Firmwide & CIB Chief Data Office – Data Quality Management Analyst - Associate

Last updated 12 hours ago
Location:Dorset
Job Type:Full Time

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 Firmwide & 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). Firmwide & CIB CDO offers a unique perspective into the role of data in the financial industry, partnering with a variety of stakeholders across 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:

  • Implement and support Data Quality (DQ) practices across the CIB:

    • Build strong partnerships across CIB sub-LOBs and functions to support Data Quality efforts

    • Communicate and train CIB staff on DQ strategy, principles and processes

    • Accelerate data quality issue level root cause analysis and resolution through effective program governance, process management and X-LOB triage

    • Liaise with SMEs across the CIB on DQ issues to facilitate timely resolution, participating in / driving deep dive sessions where necessary

    • Represent the DQ team and provide leadership for large scale initiatives to transfer DQ issues from offline trackers into the Firmwide DQ issue repository – DQM.

    • Partner with Controls Org to develop DQ processes in the context of Operational Risk (incl. thematic reviews of RCSA/REDs)

  • Contribute to the development and execution of the Firmwide Data Quality strategy:

    • Contribute to the implementation of the Firmwide DQ standards, and influence the design of tooling and processes

    • Liaise with the Firmwide & CIB CDO teams to develop DQ in context of the wider data governance process, e.g. data cataloguing, data integration, etc.

    • Use LOB partnerships to maintain feedback loop – receiving feedback on DQ processes and tooling and raising to appropriate forum

  • Perform project management and business analysis on other data related projects as required

Skills Required

  • Minimum 3 years’ experience in Financial Services

  • 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 company's business practices and familiarity with the company's products and services

  • Basic understanding of project management lifecycle and Technology SDLC (software development lifecycle)

  • Experience of Data Management principles would be advantageous