Senior Manager, Data Initiatives in Toronto

Senior Manager, Data Initiatives in Toronto

Toronto Full-Time 94500 - 115500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data quality initiatives and implement innovative solutions in a collaborative environment.
  • Company: Join Scotiabank, a leading bank committed to inclusivity and community success.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Work in a supportive environment with excellent career advancement opportunities.
  • Why this job: Make a real impact on data governance and enhance AI readiness in a dynamic team.
  • Qualifications: 5+ years in data management, strong analytical skills, and experience with AI tools.

The predicted salary is between 94500 - 115500 $ per year.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. High-quality data is critical to Global Wealth Management & Insurance’s strategic objectives. As a Senior Manager, Data Initiatives, you are a senior member of a business-focused data management team providing technical leadership in the design and implementation of key data quality and governance measures and controls.

You will work closely with business and technology partners across Global Wealth Management on new data and reporting initiatives, the delivery of data quality enhancements and lead other members of the Data Initiatives team. This role also involves oversight of Data Initiatives team members, creating working relationships with business stakeholders and technical teams to understand data requirements, analyze data, and implement solutions.

In this role you will:

  • Lead the design, development, and implementation of complex data quality controls and monitoring solutions for data sets within Global Wealth Management & Insurance, ensuring data accuracy, completeness, and timeliness.
  • Lead the team with an AI-first mindset: Collect and store data to enable AI readiness, & leverage AI to enhance data, including writing code, and leveraging data to enhance AI.
  • Provide expert-level support and guidance for relevant data projects and data enquiries, ensuring support requests are managed effectively and accurately.
  • Lead the problem-solving efforts related to data-related issues and communicate to stakeholders.
  • Work with architecture and development teams from Global Wealth Management & Insurance transformation initiatives to resolve complex production and data issues & oversee the escalation and prioritization of issues.
  • Work closely with business analysts, data engineers, and other team members to understand data requirements and implement data solutions.
  • Participate in cross-functional projects as a data expert, providing training and support to business users on data access, reporting, and data quality tools.
  • Develop and maintain comprehensive data quality metrics, providing insights into data accuracy, consistency, and completeness.
  • Profile data, perform data quality checks, and identify data integrity issues.
  • Develop and implement data quality rules and monitoring processes & maintain comprehensive documentation of data sources, data flows, data definitions, and data quality rules.
  • Lead the development and maintenance of scheduled reports, ensuring timely and accurate delivery & use data visualization tools to present findings effectively.
  • Work with Data Governance partners and business data owners to define and draft sophisticated business rules and data quality controls, aligning with best practice standards and driving data governance initiatives.

Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

  • An undergraduate degree in Computer Science, Finance, Economics or equivalent with a focus in Data Analytics and AI.
  • CFA enrollment is an asset.
  • Other certifications in programming languages such as Python, SQL or other equivalent.
  • 5 + years of Investment Management Operations, Asset Management or Wealth Management & Insurance industry experience, preferably in a leadership role.
  • 5 + years of experience with data management tools and various query and processing languages (SQL, Python, ETL).
  • 2+ years’ experience with data analytics, visualization tools, and Artificial Intelligence tools (Power BI, Copilot, etc.).
  • 2+ years’ experience with public cloud environments and developing data quality programs within their applications (GCP, Databricks, Azure, etc.).
  • 2+ years’ experience with implementing a data catalog, quality and profiling.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

Senior Manager, Data Initiatives in Toronto employer: Scotiabank

Scotiabank is an exceptional employer that fosters a purpose-driven and inclusive culture, making it an ideal place for professionals seeking to excel in the financial services industry. With a strong focus on employee growth, you will have access to comprehensive training and development opportunities while working alongside senior leadership in a collaborative environment. Located in vibrant cities like Calgary and Vancouver, you will enjoy a dynamic work-life balance and the chance to make a meaningful impact on ultra-high net worth clients across Canada and internationally.

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Contact Details:

Scotiabank Recruitment Team

We think you need these skills to ace Senior Manager, Data Initiatives in Toronto

Data Quality Management
Data Governance
AI Readiness
Data Analytics
SQL
Python
ETL