Chief Data Officer / Data Governance (Mumbai)

A Chief Data Officer (CDO) is responsible for developing and executing an organizational data strategy. Key highlights of the role are listed below (purely indicative and not limiting): Enterprise Data Strategy & Governance - Develop and lead the enterprise-wide data strategy in alignment with business priorities and long-term digital goals. - Define a prioritization framework to drive cross-functional data initiatives across the organization. - Collaborate with business units to identify data needs and translate them into strategic data initiatives. - Establish robust data governance frameworks, policies, and standards to ensure data quality, integrity, and accessibility. Data Privacy, Protection & Compliance - Collaborate with the CISO, Legal, Compliance, and Risk teams to ensure adherence to data protection and privacy regulations (RBI, SEBI, DPDP, etc.). - Lead the organizations data privacy program, including policy development and breach response protocols. - Oversee accurate and timely regulatory reporting based on validated and compliant data sources. Data Architecture & Management - Build and manage the data architecture and infrastructure, including data lakes, warehouses, and master data systems, GEP - Ensure secure, scalable, and effective data storage, access, and sharing across the enterprise. - Monitor and enforce compliance with internal data policies and external regulatory requirements. Analytics, BI & Advanced Use Cases - Drive adoption of advanced analytics (AI/ML) across customer lifecycle acquisition, credit underwriting, collections, fraud, and portfolio management. - Enable real-time dashboards and business intelligence reporting for operational and strategic decision-making. - Promote the use of analytics for customer segmentation, CLTV, and personalized engagement strategies. - Build scalable data architecture including data lakes, data warehouses, and a unified Single Customer View (SCV). Vendor & Third-Party Data Management - Partner with CIO for data architecture modernization and API integration across partners (AUA/KUA, credit bureaus), etc. - Periodically evaluate vendor platforms for data lineage, encryption, and audit capabilities. Cross-Functional Collaboration & Advisory - Act as a strategic advisor to business units on data-driven initiatives and prioritization. - Partner with internal stakeholders (Risk, IT, Product, Credit, Marketing, Operations, Compliance) to embed data into core processes and decision-making. - Establish and manage external data partnerships and co-develop data products where applicable. Leadership & Capability Building - Build and lead a high-performing data organization comprising data scientists, data engineers, analysts, and governance professionals. - Foster a data-driven culture by improving data literacy across functions and leadership teams. - Champion change management initiatives to support enterprise-wide data transformation. .