Executive: Data Management and Analytics

3 days ago

Johannesburg, South Africa Express Employment Professionals Full time

**JOB AT A GLANCE**:
Our client is a leading telecommunications group that is aggressively growing across South Africa and the African continent is looking for an Executive: Data Management and Analytics

The main purpose of the position is to develops strategies and frameworks for, as well as guide and

oversee data preparation & exploration, the building of machine learning models, analyzing, and

reporting, deploying solutions, and the maintenance of them thereafter. The position is accountable

for the development and use of data systems by implementing efficient ways to organize, store and

analyze data with attention to security and confidentiality across the Organization, while maintaining data governance and processes, in accordance with all statutory law. The focus will be on, Big data, Machine

Learning, Data visualization, Analytics.

Current technologies include AWS, Informatica stack; Power center (ETL), DQ, EDC (metadata),

Ms SQL, Power BI (on prem), MS SSAS, SSIS

**RESPONSIBILITIES**:
**ACCOUNTABILITIES & RESPONSIBILITIES (KEY PERFORMANCE AREAS & TASKS)**:
**Create and enforce strategies and policies for effective data analytics and information management**
- Take ownership and drive the Data Analytics and Information Management Strategy across the Organization
- Develop Data Management programs based on the strategy and the DAMA framework
- Design Data Management policies and workshop these policies for approval by the Data Governance Council
- Ensure adherence to policies and manage any policy exceptions
- Train and support others in the daily use of data systems and ensure adherence to legal and company standards

**KEY PERFORMANCE INDICATORS**:
**Measurable**
- Meeting deadlines requirements
- Business policy adherence measurement

**Data Analytics**
- Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming
- Collaborate with other tech teams to implement advanced analytics algorithms that exploit datasets for statistical analysis, inference, prediction, clustering and machine learning
- Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power, through a reporting interface e.g., Quick sight
- Help to continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

**Measurables**
- Delivery of key dashboards and reports required
- Uptime and quality of data models within dashboards and reports

**Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data**
- Determine data that needs to be collected using data modelling
- Execute data quality initiatives where data quality measures are negative
- Determine resources and systems required for data collection
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies, including Glue
- Design and build out of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala
- Collaborate and work with teams on building out data sets for object recognition and ML models
- Create and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena
- Work closely with team members to drive real-time model implementations for monitoring, alerting and error handing of systems
- Establish data collection standards via the data model
- Maintain and update the Data Quality measurement framework when re-quired
- Ensure data quality standards are met across the business units and track data quality errors
- Work closely with Data Stewards for data quality correction

**Measurables**
- Data Quality measure is within acceptable range
- Data Quality issues resolved within defined KPI periods

**Establish rules and procedures for data sharing with upper management, external stakeholders etc**
- Determine reporting requirements across the business and develop reports where required
- Understand and assist in database and data store creation
- Develop ETL and/or ELT standards and processes for data loading into stores
- Assist with and execute on reports and data extraction when needed

**Measurables**
- Business reports are more accessible and accurate
- Business reports are produced within defined KPI periods

**Manage the Data Management Centre of Excellence**
- Establish central accountability and chart the direction of the CoE based on the Data Strategy
- Consolidate reporting outputs across the business
- Manage and allocate the budget required to fulfil projects as well as the running of the CoE
- Align data and systems infrastructure through artefacts such as data flow diagrams and enterprise relationship diagrams
- Defining current known data gaps and challenges
- Implementation of projects to address data gaps and cha

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