Data Quality Lead
Job Purpose Statement
- Enterprise Data Management (“EDM”) is a process that seeks to
ensure Data in NCBA Group PLC is accurate and consistent to meet the
strategic and business goals. “EDM” has eight key capabilities
- Data Architecture (DA);
- Data retention & archiving (DRA);
- Data quality management (DQM);
- Metadata management (“MM”);
- Master data Management (MDM);
- Data privacy & security (DPS)
- Business Intelligence and Analytics (BIA) and viii) Data
governance.
- This role will drive management of the Master Data strategy
that brings together the fundamental business data building blocks that
are shared across multiple business transactions, e.g. T-24 captures and
generates data becomes a I MDM asset’, that is used in other systems such
as customer management system (CRM), SAP -Bl regulatory reporting. This
role owns and delivers on the Master Data & Data Quality Management
strategy and reports into the Chief Data Officer, CDO.
- The Data Quality Lead is a senior management role tasked with
providing leadership and overseeing the following administrative and
operational functions within the data management office and group:
- Master Data Management: this function is responsible for
Master data management (MDM), a process and technology-enabled discipline
in which business and IT work together to ensure the uniformity,
accuracy, stewardship, semantic consistency and accountability of the
enterprise’s official shared master data assets.
- Data Quality Management: is the capability to appropriately
design data quality requirements across the business data domains,
diagnose data quality issues, correct them and monitor the solution
effectiveness.
- At its core, the role involves supporting the CDO and other
team leaders in implementing the Enterprise Data Management Framework in
regards to Master Data & Data Quality Strategies, drive strategic
performance in order to achieve strategic results that is, Data is seen as
a Strategic Asset at NCBA Group PLC and creates sustainable stakeholder
value.
Academic:
- Bachelors in Computer Science, Finance & Banking
MIS, or Information Management, operations management
- Masters or diploma in data management/data science,
will be an added advantage
Professional:
- Hands on experience in Database Development and
scripting, with expert level skills in writing SQL queries.
- Hands on experience in developing ETL packages using
Oracle DI, SQL Server Integration Services, SAP Data Services
- Deep understanding of industry standard formats and
protocols (XML/XPath/XQuery and JSON)
- Excellent analytical, problem solving and reporting
skills
- A good knowledge of the information requirements and
standard reporting within Financial Services industry
Desired work experience:
- Minimum 8 years’ experience in IT systems development within
a large, digitized organization designing, implementing and managing
mission critical systems, with at least 5 of those years within BI
development and/or support.
How to Apply
