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Lead, Data Governance (India, China) (Bengaluru)

Standard Chartered Bank · Bangalore

📅 15/08/2026
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This job is with Standard Chartered Bank, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Job Summary This role could be based in India or China. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you select a country where the role is based Role Context As part of the Group Chief Data Office (CDO) team, the focus of the Enterprise Data Governance team is to design and oversee the implementation of the Group Data Governance Framework (DGF). This is a pivotal role in the Data Governance team for the (DGF, along with the Data Management Standards (DMSs) underneath the DGF. Thereafter the function oversees the implementation of Data Management processes and govern the corresponding artefacts, and correspondingly report the progress and trajectory in the Group's maturity of the Data Management practices. While the successful candidate is required to be proficient in data risk management, and at times supporting data risk management activities, the focus is on building up and hence ensuring we have a robust Data Governance practices and Data Management processes. Therefore, the successful candidate needs to be a Subject Matter Expert (SME) in Data Governance and Data Management, contributing to the development and implementation of a comprehensive Data Governance Framework. This role, and the Data Governance team, works alongside the Group CDO Data Risk Governance, and the Conduct & Controls (C&C;) teams. The Data Risk Governance team manages relevant governance forums and/or committee, and the interface with other such committees. The C&C; team manages Data Control Standards and Control Library for the first line (1LoD). Key Responsibilities Strategy Input into the Group's overall Data Strategy. Drive the initial development the DGF and subsequently the continuous and iterative improvement cycles, by incorporating industry best practices. Drive and support definition of DMSs, incorporating industry best practices, and to align with the organization's data strategy. (note that these can be in the form of a lower seniority documentation such as guidelines and procedures) Business Drive the implementation of the DGF across the Group by: Align Data Governance initiatives with business goals through the network of Group CDO and Business and Functions (B&F;) Data Management teams. Lead the effort in the building up of Data Management capabilities both across the Bank and centrally within Group CDO, by establishing processes in producing data management outcome metrics, such Data Quality reports, Data Access exception reports and ensuring their regularity and smooth running. Engage with key stakeholders across the organization to promote the adoption of DGF, DMSs. Act with entrepreneurial mindset in driving the progress in Data Governance between the Group CDO and other departments to drive Data Governance initiatives forward. Process (Continuous improvement and innovation) Stay abreast of industry best practices and emerging trends inn Data Governance and Data Management. Continuously evaluate and improve Group-wide Data Governance processes to enhance effectiveness and organizational standards, Propose and lead initiatives to enhance the organization's Data Management capabilities and maturity over time. Advisory & Technical Oversight Provide active SME advice on Data Management to network of Data Management teams (Data Owners, Data Stewards, etc) on the relevant DM standards, methods, tools, applications, and processes. Promote the development and improvement of data platforms within and for the network of Data Management teams. Facilitate knowledge sharing of available technology within the Group and in the industry to the network of Data Management teams. Promote data literacy and drive the adoption of Data tools and practices across the network of Data Management teams. Support Data Risk Governance and C&C; teams (supporting some and/or all of below) Conduct risk assessments of internal data and privacy management processes and controls, Lead internal reviews to ensure compliance with internal policies, standards, and regulatory requirements, Support design and periodic reviews of department's risk management guidelines, Support stakeholders in defining remediation actions to address identified deficiencies, Ensure internal controls are aligned with the organization's risk management framework and industry best practices, Support design Business Intelligence (BI) and reporting solutions, Drive global efforts to automate and streamline risk management processes across the organization, Drive initiatives to educate and promote risk management awareness and benefits across the organization. Leadership, People & Talent: Collaborate with cross functional teams and within network of Data .
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