Deputy General Manager - Data & Analytics Officer

National Skill Development Corporation; Delhi; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

National Skill Development Corporation (NSDC) is seeking a Deputy General Manager - Data & Analytics Officer to lead the Data & Analytics Office and define enterprise data strategy, governance, and analytics capabilities across NSDC and the Ministry of Skill Development & Entrepreneurship.

You will drive data maturity, design scalable data platforms, ensure privacy and regulatory compliance (DPDP Act), and deliver actionable insights for policy, digital transformation, and government reporting.

Qualifications

• 10–15 years of software engineering experience with at least 5 years in engineering leadership
• Experience managing production systems at significant user scale

Responsibilities

• 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.
• 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.
• 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.
• Define and monitor enterprise data quality standards, master data governance, and observability practices.
• Lead the development of enterprise analytics, BI, reporting, and self‑service analytics capabilities.
• Deliver actionable insights that support strategic planning, operational performance, and government reporting.
• Oversee advanced analytics, data science enablement, and enterprise data products that support AI and policy evaluation.
• Promote reusable, high‑value data assets that improve organizational outcomes.
• Partner with business leaders, technology teams, government stakeholders, and external agencies to enable data sharing, analytics, and policy support.
• Serve as the primary data advisor for enterprise and Ministry‑level initiatives.
• Drive continuous improvement in DataOps, automation, governance dashboards, data security, and access management.
• Build and lead a high‑performing Data & Analytics team by fostering technical excellence and data literacy.

Skills

data governance

data architecture

data quality

advanced analytics

leadership

stakeholder engagement

Education

Bachelor's in Engineering/CS

Tools

Data platforms

Job description

Deputy General Manager - Data & Analytics Officer

Job Description

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.

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

• 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.
• 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.