Data Demand Management & Automation Lead Commercial Bank of Dubai

Principal Accountabilities:

Agent Automation

Copilot Agent Design & Development

• Architect and build Copilot Agents tailored to enterprise workflows, ensuring alignment with governance, compliance, and security standards.
• Configure Agent tool capabilities for multi-step reasoning, orchestration of tasks, and integration with internal data sources (SharePoint, EDMS, BI platforms).
• Develop modular prompts and reusable templates for common enterprise use cases (e.g., data demand triage, report rationalization, metadata validation).

Advanced Tool Utilization

• Implement deep-dive research workflows for agents, enabling automated retrieval and synthesis of internal and external knowledge.
• Optimize query strategies for accuracy, relevance, and compliance with data privacy policies.

Analyst Tool:

• Enable Copilot Agents to perform structured data analysis, generate insights, and produce dashboards or summaries.
• Integrate analytical outputs into governance processes (e.g., SLA tracking, demand trend analysis).

Integration & Automation

• Connect Copilot Agents with enterprise systems (SharePoint, EDMS, ticketing tools) to automate repetitive governance tasks.
• Ensure seamless interoperability with existing AI enablement frameworks and data governance platforms.

Quality Assurance & Testing

• Conduct rigorous testing of Copilot Agents for accuracy, reliability, and adherence to DSG policies.
• Implement monitoring dashboards for agent performance, error rates, and user adoption metrics.

Governance & Compliance

• Embed policy checks (metadata completeness, access rights, regulatory flags) into agent workflows.
• Maintain audit trails for all automated actions performed by Copilot Agents.

Continuous Improvement

• Analyze usage patterns and feedback to refine agent capabilities.
• Stay updated on Copilot feature releases and incorporate advanced functionalities (e.g., multi-agent collaboration, contextual memory).

Stakeholder Enablement

• Train business users and data stewards on interacting with Copilot Agents effectively.
• Document best practices and create playbooks for agent deployment and lifecycle management.

Innovation & Thought Leadership

• Identify new opportunities for Copilot-driven automation across productivity, governance and reporting domains.
• Champion AI adoption by showcasing measurable benefits (time saved, accuracy improvements, SLA compliance).

Data Demand

• Responsible for creating, implementing, and maintaining master and reference data management framework and strategy that aligns with the bank s goals and objectives.
• Stay current on emerging trends and technologies in data management and incorporate best practices into bank policies.
• Define and implement performance and quality assessment frameworks for Data Demand Management, including metrics, KPI, and other relevant indicators to ensure transparency and operational performance, such as continuous dashboards and reporting.
• Evaluate and implement strategies for resource scalability and flexibility to accommodate the bank s evolving data demands.
• Prepare comprehensive information packs for senior management, offering insights into the bank s data demand pipelines, data demand trends, and departmental performance.
• Collaborate with business units to prioritize data demand requests, aligning them with strategic objectives and ensuring efficient allocation of resources.
• Conduct regular reviews and audits of the data demand management processes to identify areas for improvement and implement necessary enhancements to optimize performance.
• Run the intake desk; validate business context, regulatory flags, and evidence; route to stewards/owners and BICC/engineering as required.
• Enforce the Demand Management guideline; monitor breaches; issue standardized responses; drive corrective actions with stewards/owners.
• Maintain the report repository and demand backlog hygiene; ensure proper metadata, lineage, and approval trail per DSG policies.
• Prepare Demand insights to the Data Governance Forum, present trends, risks, and actions.