Manager - AI and Data - Toronto

Manager - AI and Data - Toronto

05 Aug
|
EY
|
Toronto

05 Aug

EY

Toronto

The opportunity

We are seeking a Manager/ Data Architect for our AI & Data practice team. The ideal candidate will have strong technical leadership experience, hands‑on expertise with Databricks, and a proven track record in proposal and delivery.

Your Key Responsibilities

As a Manager/ Data Architect you will support the delivery of key projects, build valuable relationships with clients and internal stakeholders, and develop strong capabilities through formal training and mentorship.

Skills and attributes for success

- The ability to provide excellent client service and build strong internal and external relationships.
- Architecture leadership & subject matter expertise on complex, innovative products and reusable assets.
- Develop solution plans before project kickoff that balance costs, risks, and quality.
- Create innovative designs that align with business strategy and EY’s technology workplace.
- Collaborate closely with business/client to meet requirements and address aspects such as cost, privacy, security, continuity, and integration.
- Identify, define, and implement reusable assets and standards across products and portfolios.
- Apply relevant technical strategies, policies, standards, and practices across technology programs.
- Contribute to architecture governance structures, methodologies, and compliance activities.
- Work with vendors to assess products, understand delivery models, and support implementation.
- Manage multiple projects, build consensus, mediate conflicts, and provide advisory services.
- Demonstrate excellent interpersonal communication and organizational skills.
- Maintain relationships with business, IT, and vendors/industry analysts to stay current on broader enterprise trends.
- Recognize industry technology trends and emerging technologies, and drive their adoption within EY.
- Advocate technical quality and emerging technologies through mentoring, hackathons, and communities.




- Educate stakeholders on the purpose and benefits of data architecture.
- Guide others in resolving complex data architecture issues and solve escalated project aspects.
- Monitor project progress and quality, and review due diligence to ensure compliance with architectural design.

To qualify for the role, you must have

- Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering, or related field.
- Awareness of emerging issues, regulations, industry practices, and new technologies.
- Experience with data platforms, data modelling, and Databricks.
- Experience with Azure Cloud, data engineering, and related technologies.

Ideally, you’ll also have

- Interest in data analytics and programming with strong technical problem‑solving abilities.
- Experience with data visualization, Microsoft Fabric, Unity Catalog, Databricks assets bundles (DAB), CI/CD, and data migration.

What we look for

We seek passionate leaders with a clear vision and a commitment to staying on top of trends in IT advisory. A strong passion for helping businesses achieve their IT strategy aligns with this role.

What we offer

We offer a competitive compensation package with performance‑based rewards and a comprehensive Total Rewards program that includes medical, prescription, dental coverage; a defined contribution pension plan; generous vacation and paid personal days; statutory holidays; and a range of well‑being programs.

- Support and coaching from engaging colleagues in the industry.
- Learning opportunities to develop new skills and progress your career.
- The freedom and flexibility to manage your role in a way that suits you.

Salary ranges (Toronto): $114,000 to $171,000.

Diversity & Inclusion

EY is committed to fostering an environment where differences are valued and everyone feels a sense of belonging. We actively promote diversity, equity, and inclusion initiatives across all levels of the organization.

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📌 Manager - AI and Data - Toronto
🏢 EY
📍 Toronto

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