Enterprise Data Management Analyst

Raise; Toronto; On-site; CAD 92,000 - 107,000; Full time

Job summary

Raise is hiring an Enterprise Data Management Analyst in Toronto for a 12-month, onsite contract. You will lead data quality oversight across investment data domains, manage data quality rules, and coordinate remediation with business and technology teams.

The role requires 5-8+ years in data management, strong SQL, experience with Databricks and Azure, and familiarity with Bloomberg/FactSet. You will collaborate with portfolio managers, traders, and operations to enforce governance and data

Qualifications

• 5-8+ years of Enterprise Data Management experience.
• Experience in Asset Management environments.
• Hands-on data domains: Security Master, Reference Data, Pricing, Benchmarks, Positions, Transactions, Corporate Actions.
• Strong SQL and data analysis skills.
• Exposure to Databricks and cloud platforms (Azure).
• Experience with Bloomberg, FactSet, or similar market data providers.
• Experience with data quality dashboards and monitoring tools.
• Proven ability to collaborate with business and technology stakeholders.

Responsibilities

• Lead day-to-day data quality oversight and exception management 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 transactions.
• Investigate data quality issues and coordinate remediation with stakeholders.
• Ensure data completeness, consistency, and accuracy across platforms.
• Implement controls related to pricing integrity and benchmark mapping.
• Build and maintain data quality reporting, dashboards, KPIs and KRIs.
• Liaise with external vendors to resolve data issues and coordinate data changes.
• Document ownership and stewardship across key data domains.
• Certify and validate investment data as a trusted golden source.

Skills

SQL

Data analysis

Data quality controls

Stakeholder collaboration

Pricing/Benchmarks

Root cause analysis

Databricks

Azure

Market data tools

Tools

Databricks

Azure

Bloomberg

FactSet

Job description

• Location: Toronto, ON (On-Site, 4-5 Days)
• Pay Rate: $67.41/hr-$77.92/ hr
• Contract Length: 12 Months with possibility for extension

• Location: Toronto, ON (On-Site, 4-5 Days)
• Pay Rate: $67.41/hr-$77.92/ hr
• Contract Length: 12 Months with possibility for extension

We at Raise are hiring an Enterprise Data Management Analyst for one of our top clients. After establishing themselves as an industry leader, they're now expanding their team to meet rising demand.

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 escalat
• 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
• Pricing Data
• Benchmarks
• Positions
• Transactions
• Corporate Actions
• 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.

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we're a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at [phone] or [e-mail]

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