Director, Data Management
JP MORGAN CHASE
Total years of experience :3 years, 4 Months
Responsibilities:
• Lead the Data Management team, overseeing data governance, data quality, and data architecture initiatives.
• Develop and implement data management strategies to enhance data accuracy, integrity, and security across the organization.
• Collaborate with senior executives and stakeholders to align data management practices with business objectives and regulatory requirements.
• Manage a team of data analysts and data scientists, providing mentorship and fostering a culture of continuous improvement.
• Spearhead the integration of advanced data analytics and machine learning techniques to improve data insights and decision-making.
• Ensure compliance with industry standards and regulations, including GDPR and CCPA, through robust data governance frameworks.
• Achieved a 30% improvement in data quality metrics and a 20% reduction in data-related incidents through the implementation of comprehensive data governance policies.
• Lead strategic programs and projects to drive business transformation and deliver measurable results aligned with corporate objectives.
• Manage project lifecycles from initiation to closure, defining project scope, objectives, and deliverables, and ensuring adherence to timelines and budget constraints.
• Mapped process flows; assess as-is processes through user interviews, data collection and analysis, design and evaluation of to-be process solutions.
• Develop and execute project plans, identifying key milestones, dependencies, and resource requirements to achieve project objectives and deliverables.
• Prioritizing and tracking the user requirements and Requirement Traceability using JIRA, and formulated various charts, reports, dashboards using Tableau.
• Provided BI Analysis using various BI tools (such as Power BI, Tableau, etc.) to review key metrics and Created report schedules, data connections.
• Collaborate with cross-functional teams, including technology, operations, and business stakeholders, to prioritize initiatives and drive alignment on project goals and objectives.
• Assisted process team in developing process flows for data collection, historical data management.
Responsibilities:
• Lead the Data Management team, overseeing data governance, data quality, and data architecture initiatives.
• Develop and implement data management strategies to enhance data accuracy, integrity, and security across the organization.
• Collaborate with senior executives and stakeholders to align data management practices with business objectives and regulatory requirements.
• Manage a team of data analysts and data scientists, providing mentorship and fostering a culture of continuous improvement.
• Spearhead the integration of advanced data analytics and machine learning techniques to improve data insights and decision-making.
• Ensure compliance with industry standards and regulations, including GDPR and CCPA, through robust data governance frameworks.
• Achieved a 30% improvement in data quality metrics and a 20% reduction in data-related incidents through the implementation of comprehensive data governance policies.
• Lead strategic programs and projects to drive business transformation and deliver measurable results aligned with corporate objectives.
• Manage project lifecycles from initiation to closure, defining project scope, objectives, and deliverables, and ensuring adherence to timelines and budget constraints.
• Mapped process flows; assess as-is processes through user interviews, data collection and analysis, design and evaluation of to-be process solutions.
• Develop and execute project plans, identifying key milestones, dependencies, and resource requirements to achieve project objectives and deliverables.
• Prioritizing and tracking the user requirements and Requirement Traceability using JIRA, and formulated various charts, reports, dashboards using Tableau.
• Provided BI Analysis using various BI tools (such as Power BI, Tableau, etc.) to review key metrics and Created report schedules, data connections.
• Collaborate with cross-functional teams, including technology, operations, and business stakeholders, to prioritize initiatives and drive alignment on project goals and objectives.
• Assisted process team in developing process flows for data collection, historical data management.