Senior Delivery Manager
- Canada
Salary range: CA$150,000 - CA$200,000. · Full-time
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Job details
- Pay
- Salary range: CA$150,000 - CA$200,000.
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Req# 1103701331
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
Responsibilities
- Own portfolio outcomes, translating client priorities into an integrated roadmap, delivery plans, measurable value, and timely decisions
- Communicate with customers, report to executives, contribute to strategy, and deliver value through AI and Engineering excellence
- Lead governance across approximately 20+ SAFe Scrum teams and 200+ professionals in four regions; align teams on priorities, PI plans, dependencies, and release readiness
- Advise senior client stakeholders, lead executive reviews, and clearly communicate progress, value, risks, trade-offs, and recovery actions
- Manage delivery health across scope, schedule, quality, staffing, capacity, financial forecasts, change control and escalations
- Oversee T&M, capacity-based, fixed-fee and outcome-based engagements, ensuring commitments and performance remain transparent
- Improve engineering effectiveness across quality, predictability, flow, automation and production outcomes; guide practical AI adoption and measure its impact
- Develop delivery leaders and teams, and partner with account and solution teams on portfolio plans and client opportunities
- Extensive experience leading technology delivery, programs, or portfolios in consulting, digital engineering, or IT services, including multiple concurrent workstreams
- Proven ownership of large product or application development engagements, ideally with 100–150+ professionals distributed across geographies
- Strong executive-level consulting and communication skills, with a record of connecting delivery decisions to client business outcomes
- Scaled Agile and SAFe product delivery experience, including PI planning, dependencies, release governance, and continuous improvement
- Experience managing delivery economics across T&M, capacity-based, fixed-fee, or outcome-based models
- Working knowledge of SDLC, quality engineering, testing, CI/CD, architecture and production readiness; able to challenge estimates and trade-offs constructively
- Practical knowledge of AI in software delivery and the ability to guide adoption, assess use cases and measure impact
- Strong risk management, facilitation, negotiation and change leadership skills; able to lead across regions and time zones
- Professional fluency in English and authorization to work in Canada
- Experience in wealth management, investment services, capital markets, asset management, or another regulated financial services environment
- Product modernization experience and familiarity with delivery measures such as predictability, flow, quality, and engineering effectiveness
- Relevant certifications such as SAFe, PMP, PgMP, or equivalent delivery leadership credentials
- Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
- Life and AD&D Insurance (Company Paid)
- Employee Assistance Program (Company Paid)
- Telehealth (Company Paid)
- Short-term Disability (Company Paid)
- Long-Term Disability
- Paid Time Off (including vacation and sick days)
- Registered Retirement Savings Plan (RRSP) with Company match
- Maternity/Parental/Adoption Leave Top-up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- Unlimited access to LinkedIn learning solutions
An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
More about this job
Responsibilities
Lead a strategic product engineering portfolio across more than 20 SAFe-aligned teams and 200+ professionals in four regions, aligning roadmaps, delivery plans, governance, and outcomes with client priorities. Advise client executives, manage delivery health and commercial models, improve engineering performance, guide practical AI adoption, and develop delivery leaders.
Requirements
Requires extensive experience leading large technology delivery programs or portfolios, including distributed teams and multiple concurrent workstreams, with strong executive consulting and communication skills. Candidates should have SAFe delivery experience, knowledge of delivery economics and software engineering practices, practical AI knowledge, strong risk and change leadership skills, professional English fluency, and authorization to work in Canada.
Skills
- Portfolio Delivery
- Program Management
- SAFe
- Scrum
- PI Planning
- Executive Communication
- Client Consulting
- Delivery Governance
- Risk Management
- Financial Forecasting
- Change Management
- Quality Engineering
- CI/CD
- AI Adoption
- Engineering Effectiveness
Benefits
- Extended Healthcare
- Prescription Drug Coverage
- Dental Insurance
- Vision Insurance
- Healthcare Spending Account
- Life Insurance
- Accidental Death and Dismemberment Insurance
- Employee Assistance Program
- Telehealth
- Short-Term Disability Insurance
- Long-Term Disability Insurance
- Paid Time Off
- Registered Retirement Savings Plan With Company Match
- Maternity, Parental, and Adoption Leave Top-Up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- LinkedIn Learning Access
Visa sponsorship
Not detected in the job text
Categories
- Management & Leadership
- Technology
- Software
- Consulting
- Finance & Accounting
Keywords
- Product Engineering
- Wealth Management
- Portfolio Management
- Delivery Management
- SAFe
- Scrum
- PI Planning
- Release Governance
- Product Modernization
- Artificial Intelligence
- Quality Engineering
- Testing
- CI/CD
- Architecture
- Production Readiness
- Delivery Economics
- Time and Materials
- Capacity-Based Engagements
- Fixed-Fee Engagements
- Outcome-Based Engagements
- Risk Management
- Change Leadership
- Engineering Effectiveness
- Predictability
- Flow
- Financial Services
- PMP
- PgMP
- Executive Reviews