EY Manager - AI Data Management Halifax 

Canada, Nova Scotia, Halifax 

557468585

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 allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you