Enterprise Data Management & Data Quality Lead - Asset mgmt

Location: Toronto, ON

Onsite Flexibility: Onsite

Contract Details

- Position Type: Contract
- Contract Duration: 12 months
- Pay Rate: C$80.00–C$90.00 / Hour (CAD)
- Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday
- Conversion / Extension Potential: Potential for extension and potential for conversion to FTE

Job Summary The Enterprise Data Management & Data Quality Lead will lead the design and implementation of Asset Management's enterprise data quality operating model. This includes establishing data ownership across key investment data domains, partnering with business leaders and data stewards to define data quality standards, and implementing governance processes that ensure trusted, validated, and consumption-ready golden source data across the organization. The successful candidate will create the framework, ownership model, controls, and governance structure required to sustain enterprise-grade data quality at scale. The Asset Management Data team is responsible for establishing trusted, governed investment data across the organization. The group enables portfolio management, trading, operations, risk, compliance, performance measurement, and reporting functions through the delivery of high-quality, enterprise investment data and robust data governance practices. The team is currently building a centralized data ecosystem and enterprise data quality framework to create a trusted "golden source" of investment data.

Strategic investment in the Asset Management data platform has created the need for a senior subject matter expert to establish enterprise data management standards, lead data quality initiatives, and design the long-term operating model for investment data governance. The organization requires an experienced leader to accelerate the build-out of data quality controls and establish a scalable framework for future growth.

The successful candidate will lead the design and implementation of a comprehensive Enterprise Data Management (EDM) framework for Asset Management. The role will establish data governance standards, create the target-state data quality operating model, define critical business validation rules, and oversee the implementation of controls across the investment data ecosystem, including Security Master, valuations, positions, transactions, benchmarks, corporate actions, and reference data.

This role offers a unique opportunity to build an Enterprise Data Management function from the ground up, with significant influence on the future state of Asset Management data capabilities, strategic enterprise-wide visibility, and exposure to modern cloud technologies including Databricks , Azure, Bloomberg, Eagle, and FactSet ecosystems.

Key Responsibilities

Enterprise Data Strategy & Governance

- Develop and execute the Asset Management Enterprise Data Management strategy.
- Define the target-state operating model for investment data governance and stewardship.
- Establish enterprise data standards, policies, control frameworks, and governance processes.
- Create the vision and roadmap for trusted "golden source" investment data across the organization.
- Lead prioritization of critical data initiatives and quality improvement programs.

Data Ownership & Stewardship Framework

- Establish enterprise data ownership and stewardship models across critical investment data domains.
- Identify and align business domain owners responsible for data quality,



governance, and operational accountability.
- Lead workshops with business stakeholders to define domain-specific data quality requirements, critical data elements, validation rules, and acceptance criteria.
- Design governance processes that ensure ongoing ownership, monitoring, and continuous improvement of data quality controls.
- Create accountability frameworks for maintaining trusted golden source data across the enterprise.
- Ensure business validation rules are embedded within the data ecosystem and operationalized through automated controls and monitoring processes.
- Develop domain-level scorecards and data quality metrics to measure adherence to established standards.

Data Quality Framework Design

- Design and implement enterprise data quality standards and business validation frameworks.
- Define strategic controls across security master, reference data, pricing, benchmark data, positions, transactions, and corporate actions.
- Establish critical data elements, data quality metrics, thresholds, KPIs, KRIs, and reporting standards.
- Create scalable exception management and remediation processes.
- Define data certification and sign-off processes for investment data consumers.

Leadership & Stakeholder Engagement

- Partner with senior business leaders to understand data consumption requirements and translate them into enterprise controls.
- Lead workshops with portfolio managers, traders, operations, risk, and compliance teams to capture and rationalize business validation rules.
- Act as the senior escalation point for critical data quality incidents.
- Influence organizational adoption of enterprise data governance practices.
- Provide leadership and mentorship to analysts, data stewards, and project team members.

Investment Data Domain Ownership

- Serve as SME for: Security Master, Reference Data, Pricing & Valuation Data, Benchmarks & Index Data, Positions & Holdings, Transaction Data, Corporate Actions, and Portfolio & Account Hierarchies.
- Ensure business rules are embedded into enterprise platforms and workflows.
- Drive consistency across upstream and downstream data consumers.

Technology & Platform Enablement

- Partner with engineering teams to operationalize data quality controls within Databricks and Azure environments.
- Guide architecture and integration decisions impacting investment data.
- Collaborate with teams supporting Bloomberg, BNY Eagle, FactSet, and other investment platforms.
- Promote automation and continuous monitoring of data quality controls.
- Define functional requirements for future-state EDM capabilities.

Required Skills

- Expert experience with Databricks
- Expert experience with Microsoft Azure
- Expert experience with SQL and advanced data analysis
- Expert experience with Bloomberg
- Expert experience with BNY Eagle
- Expert experience with FactSet
- Expert experience with Data Governance Platforms
- Expert experience with Data Quality Monitoring Solutions
- Demonstrated experience establishing Data Ownership and Data Stewardship frameworks within Asset Management, Wealth Management,



or institutional investment environments
- Proven track record of partnering with business domain owners to define critical data elements, data quality standards, and governance processes
- Experience implementing operating models that produce trusted "golden copy" or "golden source" investment data for enterprise consumption
- Experience creating accountability frameworks for data quality management across multiple business domains
- Experience defining enterprise data governance frameworks and operating models
- Strong understanding of investment workflows and downstream data consumption
- Ability to influence senior stakeholders and executive sponsors
- Track record of creating enterprise standards and governance processes
- Experience managing enterprise-wide data transformation programs
- Executive presence and stakeholder management
- Strategic thinking coupled with hands-on delivery capability
- Strong communication and influencing skills
- Ability to translate technical concepts into business outcomes
- Exceptional problem-solving and analytical skills
- Ability to lead through ambiguity and drive organizational change
- Cooperative and consultative leadership style
- Strong coaching and mentoring capability

Preferred Skills

- Previous leadership experience at firms such as pension funds, asset managers, global banks, or institutional investment firms
- Experience supporting cloud-based data modernization initiatives
- Knowledge of data lineage, metadata management, and master data management solutions
- Python, Spark, and advanced analytics experience
- Exposure to both Asset Management and Wealth Management business models

Required Experience

- 10–15 years of investment data management experience
- Proven experience leading Enterprise Data Management initiatives within Asset Management, Wealth Management, Pension Funds, Institutional Investment Firms, or Major Financial Institutions
- Demonstrated experience building Security Master or Enterprise Data Management capabilities from the ground up
- Medical, Vision, and Dental Insurance Plans
- 401k Retirement Fund

About the Client This client is a large, full-service multinational financial institution operating across banking, wealth management, and capital markets, serving millions of individual, business, and institutional clients in its home market and internationally, with significant commercial and investment banking presence in the United States and other global markets.

Employing tens of thousands of professionals worldwide, the organization offers roles spanning enterprise data management, software engineering, business analysis, capital markets operations, and risk and compliance functions across its global network. The institution is recognized for its structured career development frameworks, competitive compensation, and meaningful commitments to inclusion and diversity, making it a strong fit for senior professionals seeking enterprise-scale impact in a collaborative, purpose-driven financial services environment.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-11515 Industry: Data & Analytics

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📌 Enterprise Data Management & Data Quality Lead - Asset Management (Toronto)
🏢 Global Technical Talent, an Inc. 5000
📍 Toronto