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Job Description

Department Description With exponential year-over-year growth of data generated, strong Data Governance, including Data Quality, is critical to ensure clean, fit-for-purpose data. The CIB Chief Data Office (CDO) is responsible for defining and implementing the Firmwide Data Management strategy to create an industry-leading data environment.The program scope continues to evolve and encompasses cultural, behavioral, procedural and systemic transformation across the full range of data domains (such as reference, market and transaction). CIB CDO offers a unique perspective into the role of data in the financial industry, partnering with a variety of stakeholders across sub-LOBs, Corporate Functions and the Firmwide Data Management organization. Background The successful candidate will join a team focused on delivering business impact through transformation of Data Quality management. The role will require working with stakeholders across the CIB, other LOBs and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units.This role provides an outstanding opportunity at JPMorgan Chase for the selected candidate to join a high profile team and take a partnership role, supporting one of the Bank s most significant change programs. Key roles and responsibilities: Lead a global team to deliver CIB CDO DQ priorities within a CIB Payments sub-LOBs including:
• Partner with business stakeholders to identify opportunities for DQ discovery, profiling, and ongoing control solutions. Support implementation of solutions.
• Partner with business stakeholders to drive focus on prioritization of DQ efforts manage timely execution of resolutions, escalate delays and obstacles/roadblocks to business control forums.
• DQ issue tracking and remediation, root cause analysis, and escalation.
• Provide support for capturing lineage details and ensuring the quality of meta-data.
• Liaise with PMO team to ensure ongoing communication of stakeholder requirements for new and improved solutions.
• Manage and develop an existing local team of Data Quality analysts and senior associates
Perform project management and deep business analysis on specific high profile data issues/initiatives
• • Understand key requirements from the business and organize project activities to optimize for these
  • Display thought leadership in data management techniques and methodologies
  • Communicate and achieve buy-in from stakeholders across the bank including Front Office, Technology, Data Science, Operations, etc.
  • Translate large amounts of analysis into high level takeaways for senior management, with the goal to tell a story that will resonate with them
  • Achieve senior management buy-in for project activities and next steps
Skills Required
• 10+ years of experience in Investment Banking / Financial Services
• Experience in leading a team including performance management
• Preferred background in Ops, Finance or Tech with Project Management/Business Analysis skills
• Excellent analytical and problem-solving skills
• Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.)
• Experience producing PowerPoint presentations for senior audiences
• Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority (up-to Managing Director level) across Corporate/Firmwide, Finance, Risk, Compliance , Operations and Technology teams
• Effective change management skills - ability to support & adapt within a changing environment
• Self starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard
• Capacity to think laterally and convey an understanding of the big picture
• Basic understanding of the companys business practices and familiarity with the companys products and services
• Basic understanding of project management lifecycle and Technology SDLC (software development lifecycle)
• Experience of Data Management principles would be advantageous
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Keyskills :
project managementautomationcost controlroot cause analysisroot causefront officedata sciencedata qualitydata managementproblem solving