Data analytics and decision sciences

• Lead design and deliver analytics solutions, create actionable business insights to address business questions, drive business decisions, and develop recommendations
• Lead design and delivery of data-driven use cases from conceptualization to implementation with team of data scientists and engineers
• Steer proof-of-concept to test feasibility and value in market, uncovering benefits for customers and the business with clear tangible impact
• Liaison with business sponsors to drive adoption and measure impact, and with technology and engineering leaders to ensure tool/platform readiness and deployment in production at scale
• Design and implement a data strategy to drive business decisions and growth, oversee the collection, storage, management, quality, and protection of data

Data governance

• Provide strategic and operational leadership for data governance framework/roadmap;
• Define data governance policies and standards, principles, metrics and processes
• Partner with internal teams to operationalize and manage data management policies, standards, practices, and processes across data domains
• Identify stakeholders for a data governance council, and establish roles and responsibilities (for governance leads, data owners, data stewards, and business stakeholders) to cover the entire data lifecycle
• Serve as a liaison between business and technology to ensure that data related business requirements to ensure data quality and protect sensitive data are well established

Knowledge management

• Architect the future of data analytics at bank, driving agile ways-of-working and improvements in development cycle time
• Ensure documentation of all key data artefacts and repositories (data domain map, data catalogue and models, source system mapping, data dictionaries, feature library, lineage flows)
• Drive development of assets across analytics use case lifecycle with proper documentation of analytical framework and models (in terms of codebase, technical run book, operations manual, model operations etc)
• Ensure discovery and availability of all data and analytics assets for reference and re-usability on a portal (or using tools like Confluence), visibility of progress across projects (e.gon Jira)
• Lead performance of tasks such as documenting process flows, challenges & issues, and target state