Data Governance Senior Manager

$171,968 - $292,346/Yr

Capital International Group - New York, NY

Full-time - Senior

New York, NY

Insurance Carriers and Related Activities

About the position

As a Data Governance Senior Manager within the Enterprise Data Office, you will oversee and provide strategic direction to direct reports and other associates in a matrix environment to mature and apply data governance standards and best practices across the enterprise. This role involves partnering with various leaders to align stakeholders and drive the adoption of data governance policies in a thoughtful manner.

Responsibilities

• Extend and enhance existing Enterprise Data Governance Processes.
• Lead the adoption effort for enterprise data governance policies, including data use, data retention, metadata management, and data quality management.
• Ensure adherence to regulatory mandates and security, privacy, and risk policies.
• Define, maintain, monitor, and enforce enterprise data governance principles, standards, procedures, controls, and models in support of CG's data strategy.
• Support the resolution of data quality issues affecting multiple functional & operating groups, including initiation of special projects to support resolution.
• Define and mature the measurements and KPIs used to evaluate the effectiveness of enterprise data governance efforts organization-wide.
• Embed Enterprise Data Governance in organization-wide practices, standards, and controls.
• Enhance standards in Strategic Sourcing procurement and contracts and vendor/partner management practices to enforce data management requirements.
• Monitor and act as an escalation point in data acquisition to prevent duplication of sourcing third-party data assets.
• Partner with the Enterprise Change Office to further integrate data governance practices in organizational change and project execution methodologies.
• Coordinate with Information Technology Group to identify control points and enabling processes and standards to be incorporated into software delivery lifecycles and frameworks.
• Coordinate with Data Literacy Lead and Talent Development to implement specific training in support of enterprise-wide adoption of data owner and steward roles and responsibilities.
• Strengthen data governance engagement in data operations incident and problem management, leveraging and enhancing existing standards for known defect remediation and proposed control enhancements.
• Lead execution of the Enterprise Data Governance operating model in and across LOBs and regions.
• Facilitate the adoption of enterprise data governance standards and best practices by LOB, IT, and Data Product teams.
• Drive the business glossary and associated technical metadata content within enterprise data governance tools.
• Monitor and review the ongoing effectiveness of the Data Governance operating model.
• Analyze and make recommendations on issues related to data profiling methods, business requirements definition, data quality rule design and reuse, and associated measurements.

Requirements

• 10+ years of experience contributing to the definition of an enterprise data governance operating framework that links the accountabilities of data owners and stewards clearly to business value.
• 10+ years of experience defining data governance standards for data quality controls across the full data lifecycle, identifying opportunities for improvement at each stage of the data value chain.
• 8+ years of experience developing a highly skilled data analyst/specialist team, within Financial Service/Asset Management industry.
• 8+ years of experience developing leaders and driving associate engagement throughout the team.
• Proven leadership in building high performing data governance teams, fostering an innovative, collaborative culture of continuous improvement and excellence.
• Experience enabling teams to build optimal data governance policies, procedures, best practices, and data frameworks.
• 10+ years of change management experience leading successful transformations in the financial Services industry.
• Strong experience researching and defining adoption paths for advanced data quality detection and prevention methods, including use of statistics, anomaly detection, machine learning, and AI.

Benefits

• Individual annual performance bonus
• Capital's annual profitability bonus
• Retirement plan with 15% contribution of eligible earnings