Enterprise Data Management Analyst

Global Technical Talent, an Inc. 5000 Company; Toronto; On-site; CAD 137,000 - 142,000; Part time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Global Technical Talent is seeking an Enterprise Data Management Analyst in Toronto, ON. The contract role focuses on data quality controls, governance, and ownership across investment data domains to deliver trusted, validated data to the business.

The role involves working with stakeholders across investment, operations, risk, and reporting, ensuring completeness and accuracy while coordinating with external data providers and vendors. Onsite with flexibility.

Qualifications

• Bachelor's degree or higher in a relevant field (e.g., data management, finance, IT).
• 5+ years in Enterprise Data Management, data quality, or governance within financial services.
• Strong SQL, data analysis, and exposure to Databricks and cloud platforms.

Responsibilities

• Lead data quality oversight across investment data domains.
• Maintain data quality rules, validation checks, and exception workflows.
• Collaborate with data owners, IT, and business stakeholders to operationalize governance standards.

Skills

SQL

Databricks

Azure

Data governance

Data quality

Stakeholder management

Communication

Education

Bachelor's degree in a relevant field

Tools

Bloomberg

FactSet

Microsoft Excel

Job description

Enterprise Data Management Analyst

Location: Toronto, ON

Onsite Flexibility: Onsite

Contract Details

• Position Type: Contract
• Contract Duration: 12 months
• Pay Rate: C$70.00–C$73.00 / Hour (CAD)
• Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday

Job Summary

The Enterprise Data Management Analyst will play a key role in the development and ongoing execution of investment data quality controls across the Asset Management business. This position is responsible for monitoring, validating, and improving the quality of critical investment data while supporting the implementation of enterprise data governance standards. The successful candidate will play a key role in establishing data ownership across critical investment data domains and partnering with designated data owners to define and operationalize business data quality rules. The role will focus on ensuring that trusted, validated, and consumption-ready "golden copy" data is available to investment, operations, risk, and reporting teams through the execution of data quality controls, exception management processes, and domain-specific validation standards.

Key Responsibilities

• Lead day-to-day data quality oversight and exception management activities across critical investment data domains.
• Own and maintain data quality rules, validation checks, control procedures, and exception workflows.
• Support management of security master, pricing, reference data, benchmarks, corporate actions, positions, and transaction data.
• Investigate data quality issues, perform root cause analysis, and coordinate remediation activities with business and technology stakeholders.
• Ensure data completeness, consistency, and accuracy across multiple investment platforms and data sources.
• Support security onboarding, identifier mapping, instrument setup, and golden source data governance processes.
• Implement and execute controls related to pricing integrity, benchmark mapping, asset classification, portfolio hierarchies, and reconciliation activities.
• Build and maintain data quality reporting, dashboards, KPIs, KRIs, and exception management metrics.
• Partner with portfolio managers, traders, operations, risk, compliance, and technology teams to incorporate business validation requirements into enterprise data controls.
• Liaise with external vendors including Bloomberg, FactSet, custodians, and market data providers to resolve data issues and coordinate data changes.
• Contribute to the development of enterprise investment data standards and governance processes.
• Support Databricks and Azure-based data quality initiatives and control automation efforts.
• Partner with business data owners and subject matter experts to document ownership and stewardship responsibilities across key investment data domains.
• Support the definition, implementation, and ongoing maintenance of domain-level data quality rules and validation procedures.
• Execute processes that ensure investment data is certified, validated, and available as a trusted golden source for downstream consumers.
• Monitor adherence to established data quality standards and elevate issues impacting data integrity or completeness.
• Work with stakeholders to continuously improve data quality controls and operational processes across security master, pricing, reference data, positions, transactions, and benchmark data domains.

Required Skills

• 5–8 years of experience in Enterprise Data Management, Security Master, Data Quality, Investment Operations, or Data Governance.
• Experience working within Asset Management, Wealth Management, Pension Funds, Investment Management, or Capital Markets environments.
• Hands-on experience managing investment data domains such as:
• Proven experience performing daily exception management, data validation, and data quality controls.
• Experience conducting root cause analysis and remediation of investment data issues.
• Strong SQL and data analysis skills.
• Exposure to Databricks and cloud-based data platforms.
• Familiarity with Microsoft Azure data environments.
• Experience with investment platforms such as Bloomberg, BNY Eagle, FactSet, or similar solutions.
• Experience working with data quality dashboards, reporting, and monitoring tools.
• Experience supporting Data Ownership, Data Stewardship, or Data Governance initiatives where business rules and data quality standards were established and operationalized.
• Proven experience partnering with business stakeholders to define and manage data quality controls for critical business data domains.
• Strong analytical and problem-solving skills.
• Excellent stakeholder management and communication skills.
• Ability to work independently in an evolving environment.
• Strong attention to detail and commitment to data accuracy.
• Collaborative team player with a consultative mindset.
• Ability to balance business priorities with data governance requirements.
• Comfortable working across business and technology functions.

Preferred Skills

• Experience building enterprise data quality frameworks from the ground up.
• Knowledge of multi-asset investment products.
• Experience supporting data governance initiatives.
• Python, Spark, or data automation experience.
• Exposure to both Asset Management and Wealth Management data domains.
• Previous experience working with Security Master implementation or transformation initiatives.

Required Experience

• 5–8 years of relevant experience in Enterprise Data Management, Investment Data Operations, Security Master Management, Data Governance, or Data Quality Management within Asset Management, Wealth Management, Pension Funds, or Financial Services.

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Important Notes

• Interview process: 2 rounds via Microsoft Teams with Director-level leadership; 60 minutes per round.
• Local candidates preferred; this is an onsite-preference role with some flexibility.

About the Client

This client is a large, full-service multinational financial institution operating across banking, wealth management, and capital markets, serving millions of clients in its home market and internationally, with significant commercial and investment banking presence in the United States and other global markets. With a workforce that spans tens of thousands of professionals — including business analysts, enterprise data specialists, technology engineers, risk and compliance experts, and capital markets professionals — the organization offers structured career development, competitive compensation, and a collaborative, purpose-driven culture with meaningful commitments to inclusion and diversity. Hybrid and remote arrangements are available for many roles, and the institution is recognized for its thorough onboarding experience and well-developed recognition and training frameworks.

Job Number: 26-11517 Industry: Data & Analytics