Vacancy expired!
With
exponential year-over-year growth of data generated, strong Data Governance,
including Data Quality, is critical to ensure clean, fit-for-purpose data for
the firm. The Firmwide & CIB Chief Data Office (CDO) is responsible for
defining and implementing the Firmwide Data Quality strategy to ensure fit for
purpose data. The
Data Quality department is accountable for transforming the entire firm's
approach to data quality by establishing clear ownership and accountability for
critical data, and implementing
effective Reactive, Proactive, and Preventative data quality standards,
capabilities and processes.The
Reactive Data Quality team is responsible for defining how the Firm manages Data
Quality Issue identification, analysis, and remediation effectively and consistently
firmwide. Crucial tasks include daily advisory support for our stakeholders
across the firm, the development of new Data Quality Metrics, and evolving the
operating models, processes, and tooling to drive adoption and enable
implementation of agreed best practices.Key roles and responsibilities:
The successful candidatewill support the DQ Team's existing overall book of work:
Develop, enhance andpresent senior management MIS around Data Quality
Minimize risks oftechnology releases in Firmwide Data Quality applications
Liaise with SMEs acrossthe Firm on DQ issues to facilitate timely resolution of pressing matters,participating in / driving deep dive sessions where necessary
Partner with Controls Orgto develop DQ processes in the context of Operational Risk
Contribute to thedevelopment and execution of the Firmwide Data Quality strategy:
Drive development andadoption of the Intelligent Data Assistant
Support the roll out ofthe new Data Content Owner role across the firm by leading efforts to train andsupport new DCOs
Use creative thinking tohelp establish a culture of Data Quality across the firm (communications,training videos, Syphony posts, infographics, etc)
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 Stakeholderpartnerships to maintain feedback loop – receiving feedback on DQ processes andtooling and raising to appropriate forum
Perform project managementand business analysis on other data quality related projects as required
Minimum 2 yearsexperience in Financial Services
Excellent communication,presentation (both oral and written) & influencing skills - candidate willbe dealing with stakeholders of varying degrees of seniority; ppt design skillsa must
A demonstrated ability toconceive, design and implement business process improvements that improveefficiency and risk and control environments
Excellent analytical andproblem-solving skills
Proficiency inmanipulating and analyzing large data sets in Excel (pivots, formulas, charts,etc.). BI experience or a strong desire to learn
Effective changemanagement skills - ability to support & adapt within a changingenvironment
Self starter, able to workautonomously with discipline, demonstrating strong time management skills;efficient at multi-tasking and able to work under pressure to deliver multiplebusiness demands on-time, to a high standard
Capacity to thinklaterally and convey an understanding of the big picture
Basic understanding of thecompany's business practices and familiarity with the company's products andservices
Basic understanding ofproject management lifecycle and Technology SDLC (software developmentlifecycle), including running a UAT testing program
Knowledge and experiencewith key Data Management principles would be advantageous
Preferred: Software QA/UATexperience and associated tools (ex. Selenium)
Preferred: Expertise withQlikview and/or Tableau
Preferred: Experience indeveloping AI tools such as Amelia, or Machine Learning expertise
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
Vacancy expired!