Data Quality & Insights Lead for AI Readiness

Scotiabank; Ottawa; On-site; CAD 110,000 - 160,000; Full time

Job summary

Scotiabank is seeking a Manager of Data Initiatives to drive data quality, governance, and AI-ready data across Global Wealth Management & Insurance. You will collaborate with business and technical teams to analyze data, implement quality rules, and deliver dashboards that communicate key metrics.

The role requires a strong background in data management, analytics, and cloud environments, with leadership experience in financial services data projects.

Qualifications

• Undergraduate degree in CS, data science, finance, or econ.
• 3+ years data management with SQL/Python.
• 2+ years visualization with Power BI.
• Experience in financial services data initiatives.

Responsibilities

• Analyze and interpret data from databases and feeds to identify trends.
• Collect and store data to enable AI readiness and leverage AI.
• Profile data, perform data quality checks, and fix issues.
• Develop data quality rules and monitoring processes; document data sources and rules.
• Identify root causes of data quality problems and propose solutions.
• Contribute to data governance policies and business rules.
• Create reports and dashboards to communicate data insights to stakeholders.
• Collaborate with analysts, data engineers and teams to implement data solutions.
• Provide training and support on data access and tools.

Skills

Data governance

Data quality

SQL

Python

Power BI

Cloud platforms

Leadership experience

Data analysis

Education

Bachelor's degree in Computer Science or Data Science

CFA enrollment asset

Python/SQL certifications

Tools

Python

SQL

Power BI

GCP

Azure

Databricks

Job description

Scotiabank is seeking a Manager of Data Initiatives to drive data quality, governance, and AI-ready data across Global Wealth Management & Insurance. You will collaborate with business and technical teams to analyze data, implement quality rules, and deliver dashboards that communicate key metrics.

The role requires a strong background in data management, analytics, and cloud environments, with leadership experience in financial services data projects.