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Data Governance Lead Analyst Canada Jobs

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VP, Regulatory Execution - Data Governance Lead Analyst
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Lead the execution of data governance strategy and regulatory compliance within Risk Management at Citi. This Mississauga-based role requires 6-8+ years in financial risk, audit, or data governance. You will drive policy implementation, manage corrective action plans, and partner with senior stak...
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Canada , Mississauga
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Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Data Governance Lead Analyst
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Seeking a Data Governance Lead Analyst in Mississauga. You will shape enterprise strategy, manage the Data Risk & Control Framework, and ensure regulatory compliance. This role requires 6+ years in data governance, audit, or transformation within financial services. Partner with global teams to d...
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Location
Canada , Mississauga
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Salary
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Explore a world of opportunity in Data Governance Lead Analyst jobs, a critical and growing field at the intersection of data management, compliance, and business strategy. Professionals in this role are the architects and custodians of an organization's data integrity, ensuring that data is accurate, available, usable, and secure. They establish the foundational frameworks that treat data as a valuable enterprise asset, enabling informed decision-making and mitigating data-related risks. A Data Governance Lead Analyst is typically responsible for developing, implementing, and maintaining the core components of a data governance program. This involves contributing to the enterprise data governance strategy and assisting in the creation of a robust data risk and control framework. A central part of their day-to-day work includes drafting and championing data policies and standards, and then working across business lines and IT departments to ensure their widespread adoption and compliance. They act as a vital liaison, translating complex data governance concepts into actionable plans for various teams. Common responsibilities for individuals in these jobs often encompass a wide range of activities. They conduct detailed business analysis to understand data needs and align them with governance standards. They are instrumental in defining and monitoring data quality rules and metrics, leading to more reliable and trustworthy data across the organization. These analysts also provide expertise on the data controls framework, overseeing its performance and managing the process for identifying, tracking, and resolving data-related issues. Furthermore, they play a key role in regulatory and audit responses, ensuring the organization can demonstrate compliance with data protection laws and internal policies. The typical skill set for a Data Governance Lead Analyst is a blend of technical knowledge and strong interpersonal abilities. While deep technical coding skills are not always mandatory, a solid understanding of data management principles, data quality concepts, and data architecture is essential. Expertise in project management methodologies is highly valuable for driving data-related initiatives. Crucially, these roles demand excellent communication, negotiation, and stakeholder management skills. Professionals must be able to influence colleagues at all levels, from technical teams to senior executives, to build consensus and foster a culture of data stewardship. A keen eye for detail is balanced with the ability to see the bigger strategic picture, optimizing processes for continuous improvement. Most positions require a bachelor's degree and several years of relevant experience in data management, governance, audit, or a related field, with many employers preferring candidates from regulated industries like finance or healthcare. If you are a strategic thinker with a passion for data quality and a talent for cross-functional collaboration, exploring Data Governance Lead Analyst jobs could be the next step in your career. This profession offers the chance to make a significant impact on an organization's operational efficiency, risk posture, and overall success in the data-driven economy.

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