Senior Manager Digital Engineering Cloud Engineering Toronto

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 valuewhile 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 clientsand 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

• Defineenterprise cloud strategies operating models and roadmapsaligned 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 ensuringquality 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 totranslate 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: $148000 to $222500

Inclusiveness at EY

Inclusiveness is the heart of who we are and how we work. Were 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 ourneuroinclusionand 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 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.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.