Purpose Lead NSDC's Data & Analytics Office (HDAO) to establish a trusted, secure, and data-driven organization by defining the enterprise data strategy, governance framework, analytics capabilities, and data platforms. Ensure high-quality, compliant, and actionable data that supports policy formulation, digital transformation, operational excellence, and informed decision-making across NSDC and the Ministry of Skill Development & Entrepreneurship. Job Responsibilities 1. Data Strategy & Leadership • Develop and execute the enterprise Data & Analytics Strategy aligned with NSDC's digital and business objectives. • Drive data maturity, innovation, and data-driven decision-making across the organization. 2. Data Governance & Compliance • Establish and oversee enterprise data governance frameworks, policies, standards, stewardship, and metadata management. • Ensure compliance with applicable data privacy, security, and regulatory requirements, including the DPDP Act. 3. Data Architecture & Engineering • Lead the design and governance of enterprise data architecture, integration frameworks, data platforms, and engineering standards. • Ensure scalable, reliable, and efficient data pipelines and platforms that support enterprise analytics. 4. Data Quality & Master Data Management • Define and monitor enterprise data quality standards, master data governance, and observability practices. • Ensure data accuracy, consistency, completeness, and reliability across all critical data assets. 5. Analytics & Business Intelligence • Lead the development of enterprise analytics, business intelligence, reporting, and self-service analytics capabilities. • Deliver actionable insights that support strategic planning, operational performance, and government reporting. 6. Advanced Analytics & Data Products • Oversee advanced analytics, data science enablement, and enterprise data products that support AI, policy evaluation, and digital innovation. • Promote reusable, high-value data assets that improve organizational outcomes. 7. Stakeholder & Ministry Engagement • Partner with business leaders, technology teams, government stakeholders, and external agencies to enable effective data sharing, analytics, and policy support. • Serve as the primary data advisor for enterprise and Ministry-level initiatives. 8. Operational Excellence & Data Security • Drive continuous improvement in DataOps, automation, governance dashboards, data security, access management, and operational performance. • Ensure resilient, secure, and efficient data operations across the enterprise. 9. Leadership & Capability Development • Build and lead a high-performing Data & Analytics team by fostering technical excellence, innovation, collaboration, and a strong data culture. • Develop internal capabilities in data governance, engineering, analytics, and data literacy while reducing dependency on external vendors. Requirements Essential Qualification: • Bachelor’s degree in engineering, Computer Science or a related technical discipline from a recognised institution. Advanced degree desirable but not required if compensated by exceptional practical experience. • 10-15 years of progressive software engineering experience including at least 5 years in an engineering leadership role — Head of Engineering, VP Engineering, Principal Engineer, or equivalent — with accountability for production systems at significant user scale. The word "significant" here means platforms with real users, real incidents and real consequences for failures.