Enterprise Data Management & Data Quality Lead (10+ years) to design and implement enterprise investment data governance and data quality framework -1/ -1

Our financial services client is seeking a Enterprise Data Management & Data Quality Lead (10+ years) to design and implement enterprise investment data governance and data quality frameworks using Databricks, Microsoft Azure, Bloomberg, BNY Eagle, and FactSet

Join a strategic Asset Management data initiative focused on building a centralized enterprise investment data ecosystem and trusted golden source data capability. This role leads the design and implementation of enterprise data governance standards, data quality controls, stewardship models, and operating frameworks across critical investment data domains. The position offers enterprise-wide visibility across portfolio management, trading, operations, risk, compliance, and technology stakeholders. The successful candidate will influence the future state of investment data management and data quality practices within a large-scale financial services setting.

Contract, Toronto, Hybrid, Working Hours: EST

Must Haves

- 10+ years in Enterprise Data Management , Investment Data Governance , Security Master Management , Data Strategy , or Investment Operations
- Leadership of Enterprise Data Management initiatives within Asset Management , Wealth Management , Pension Funds , Institutional Investment Firms , or Financial Institutions
- Expertise with Databricks , Microsoft Azure , SQL , Bloomberg ,



BNY Eagle , and FactSet
- Development of data governance frameworks , data stewardship models , golden source investment data , and enterprise data quality controls

Nice to Have

- Leadership experience within pension funds, asset managers, global banks, or institutional investment firms
- Cloud-based data modernization initiatives
- 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

Responsibilities

- 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
- Lead workshops to define data quality requirements, validation rules, and acceptance criteria across investment data domains
- Design and implement enterprise data quality standards and business validation frameworks
- Partner with engineering teams to operationalize data quality controls within Databricks and Azure environments
- Serve as SME across Security Master, reference data, pricing and valuation data, benchmark data, positions, transactions, corporate actions, and portfolio hierarchies

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

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📌 Enterprise Data Management & Data Quality Lead (10+ years) to design and implement enterprise investment data governance and data quality framework 105998-1/106000-1 (Toronto)
🏢 S.i. Systems
📍 Toronto