Enterprise Data Management Lead

Raise; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Raise in Toronto is seeking an Enterprise Data Management Analyst to build and operate a golden source for investment data across security master, pricing, reference data, and transactions. You will implement data quality controls, governance standards, and validation rules in a collaborative, data-driven environment.

The role focuses on ownership, exception management, and data stewardship, partnering with risk, compliance, operations, and tech teams, with potential long-term extension and

Qualifications

• 5-8+ years of experience in Enterprise Data Management, Security Master, Data Quality, Investment Operations or Data Governance.
• Experience in Asset/Wealth Management or Financial Services contexts is a plus.
• Hands-on data quality controls, validation and exception management.
• Ability to collaborate with data owners and cross-functional stakeholders.

Responsibilities

• Lead day-to-day data quality oversight and exception management across 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, and transactions.
• Investigate data quality issues and coordinate remediation with business and technology partners.
• Ensure data completeness, consistency, and accuracy across platforms and data sources.

Skills

Enterprise Data Management

Security Master

Data Quality

Investment Operations

Data Governance

Tools

SQL

Python

Spark

Databricks

Azure

Job description

Duration: 12 months- Potential for this contract to be extended or converted to FTE

Remote/Hybrid: On Site preference with some flexibility

Location: Toronto, ON-Hybrid/On Site preference with some flexibility

Interview Process: 2 MS teams Teams- with: Director + Leadership; 60 minutes

Line of Business: Asset Management Technology & Data

Tell me about your team (# of members, culture, etc

The team is responsible for establishing enterprise-wide investment data standards and controls across Asset Management. Team members work closely with portfolio managers, traders, operations, risk, compliance, and technology partners to improve data quality and maintain trusted investment data for business consumption

What does the LOB do?:

The team manages and governs investment data across the Asset Management business, ensuring high-quality, trusted data is available to support portfolio management, trading, risk, performance measurement, compliance, and reporting functions. The group is building a centralized enterprise data ecosystem and establishing data quality standards, controls, and governance processes across critical investment data domains

Reason the role is open?

New project funding has been approved to accelerate the build-out of enterprise data quality standards, validation rules, and security master controls within Asset Management's centralized data platform

What project will this contractor be working on?

The contractor will support the implementation of an enterprise investment data quality framework focused on establishing "golden source" data standards, validation rules, exception management processes, and operational controls across the enterprise investment data ecosystem. The role will help ensure the accuracy and integrity of transaction, valuation, reference, pricing, benchmark, and security master data

Highlights of the role; why would someone choose this role over another?

Opportunity to help build an enterprise data quality framework from the ground up.

High visibility initiative supporting critical investment and portfolio management processes.

Work alongside business and technology leaders across Asset Management.

Opportunity for long-term extension and potential permanent opportunities.

Exposure to industry-leading platforms including Bloomberg, BNY Eagle, FactSet, Databricks, and Microsoft Azure

Who Will the Candidate Be Working with on a Daily Basis?

Risk and Compliance Teams

Enterprise Data Management

Technology and Data Engineering Teams

External Data Vendors and Service Providers

How many years of 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.

Job Description:

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.

Must Have Requirement:

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:

• Security Master
• Reference Data
• Benchmarks
• Transactions
• 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.

Nice to Have:

• 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.

Soft Skills:

• 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