JOB SEEKERS
EMPLOYERS
JOBS QUICK-SEARCH
.net
.net developer
a+
abap
account manager
accountant
admin
administrator
analyst
architect
bookkeeper
business analyst
business intelligence
c#
call centre
ccna
cisco
cloud
cobol
consultant
delphi
desktop
desktop support
developer
engineer
finance
graduate
graduates
helpdesk
internship
it manager
it support
it technician
java
java developer
junior developer
legal
linux
manager
marketing
mcse
network
network administrator
oracle
personal assistant
php
php developer
programmer
project
project administrator
project manager
receptionist
sales
sap
secretary
security
sql
support
technical support
technician
test analyst
tester
web developer
NEWSLETTER
FOLLOW US
Provincial Data Manager
Job Ref
274731
Job Type
Permanent
Employer Type
Company
Date Added
7 Aug 2017
Expiry Date 4 Sep 2017
Expiry Date 4 Sep 2017
* There have been 3 applications to this job.
* This job has been viewed 2485 times.
Employer:
Standard Bank
Location:
Kwazulu-Natal
Salary:
Market related
Benefits:
Role details:
Purpose of the job
- To act as subject matter expert on all data and information matters for the relevant geography.
- To ensure visibility of Information Management with Provincial leadership, and executive sponsorship of related initiatives.
- To mature the information management discipline within the relevant geography with the support of the Information Management Business Unit, Heads of Data Domains, CIA, Measurement teams.
- To ensure the successful adoption of #HealthyData principles.
- To actively drive data quality initiatives within geographical area.
- To be actively sift through the business data related incidents and help prioritise these for remediation with the Information Management team.
- To understand the commercial aspirations and goals of the province and formulate a plan to enable the province to achieve its objectives with the assistance of the Provincial Data Lead.
- To understand the end to end data lineage, metadata and business rules of the business and ensure where there are gaps they are addressed effectively.
- To facilitate process alignment on key data issue that relate to onboarding, maintenance and servicing, marketing and regulatory requirements.
- - - - - - - - - - - - - -
Competencies Minimum qualifications:
- IT / Computer Science Degree
- Business Commerce
- 3-5 years Data management and so on relevant experience
- 2-4 years General Banking experience knowledge
Experience required:
- IT / Computer Science Degree
- Business Commerce
- 3-4 years Data management and so on relevant experience
- 1-2 years General Banking experience knowledge
Competencies:
- Analytical Skills
- Data Quality Management Skills
- Stakeholder Management
- Information Management Capabilities
- Developing Strategies
- Following procedures
- Root Cause Analysis and Problem Solving
- Project Management Principles
- Risk Management
- Driving delivery of results
- Leading courageously
Responsibilities:
- Build and manage the provincially based data officers to embed the information management discipline.
- Ensures effective implementation of information standards and policies in the relevant geography using the approved tools and methodologies to ultimately improve the adoption of Information Management.
- Establish appropriate data governance forums within geographical area.
- Applies Information Lifecycle Management principles to their respective geographies.
- Conducts a gap analysis between the data issues raised and possible solutions and provides recommendations to the relevant Information Management Forum.
- Monitors and manages the quality of data and information by identifying errors (inaccuracy, incompleteness) and resolves such through data remediation and change processes.
- Actively drive data quality initiatives within geographical area.
- Matures the level of information management within responsible area by ensuring executive visibility and ensures alignment to business goals and measures.
- Communicates and drives adoption of #HealthyData principles.
Key outputs
Key relationships:
- PESCO
- IM
- Branches/Centres
- Area Managers
- IT
Enabling areas:
a. OSS
b. GOSS
c. COSS
d. CSU
- Operational Risk
- Compliance
- Regulatory Reporting
Key outputs:
- Prioritisation of the key provincial data challenges.
- Drive the resolution of the prioritized business challenges.
- Locally relevant dashboards and reports
- Pexco monthly submission on IM
- RBB & IM monthly submission on provincial performance
Key performance measures:
- Increased Data Quality for all the provinces.
- Revenue generation enablement.
- Cost reduction enablement.
- Stakeholder satisfaction
- Time to resolve data issues should reduce.
Challenges faced:
- Setting standards on an inconsistent data is required. We need a baseline on each of the different types of data because we don’t know what good enough is. A new standard must be created.
- Ensuring that the customer data masterfile actually is the master and ensures that it then updates all upstream and downstream systems accordingly. This must be for the entire PBBSA.
- This is a complex environment with multiple participants involved simultaneously with frequently unclear boundaries of scope.
- This individual must define what data quality means for the provinces based on the local context and to articulate to what the quality standards are.
- Manage the complex technical and non-technical data related challenges.
Decision making
Key decisions:
- Makes decisions regarding operational prioritisation of data quality matters aligned to the data remediation strategy for provinces.
- Decide on the validity of legal and reporting business requirements in order to ensure adherence to Compliance.
- To take-on escalation, do the necessary root cause and resolve where possible. If they cannot resolve then escalate the matter to the Head of the Data Quality Management.
Governance / forums:
- PEXCO
- Provincial Business Review
- Data Lab Steerco as a member of the steerco to report on the overall remediation efforts for provinces
- Participate in the Data Stewards Committee. This is to ensure that there is alignment on the priority provincial data challenges.