Data Governance & Quality Lead (Hybrid) at Morgan Stanley in Montréal, QC

Job description

We're seeking an experienced leader to join our team as a Data Governance & Quality Lead, responsible for leading a team of data governance professionals while driving the governance, metadata management, lineage, and data quality practices that ensure structured HR data is trusted, transparent, and fit for operational, analytical, regulatory, and AI-enabled use across the firm. In the Human Capital Management division, we provide advice and insight to attract, retain, reward and develop a talented global workforce, giving employees the support and tools they need to succeed. This is a Vice-President level position within HR Data & Intelligence, which helps the firm make better workforce decisions by turning data into trusted insight. The team delivers core data, reporting, and AI-enabled capabilities that support people operations and provide self-service access to workforce insights across HR and the business. Since 1935, Morgan Stanley has been a global leader in financial services, helping clients, institutions, and governments achieve their goals while supporting employees and communities around the world. What you'll do in the role: Lead and develop a team of four HR Data Governance professionals aligned to key HR data domains, setting priorities, establishing clear accountabilities, building capability, and ensuring consistent execution of governance and data quality practices. Own and maintain the enterprise HR data catalog, business glossary, metadata standards, and critical data element inventory, ensuring structured HR data assets are consistently defined, documented, and governed. Establish and maintain end-to-end data lineage documentation for priority HR data domains, improving transparency into data sourcing, transformation, consumption, and regulatory traceability requirements. Drive the Workday and Beqom Data Quality approach, partnering with business and technology stakeholders to identify, prioritize, monitor, and remediate data quality issues across the HR data landscape. Lead the implementation and continuous improvement of the HR Data Quality operating framework, including governance processes, monitoring capabilities, controls, and issue management practices. Define, monitor, and report on data quality service level agreements and key performance indicators, ensuring risks, exceptions, and trends are escalated and addressed in a timely and transparent manner. Develop and maintain data intelligence reporting and governance scorecards that provide actionable visibility into data quality performance, metadata coverage, control effectiveness, remediation progress, and overall domain health. Partner with HR product, analytics, engineering, reporting, and control functions to embed governance requirements, metadata standards, and quality controls into system design, data pipelines, reporting solutions, and AI-enabled capabilities. Promote continuous improvement across HR data management practices through the adoption of scalable governance processes, standardized controls, and transparent performance measurement. What you'll bring to the role: At least 6 years of relevant experience in data governance, data quality management, metadata management, master data management, or related data disciplines within a complex enterprise environment. Experience leading teams and delivering outcomes through effective prioritization, coaching, stakeholder engagement, and cross-functional partnership. Experience implementing and operating data governance frameworks, metadata standards, business glossaries, enterprise data catalogs, and data lineage management practices. Knowledge of data quality management concepts, including controls, monitoring, issue management, root cause analysis, service level agreements, and remediation processes. Demonstrated ability to establish transparency around complex data processes and controls through effective reporting, metrics, and stakeholder communication. Ability to translate technical