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EY Manager - AI Data Management 
Canada, Ontario, Toronto 
780267019

15.09.2024

Key Responsibilities:

  • Lead the design, implementation, and management of robust data management frameworks and practices for clients.
  • Oversee data quality management, ensuring accuracy, consistency, and reliability of data across various systems.
  • Develop and implement data governance policies and procedures to ensure compliance with industry standards and regulations.
  • Manage data integration processes, including ETL (Extract, Transform, Load) development, to support seamless data flow across systems.
  • Develop automation scripts for testing and remediating data issues, ensuring continuous monitoring and maintenance of data quality.
  • Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts, to align data initiatives with business objectives.
  • Provide strategic direction and technical expertise in data architecture and data modeling.
  • Drive the development and maintenance of data management tools and technologies.
  • Conduct data assessments to identify and remediate data issues.
  • Mentor and lead a team of data management professionals, fostering a culture of excellence and continuous improvement.

Qualifications:

  • Bachelor’s degree in data science, Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • 5+ years of experience in data management, data architecture, and data governance.
  • Proven experience in data quality management and data integration.
  • Strong knowledge of data governance frameworks and regulatory compliance.
  • Proficient in data modeling, ETL processes, and data lifecycle management.
  • Excellent communication and collaboration skills, with the ability to interact effectively with clients and stakeholders at all levels.
  • Strong analytical and problem-solving abilities.
  • Regulatory compliance and privacy program development and implementation experience in Financial Service Industry is highly desirable.
  • Certifications in data management (e.g., DAMA Certified Data Management Professional) are a plus.

Technical Skills:

  • Data management tools and technologies (e.g., Informatica, Cognos)
  • Data integration and ETL processes
  • Data quality management
  • Data governance frameworks
  • Data architecture and modeling
  • SQL and other database management systems
  • SAS, Cognos experience is highly desirable
  • Knowledge of AI and machine learning concepts is a plus

Why Join Us:

  • Opportunity to work with a prestigious Big 4 consulting firm.
  • Engage in high-impact projects with leading global clients.
  • Access to continuous learning and professional development opportunities.
  • Competitive compensation and benefits package.
  • A collaborative and inclusive work environment.

Ideally, you’ll also have

  • Strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software and network
  • A high level of motivation, strong work ethic and self-starting attitude.


What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

  • The opportunity to manage a portfolio of talent within a designated service line
  • A collaborative environment where everyone works together to create a better working world
  • Excellent training and development prospects, both through established programs and on-the-job training
  • An excellent team of senior colleagues, dedicated to managing and varying your workload
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.