Quality Analysis Manager - Data Consumption

Job Description

1. Manage team of analysts and direct their work across all sub-LOBs
2. Partner and influence to get agreement on ownership of data quality deliverables for rules writing, monitoring, issue review, intake and closure
3. Transform technical information initial issue findings into easily understandable communication
4. Work with the portfolio leads (Issue Managers) and DQ Root Cause analysis team to manage issues through the issue lifecycle
5. Work closely data governance team to ensure proactive and preventative data quality monitoring is in place as issues are identified/resolved
6. Demonstrate the ability to lead and grow an established team by attracting and managing talent, and increasing the team capability to lead and own key components of the data quality rules, monitoring, intake and closure process
7. Influence and help shape the vision, architecture and operations automation for the team and individual components within the process
8. Drive timely execution and delivery of data quality deliverables, ensuring that the quality of rule writing and monitoring results are meeting high standards within target SLAs.
9. Ensure the team is following the established repeatable and auditable process, while continually finding efficiency/improvement opportunity
10. Manage relationships across locations within the team, and with key stakeholders supporting the work effort
11. Quickly recognize, escalate, communicate, and mitigate risks within the data quality deliverables through understanding of priority and risk ranking of the portfolio and business impacts
12. Effectively manage and report on critical KPIs, KRIs and OKRs

Required

• Demonstrate ability to lead effective teams, attract, retain, inspire and retain key talent
• Ability to influence senior stakeholders on both technical and functional topics
• Advanced MS Office Suite Skills
• Advanced knowledge of query writing and execution using SQL or other recognized data analysis tools.
• Bachelor s degree or related equivalent work experience.
• Minimum of 10 years banking or finance related experience.
• Minimum of 10 years experience in data usage, process analysis, process improvement, business analysis or data sciences.
• Advanced oral and written communication skills.
• Advanced problem solving and analytical skills.
• Senior Executive presence and communication

Preferred / Complementary

• Operational business knowledge of processes, data and technology platforms.
• Technical knowledge and hands on experience working on enterprise IT solutions
• Understanding and experience of Big Data Concepts and technologies, and data management tools
• Familiarity with Agile methodology
• Business or Data Degree concentration preferred.

,

1. Manage team of analysts and direct their work across all sub-LOBs
2. Partner and influence to get agreement on ownership of data quality deliverables for rules writing, monitoring, issue review, intake and closure
3. Transform technical information initial issue findings into easily understandable communication
4. Work with the portfolio leads (Issue Managers) and DQ Root Cause analysis team to manage issues through the issue lifecycle
5. Work closely data governance team to ensure proactive and preventative data quality monitoring is in place as issues are identified/resolved
6. Demonstrate the ability to lead and grow an established team by attracting and managing talent, and increasing the team capability to lead and own key components of the data quality rules, monitoring, intake and closure process
7. Influence and help shape the vision, architecture and operations automation for the team and individual components within the process
8. Drive timely execution and delivery of data quality deliverables, ensuring that the quality of rule writing and monitoring results are meeting high standards within target SLAs.
9. Ensure the team is following the established repeatable and auditable process, while continually finding efficiency/improvement opportunity
10. Manage relationships across locations within the team, and with key stakeholders supporting the work effort
11. Quickly recognize, escalate, communicate, and mitigate risks within the data quality deliverables through understanding of priority and risk ranking of the portfolio and business impacts
12. Effectively manage and report on critical KPIs, KRIs and OKRs

Required

• Demonstrate ability to lead effective teams, attract, retain, inspire and retain key talent
• Ability to influence senior stakeholders on both technical and functional topics
• Advanced MS Office Suite Skills
• Advanced knowledge of query writing and execution using SQL or other recognized data analysis tools.
• Bachelor s degree or related equivalent work experience.
• Minimum of 10 years banking or finance related experience.
• Minimum of 10 years experience in data usage, process analysis, process improvement, business analysis or data sciences.
• Advanced oral and written communication skills.
• Advanced problem solving and analytical skills.
• Senior Executive presence and communication

Preferred / Complementary

• Operational business knowledge of processes, data and technology platforms.
• Technical knowledge and hands on experience working on enterprise IT solutions
• Understanding and experience of Big Data Concepts and technologies, and data management tools
• Familiarity with Agile methodology
• Business or Data Degree concentration preferred.

,

Keyskills :
data analysisspssadvertisingbusiness solutionscompetitive analysisms office suiteroot cause analysisbig datams officeroot causestatements of work sow