business stakeholders in delivering strategic technology initiatives.
