Deputy General Manager - Data & Analytics Officer

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

• 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.