objectives.
field of data engineering, data analytics, data governance, data products, cloud, APIs and machine learning
ensure all outputs are in compliance with current governance and legislation. Job Responsibilities: Consult Knowledge Data Analysis and Interpretation Relevant governing body practises and guidelines Product trends Compliance Business consulting and facilitation Relevant Governance controls and regulatory knowledge Information ensure all outputs are in compliance with current governance and legislation. Job Responsibilities: Consult Knowledge Data Analysis and Interpretation Relevant governing body practises and guidelines Product trends Compliance
delivery of projects Establishing effective project governance structures to ensure that projects meet business
delivery of projects Establishing effective project governance structures to ensure that projects meet business
Analysis and Interpretation, Risk Management, Governance systems to work closely with the IT team on systems
Data Analysis. Relevant regulatory knowledge. Governance Risk and Controls Banking or Finance industry
data by applying the necessary framework/s and governance to whomever may require it (BI and advanced analytics) collaboration with Information Security, CISO and Data Governance Data Pipeline Build (Ingestion, Provisioning deliver business value. Data Quality and Data Governance: Ensure that reasonable data quality checks are
data by applying the necessary framework/s and governance to whomever may require it (BI and advanced analytics) collaboration with Information Security, CISO and Data Governance Data Pipeline Build (Ingestion, Provisioning deliver business value. Data Quality and Data Governance: Ensure that reasonable data quality checks are
prescribed quality (as defined by IT Standards & Governance) during all the phases of the SDLC (i.e., functional standards in partnership with Compliance and Governance teams. Provide documentation of enhancements