Chief Data Officer (CDO)

Job Title: Chief Data Officer (CDO)
Role Summary

The Chief Data Officer is responsible for defining and executing the enterprise data strategy, ensuring data is treated as a strategic asset to drive decision-making, innovation, and business growth. This role oversees data governance, data architecture, analytics, AI/ML initiatives, and regulatory compliance related to data.
Key Responsibilities
1. Data Strategy & Leadership

- Define and execute enterprise-wide data strategy aligned with business objectives

- Establish data as a core asset for competitive advantage and innovation

- Advise executive leadership on data-driven opportunities and risks

2. Data Governance & Quality

- Establish data governance frameworks, policies, and standards

- Ensure data quality, integrity, lineage, and ownership across the organization

- Implement master data management (MDM) practices

3. Data Architecture & Platforms

- Oversee design and implementation of modern data platforms (data lakes, warehouses, lakehouse)

- Ensure scalability, performance, and accessibility of data systems

- Drive integration across enterprise systems

4. Analytics, BI & AI/ML

- Lead advanced analytics, business intelligence, and AI/ML initiatives

- Enable self-service analytics and data democratization

- Deliver insights that drive business performance and innovation

5. Data Privacy, Security & Compliance

- Ensure compliance with data protection regulations such as GDPR , CCPA, and industry standards

- Partner with security teams to safeguard sensitive data

- Manage data risk, ethics, and responsible AI practices

6. Data Monetization & Value Creation

- Identify opportunities to monetize data and create new revenue streams

- Optimize data usage across business units

- Measure and track ROI of data initiatives

7. Culture, Talent & Enablement

- Build and lead high-performing data and analytics teams

- Promote a data-driven culture across the organization

- Upskill business users on data literacy and tools

Qualifications & Experience

- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field

- 15–20+ years of experience in data, analytics, or technology leadership roles

- Proven track record of building and scaling enterprise data platforms

- Strong expertise in data governance, analytics, AI/ML, and data architecture

- Experience working with cross-functional executive teams

Key Competencies

- Strategic thinking and data-driven mindset

- Strong technical and analytical expertise

- Leadership and stakeholder influence

- Governance, risk, and compliance awareness

- Innovation and problem-solving capability

Originally posted on Himalayas