Data Quality Engineer

job summary:

• Provide advisory tdefine, improve or operationalize data management control frameworks, DQ standards, and governance process
• Provide guidance on DQ and IT Control standards talign with Enterprise Risk Finance and Technology (RFT) Framework and industry standards
• Develop expertise on the Client's Enterprise Data Management policies and standards and provide guidance (or highlight risks or issues) tsenior management

• Perform current state assessment of Data Quality and IT Controls and provide recommendations tmore effectively mitigate data risk
• Identify existing Data Quality and IT controls along data supply chain
• Evaluate effectiveness of control design/implementation and assess control gaps
• Recommend an optimized target state tensure improve coverage and the right controls are deployed in strategic locations
• Recommend appropriate data capture, transport and use controls and collaborate with enterprise technology teams timplement recommended DQ Controls
• Partner with DM team trefine existing DQ Rule tensure appropriate coverage and granularity
• Support process treview Key Business elements (KBE), KBE metadata, prioritization, data lineage
• Execute ERFT's Data Quality Framework tassess, measure, monitor and report data quality for key business elements leveraged across key regulatory reports.
• Partnering and engaging with the Monitoring, Governance and Issue Management workstreams

• Support audit preparation and provide actionable recommendations tmitigate Data Quality and IT Controls risks highlighted in audit or regulatory findings
• Provide guidance on required artifacts and collate DQ information in preparation for audit
• Sustainable Controls Design for Issue Remediation
• Design sustainable Data Quality controls as part of issue remediation process
• Partner with business, technology and issue remediation team tdefine sustainable Data Quality and IT controls
• Provide actionable recommendations timplement controls that prevent, detect and correct DQ related risks

• 5+ years data management and/or data governance experience
• 3+ years of experience using enterprise data quality tools such as Collibra DQ, Informatica Data Quality, IBM InfAnalyzer, Oracle Data Profiling
• Self-starter, able twork autonomously, with time management skills; efficient at multi-tasking and able twork under pressure tdeliver multiple business demands on-time, ta high standard
• Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority (up-tManaging Director level) across Finance, Risk, and Technology
• Ability tpartner with senior managers and other stakeholders on projects in a multi-tiered and matrixed org model
• Experience producing PowerPoint presentations for senior audiences; candidate must have an eye for clean and artful design and presentations utilizing data visualization tools
• analytical and problem-solving skills
• Talent for quickly learning new tasks
• Meticulous approach twork and attention tdetail

• Perform current state assessment of Data Quality and IT Controls and provide recommendations tmore effectively mitigate data risk
• Identify existing Data Quality and IT controls along data supply chain
• Evaluate effectiveness of control design/implementation and assess control gaps
• Recommend an optimized target state tensure improve coverage and the right controls are deployed in strategic locations

• Experience level: Experienced
• Minimum 10 years of experience
• Education: Bachelors