Senior Manager - Digital Engineering - Cloud Engineering - Toronto

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The Opportunity

We are seeking a highly experienced Senior Manager – Cloud Engineering to lead the design and delivery of integrated cloud solutions that align business strategy with modern technology platforms.

This role sits at the intersection of technology, business transformation, and client engagement . You will guide organizations in leveraging cloud and AI to drive innovation, scale operations, and unlock new value—while leading multidisciplinary teams across complex transformation programs.

This job posting relates to an existing vacancy within our organization.  

Your Key Responsibilities

You will act as a trusted advisor to senior clients and a leader within the firm, bridging business objectives with technology execution.

Client & Business Leadership

• Build and maintain strong client relationships, serving as a strategic advisor on cloud and AI-enabled transformation
• Contribute to business development , including shaping proposals, responding to RFPs, and driving pipeline growth
• Identify opportunities to expand engagements by connecting client business priorities with innovative cloud solutions

Strategy & Architecture Leadership

• Define  enterprise cloud strategies, operating models, and roadmaps aligned to client business objectives
• Lead the development of scalable, secure, and compliant cloud architectures across Azure, AWS, or hybrid environments
• Drive the integration of AI/ML capabilities into cloud solutions to enhance decision-making, automation, and customer experience
• Establish cloud governance, standards, and architecture principles at an organizational level

Delivery Oversight & Execution

• Oversee end-to-end delivery of cloud transformation programs, ensuring  quality, timelines, and financial performance
• Guide technical teams and solution architects without requiring day-to-day hands-on development
• Ensure alignment between architecture design and implementation across multiple workstreams
• Manage key risks, dependencies, and stakeholder expectations

Team Leadership & Capability Building

• Lead and mentor high-performing teams across cloud engineering, architecture, and DevOps disciplines
• Foster a culture of innovation, collaboration, and continuous learning
• Contribute to development of thought leadership, assets, and accelerators , particularly in cloud + AI domains

Skills & Attributes for Success

• Strong ability to  translate business needs into technology solutions , and vice versa
• Executive-level communication skills, with the ability to influence senior stakeholders
• Proven experience leading large-scale cloud transformation programs
• Deep understanding of cloud platforms (Azure preferred), architecture patterns, and governance frameworks
• Knowledge of AI/ML capabilities and their application within cloud ecosystems
• Experience working in or with consulting environments and complex client organizations
• Strong commercial acumen, including budgeting, forecasting, and engagement management

To Qualify for the Role, You Must Have

• Significant experience (typically 10+ years) in cloud engineering, architecture, or technology consulting
• Demonstrated track record delivering complex cloud or digital transformation programs
• Experience engaging with senior business and technology stakeholders
• Exposure to AI/ML-enabled solutions or data-driven transformation initiatives
• Cloud certifications (Azure preferred; AWS/GCP also valued)
• Ability to travel within Canada up to 40% of the time, depending on client assignments

Industry Knowledge

• Demonstrated depth in one or more industries , translating sector-specific needs into practical cloud and AI-enabled solutions
• Experience delivering technology transformation in Financial Services (e.g., banking, insurance, capital markets), including security, risk, resiliency, and regulatory considerations is an asset
• Experience working with Government / Public Sector organizations, including privacy, data residency, procurement, and stakeholder management in complex environments is an asset
• Ability to develop industry-relevant points of view and contribute to proposals by connecting cloud architecture decisions to business outcomes and operating constraints

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.  

• Toronto: $148,000 to $222,500

Inclusiveness at EY  

Inclusiveness is the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.  

Learn about our commitment to Inclusiveness at 

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with the highest ethical principles and regulatory requirements.

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