Senior Delivery Manager

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

We are seeking an experienced and passionate Delivery Manager with a strong Agile and Scrum

background to lead the successful delivery of customer-facing technology programs across cloud, data,

AI, analytics, and application development initiatives.

This role is best suited for professionals who began their careers as Software Engineers, Technical

Leads, Solution Architects, or Engineering Leads and have successfully progressed into Delivery

Management and Agile Leadership roles.

The ideal candidate combines strong technical acumen with delivery leadership and is comfortable

partnering with clients, business stakeholders, architects, product teams, and engineering teams to

deliver complex technology transformation initiatives. This individual will be responsible for driving

execution excellence, managing stakeholder expectations, ensuring customer success, and delivering

measurable business outcomes.

Responsibilities

Delivery Management

• Plan and manage the delivery of software, cloud, data, and AI transformation programs while ensuring

alignment with customer objectives and business outcomes.

• Define project scope, delivery plans, timelines, milestones, resource requirements, and success

metrics.

• Manage delivery risks, technical dependencies, resource constraints, and escalation paths to ensure

predictable execution.

• Track project health, team velocity, delivery milestones, financial performance, and customer

satisfaction metrics.

• Ensure projects are delivered on time, within budget, and meet quality expectations.
• Drive continuous improvement initiatives to optimize delivery processes, team effectiveness, and

customer outcomes.

• Manage multiple concurrent projects and distributed teams across geographies.

Agile Delivery & Scrum Leadership

• Guide and coach teams on Agile principles, Scrum practices, and delivery excellence.
• Facilitate Agile ceremonies, including Sprint Planning, Daily Standups, Sprint Reviews, Backlog

Grooming, and Retrospectives.

• Foster a culture of accountability, ownership, collaboration, and continuous improvement.
• Remove delivery impediments and proactively address team challenges.
• Drive Agile maturity and support teams in adopting best practices.
• Partner with Product Owners to ensure effective backlog prioritization and sprint planning.

Technical & Consulting Leadership

• Collaborate with clients, architects, product teams, and engineering leaders to understand business

goals and translate them into actionable delivery plans.

• Participate in technical discussions, architecture reviews, solution planning, and delivery strategy

sessions.

• Understand technical challenges and work with engineering teams to identify practical solutions and

mitigation plans.

• Support engineering teams in balancing delivery commitments with scalability, quality, security, and

maintainability requirements.

• Work closely with cloud, data, AI, and application engineering teams to drive successful solution

delivery.

• Provide delivery oversight for complex enterprise technology initiatives involving cloud modernization,

AI, analytics, and digital transformation.

Client & Stakeholder Management

• Build trusted relationships with customers, business stakeholders, and executive sponsors.
• Lead delivery governance meetings, status reviews, steering committee discussions, and executive

updates.

• Communicate project status, risks, issues, dependencies, and mitigation plans effectively.
• Manage stakeholder expectations and ensure alignment across customer and internal teams.
• Act as the primary point of contact for delivery-related matters throughout the engagement lifecycle.
• Support account growth by identifying opportunities for process improvements, additional services, and

strategic initiatives.

Process & Operational Excellence

• Establish and promote delivery governance frameworks, metrics, and reporting standards.
• Drive adoption of best practices in Agile delivery, project execution, and team collaboration.
• Contribute to the evolution of organizational delivery methodologies and operational processes.
• Support resource planning, capacity management, and delivery forecasting activities.
• Promote knowledge sharing, mentoring, and professional development across delivery teams.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 10+ years of overall experience in Software Engineering, Technical Leadership, Project Delivery, or

Program Management.

• Minimum 3+ years of experience as a Delivery Manager, Technical Delivery Manager, Program

Manager, Scrum Master, or Engineering Delivery Lead.

• Strong background as a Software Engineer, Technical Lead, Engineering Lead, or Solution Architect

before transitioning into Delivery Management.

• Proven experience delivering enterprise-scale software, cloud, data, analytics, or AI programs in

consulting or professional services environments.

• Strong understanding of Agile methodologies, Scrum frameworks, and modern software delivery

practices.

• Experience managing distributed cross-functional teams and multiple concurrent projects.
• Strong understanding of Software Development Life Cycle (SDLC), engineering practices, and delivery

governance.

• Ability to understand system architecture, cloud platforms, APIs, microservices, distributed systems,

and technical delivery challenges.

• Experience working with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
• Experience working with engineering teams delivering cloud-native applications, data platforms,

analytics solutions, or AI/ML initiatives.

• Familiarity with Agile project management tools such as Jira, Azure DevOps, or similar platforms.
• Excellent communication, stakeholder management, negotiation, and leadership skills.
• Strong analytical, organizational, and problem-solving abilities.

Preferred Qualifications

• Experience working in consulting, system integration, professional services, or customer-facing delivery

organizations.

• Experience delivering cloud migration, data modernization, AI/ML, GenAI, analytics, or digital

transformation programs.

• Scrum Master certifications such as CSM, PSM, SAFe Scrum Master, or equivalent.
• Exposure to Google Cloud technologies and AI-driven solutions.
• Experience managing globally distributed teams and enterprise customers.
• Strong customer-facing consulting and executive stakeholder management experience.

Please note, we cannot sponsor or transfer any visas, of any kind, at this time.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools-including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies-to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.