Department: Strategy Innovation & Risk Management,
Division: Corporate Data
Office,
Location/Work station:
Head office Times Tower,
Job summary
- Responsible for data profiling analysis, superior
design of generic rules driven data quality platform architectures as well
data visualization components to support data stewards and data governance
processes and procedures.
- Additionally the Data Quality Architect will be
responsible for thorough analysis and implementation oversight leveraging
metadata and data quality knowledge to provide meaningful insights to
clients throughout the entire lifecycle of the project.
- Accountable for designing robust data architecture
and solution to meet the business data management and analytics
requirement.
Responsibilities
- Develop the vision for an ever-evolving Data
Quality improvement strategy that not only satisfies current needs but can
be easily adapted to future needs as new sources of data input and
requirements for data output are identified
- Responsible for designing, testing, deploying, and
documenting data quality procedures and their outputs
- Partner with data stewards to provide summary
results of data quality analysis, which will be used to make decisions
regarding how to measure business rules and quality of the data
- Identify the gap between business requirement and
data architecture and propose solution to resolve or shorten the gap.
- Use data quality tooling to profile the data from
business systems and 3rd party sources, define or confirm the definition
of the metadata, cleanse and accurately check the quality of data, check
for duplicate or redundant records, and provide information on how to
proceed.
- Develop business rules and data quality
standards
- Lead data migration activities including data
cleansing, data creation, data conversion, issue resolution, and data
validation
- Identify and leverage opportunities to continually
improve the quality of data management systems, processes and standards
- Identify and source third party data sources
required to enhance data quality
- Leverage existing and implement new
technologies in the data quality management
- Engage and partner with third party vendors, IT
and other parties as required
- Lead and develop teams to ensure data governance
policies and practices are embedded throughout the institution
- Initiate programs that promoting data
culture and literacy
- Communicate and Promote the Value of Data Assets
Qualifications
- A clear understanding of the Authority’s mandate,
business systems and data management journey.
- Bachelor’s Degree (or equivalent) in Data science,
Information Management, Computer Science, Engineering, Math or a related
field
- Minimum of 3-5 years related experience in leading
strategies, designing approaches and understanding technologies for Data
Quality processes in large scale data management environments
- Strong knowledge of Data Quality improvement tools
such as Informatica IDQ, Global IDs, Harte Hanks Trillium, and IBM Quality
Stage
- Extensive experience with and success in managing
projects from inception to production rollout and support.
Relevant work experience
required
- At least 3-5 large scale data management and
governance or DW/EDW/BI implementation projects experience for large
institutions in the last 8 years (preferably as lead data architect).
Skills required
- Specialist knowledge of data governance Principles
and practices
- Understanding of the principles of IT security and
data protection Experience in project management
- Familiarity with Revenue collection practices and
policies
- A good understanding of project
management methodology
- Excellent communication and interpersonal
skills
- Ability to liaise with staff at all levels
across departments in KRA
- Strong analytical and problem solving skills
- Excellent writing skills, with the ability
to create clear requirements, specifications and documentation
- Strong ability to communicate information,
business process and system changes to both and a technical
and nontechnical audience
- Ability to work under pressure and manage
conflicting priorities
- Ability to work with technical and non technical
staff
- Ability to develop people, skills in coaching,
mentoring, and teaching on the job
- Skills at performance management, recognizing and
rewarding performance and identifying development needs
- Effectiveness in building trust, respect and cooperation
among teams
- Excellent problem solving skills to assist
in issue resolution.