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Job Summary -

As a Data Management Lead, VP within the Corporate Responsibility -Chief Data and Analytics Office (CDAO) Data Governance team, you will fulfill a central role in the book of work, focused on data strategy, data governance and data risk management. You will be expected to play a lead role on expanding and evolving the data governance and data risk management program with an emphasis in one or more of the following areas:  Metadata Management, Data Quality, Data Privacy and Protection, Data Retention and Destruction, Data Storage and/or Data Use.  

Job Responsibilities:   

Partner with leadership, CAO (Chief Administrative) team and senior stakeholders to support the expanding book of work for the Corporate Responsibility -Chief Data and Analytics Office (CDAO) Data Governance program. Support the Business Functions in defining and executing on data strategy Lead and own specific data workstreams (privacy, protection, use, retention, destruction, metadata, quality, storage) for both structured and unstructured data, ensuring compliance with global firmwide policies, standards, laws and/or regulatory requirements Oversee the development and ongoing maintenance of processes, procedures and/or job-aids, that guide the teams and key supporting resources in their required data management related activities Partner with Technology to modernize data platforms (Federated Data Lake) and lead development and implementation of Data Lake Playbook, defining our approach to data product lifecycle management, data risk management, data discoverability, data glossaries, data lineage, and data quality, etc.  Develop and present reporting/metrics/analysis to support Data Governance Council meetings and priorities  Represent in Firmwide forums and working groups to ensure specific considerations are accounted for in Firmwide policies, standards, and procedures  Ensure existing and emerging technologies align with data governance and/or business requirements Manage a team of Data Management staff to deliver value-added business results and meet all deliverables as part of the Data Governance program.

 Required qualifications, capabilities and skills:

5+ years Data Governance, Data Strategy, and/or Data Management. Formal training or certification on managing data lifecycle processes  Familiarity and experience with cloud computing services in a federated data lake environment  Strong understating of data quality, data profile, data catalog, governance, data transformation, data management, and related topics Knowledge of control and risk management concepts with the ability to evaluate controls, create procedure and process flows in conjunction with business and control partners. Experience leading projects or processes across multiple teams/constituents. Experience managing a team and developing others through coaching and mentoring. Advanced analytic and problem-solving skills, including business process and root cause analysis, solution identification Detail-oriented and ability to multi-task in a fast paced environment with frequently changing priorities and to meet deadlines under pressure. Strong interpersonal and relationship building skills – with ability to influence . Strong communication skills (both written and verbal).      

Preferred qualifications, capabilities and skills:

MBA a plus. Experience in industry standard data management tools (Atlan, Collibra, Informatica, etc.) Knowledge of Global Data Privacy Laws, Regulations and requirements Experience in and Data Lake/Lakehouse tools (Alteryx, Tableau, Databricks) Agile/Scrum experience and associated tools (Confluence, Jira, Kanban) Familiarity with AI/ML and Large Language Model concepts and governance intricacies