Data Demand Management & Automation Lead

We are seeking an experienced Lead in Data Demand Management & Automation Lead to drive critical elements of the data strategy. This role involves administering role-based access to data across the bank. The Lead educates and supports data stewards and users, liaises with vendors for issue resolution, and communicates updates to stakeholders. This person is responsible for demand management and overseeing, collating, prioritizing data and reporting demand across the bank. This person will enable data-driven decision-making processes and facilitate overall effective data governance in the bank.

Critically, and this aspect of the role is expected to grow as Demand Management becomes automated and DQ remediation becomes BAU, the role holder is expected to have the ability to design/build lightweight Copilot automations that enforce data governance controls, improve productivity across various functions in the bank, and democratize the implementation of agents—while formally reporting under Data Governance

o Architect and build Copilot Agents tailored to enterprise workflows, ensuring alignment with governance, compliance, and security standards.

o Configure Agent tool capabilities for multi-step reasoning, orchestration of tasks, and integration with internal data sources (SharePoint, EDMS, BI platforms).

o Develop modular prompts and reusable templates for common enterprise use cases (e.g., data demand triage, report rationalization, metadata validation).

o Implement deep-dive research workflows for agents, enabling automated retrieval and synthesis of internal and external knowledge.

o Optimize query strategies for accuracy, relevance, and compliance with data privacy policies.

o Enable Copilot Agents to perform structured data analysis, generate insights, and produce dashboards or summaries.

o Integrate analytical outputs into governance processes (e.g., SLA tracking, demand trend analysis).

Connect Copilot Agents with enterprise systems (SharePoint, EDMS, ticketing tools) to automate repetitive governance tasks.

o Ensure seamless interoperability with existing AI enablement frameworks and data governance platforms.

o Conduct rigorous testing of Copilot Agents for accuracy, reliability, and adherence to DSG policies.

o Implement monitoring dashboards for agent performance, error rates, and user adoption metrics.

o Embed policy checks (metadata completeness, access rights, regulatory flags) into agent workflows.

o Maintain audit trails for all automated actions performed by Copilot Agents.

o Analyze usage patterns and feedback to refine agent capabilities.

o Stay updated on Copilot feature releases and incorporate advanced functionalities (e.g., multi-agent collaboration, contextual memory).

o Train business users and data stewards on interacting with Copilot Agents effectively.

o Document best practices and create playbooks for agent deployment and lifecycle management.

o Identify new opportunities for Copilot-driven automation across productivity, governance and reporting domains.

o Champion AI adoption by showcasing measurable benefits (time saved, accuracy improvements, SLA compliance).

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.

7–10 years in data governance/BI operations; hands‑on with intake/triage, metadata, lineage, and reporting.

Experience building Copilot or prompt‑based automations

Strong stakeholder management across stewards, BICC, comfort presenting at governance forums

5+ years of banking or financial services experience.

Proficiency in metadata technologies, data cataloging tools, and a strong understanding of data modeling for banks.

Excellent communication and relationship-building skills, with a high level of business acumen in banking industry practices.

Knowledge of regulatory requirements related to data and demand management.

Knowledge of at least 1 data cataloging tool with practical experience in overseeing and implementing it for a large organization preferably in the banking industry.

Hands-on proficiency in at least one of these tools: Microsoft Azure Purview, Informatica IDQ, Informatica IICS, or Collibra.