Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
Develop and implement data analysis techniques and analytics applications using Python, SQL and visualisation tools. Design analysis frameworks for product commercialisation and company operations. Define business and product metrics, track metric changes, identify key drivers and provide actionable recommendations.
Responsibilities:·Act as the Data Governance SME, working closely with Finance and key stakeholders across Data Management, Risk Management, and IT.·Drive data governance initiatives and ensure alignment with governance frameworks, regulatory requirements, and project objectives.·Execute data governance activities, including KDE identification, EUC criticality assessments, data lineage, data quality, and control implementation.·Identify and document data aggregation processes and support the implementation of data governance tools and solutions.· Apply industry best practices and experience from data governance and regulatory transformation programs.· Define project milestones, governance structures, and roles and responsibilities (R&R).·Develop practical implementation plans by aligning project methodologies with the bank’s operating model.·Collaborate closely with the BCBS239 program team to ensure alignment across workstreams and governance forums.·Coordinate with stakeholders to ensure compliance with project standards, methodologies, and reporting requirements.
Design, build, and maintain machine learning models and AI products that are deployed in production and create measurable value for players and the business