Data Initiatives Manager — AI-Ready Insights & Quality

Scotiabank; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Scotiabank in Toronto seeks a Manager, Data Initiatives to lead data quality projects, deliver data-driven insights, and support data governance across Global Wealth Management & Insurance. You will measure accuracy, completeness, and timeliness of key data assets, collaborating with business and tech teams on data requirements and solutions.

The role emphasizes analyzing data, enabling AI readiness, and communicating insights through dashboards while guiding data governance and policy

Qualifications

• Undergraduate degree in CS/Data Science/Finance or related field with focus in Data Analytics and AI.
• 3+ years experience with data management tools and query/processing languages (SQL, Python).
• 2+ years experience with data analytics and visualization tools (Power BI).
• 1+ years experience with public cloud environments and developing data quality programs (GCP, Databricks, Azure).

Responsibilities

• Analyze and interpret data from databases, data warehouses and external feeds to identify trends and anomalies.
• Collect and store data to enable AI readiness and leverage AI to enhance data.
• Profile data, perform data quality checks and identify data integrity issues.
• Create reports and dashboards to communicate data insights to stakeholders.

Skills

Data management

Data analytics

Cloud data

Education

Undergraduate degree in CS/DS/Finance/ Economics or related with focus in Data Analytics and AI

Tools

Python

SQL

Power BI

Job description

Scotiabank in Toronto seeks a Manager, Data Initiatives to lead data quality projects, deliver data-driven insights, and support data governance across Global Wealth Management & Insurance. You will measure accuracy, completeness, and timeliness of key data assets, collaborating with business and tech teams on data requirements and solutions.

The role emphasizes analyzing data, enabling AI readiness, and communicating insights through dashboards while guiding data governance and policy