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AI and Data - Manager - Product Manager

Job in Toronto, Ontario, M5A, Canada
Listing for: EY
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AI and Data - Manager - Product Manager and

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Location:

Toronto

Other locations:
Primary Location Only

Date:
May 21, 2025

Requisition

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

Joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains.

The experiences you gain here will be more valuable than anywhere else.

We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc.

- to lead and implement leading-edge data management and strategy projects.

Your Key Responsibilities

  • Product Strategy and Vision:
    Develop and communicate a clear product vision and strategy for data warehousing and analytics, aligned with business objectives and customer requirements. Ability to align this to a concise product roadmap and recognize ROI.
  • Product Management:
    Define and prioritize features, user stories, and technical tasks to ensure the product backlog is focused on delivering maximum value. Incorporate product management best practices. Lead cross-functional teams and guide the development and launch of data-related products.
  • Stakeholder Collaboration:
    Collaborate closely with stakeholders, including business leaders, data engineers, analysts, and data scientists, to gather requirements, provide updates, and ensure successful product delivery. Act as the primary point of contact for stakeholders and communicate product updates and progress.
  • Data Governance and Compliance:
    Drive initiatives related to data governance, data quality, compliance, and privacy to ensure that data assets are managed in a secure and compliant manner.
  • Technical Expertise:
    Leverage a deep understanding of data warehousing, data analytics, data management, and emerging technologies to guide product development efforts.
  • Economic Scalability:
    Evaluate the economic scalability of data infrastructure and analytics solutions to ensure they can grow in tandem with business demands without incurring disproportionately high costs.

To qualify for the role, you must have

  • 8+ years of experience in and understanding of concepts and frameworks pertaining to Data Management
    - Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Warehousing, ETL, and Data Analytics.
  • 3+ years of experience with Agile product delivery. Proficiency in Agile methodologies (e.g., Scrum) and familiarity with project management tools (e.g., Jira).
  • Advanced problem-solving skills, superior communication (verbal and written)
  • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines.
  • Experience with client-facing activities requirements gathering, presentation creation, and ability to prepare client ready deliverables
  • Experience of Agile and traditional SDLC delivery methodologies Strong analytical and problem-solving skills

Ideally, you’ll also have

  • Prior consulting experience preferred
  • Project management and process development expertise in client serving roles strong organizational and time-management skills
  • Certification in relevant areas such as Certified Scrum Product Owner (CSPO), Certified Data Management Professional (CDMP), or similar.

Skills and attributes for success

  • Be self-motivated and passionate about data management and…
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