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