About the Company

We are a global digital banking and AI-powered financial services institution operating across retail banking, institutional finance, digital assets, embedded finance, and cross-border payments. Serving over 60 million customers worldwide, our platform processes trillions in annual transaction volume across regulated markets in North America, Europe, the Middle East, and Asia-Pacific.

Our competitive advantage is rooted in data, real-time transaction intelligence, AI-powered fraud detection, advanced credit modeling, hyper-personalized customer experiences, and predictive financial analytics.

As regulatory scrutiny around data privacy, AI governance, and financial transparency intensifies, and as our institution expands into new digital asset classes and AI-native financial products, we are seeking a Chief Data Officer to define and execute a global data vision at enterprise scale.

This is not a data management role. This is an enterprise-wide transformation mandate shaping the future of intelligent banking.

Job Function

The Chief Data Officer will lead enterprise data strategy, governance, analytics transformation, AI enablement, and regulatory data compliance across all global markets. This executive will oversee data architecture, data science, advanced analytics, privacy frameworks, and monetization initiatives while embedding a data-first culture across the organization.

The CDO will transform data from an operational asset into a strategic revenue and risk-management advantage.

Essential Duties and Responsibilities

• Define and execute a global enterprise data strategy aligned with digital banking transformation

• Establish and enforce enterprise-wide data governance frameworks across multi-jurisdictional regulatory environments

• Oversee data architecture modernization, including cloud-native and real-time processing platforms

• Lead AI and machine learning integration into credit modeling, fraud detection, and risk management systems

• Drive advanced analytics initiatives to enhance customer personalization and revenue growth

• Develop data monetization strategies across embedded finance and ecosystem partnerships

• Ensure compliance with global data privacy regulations (GDPR, CCPA, regional banking regulations)

• Lead enterprise data quality, lineage, and integrity programs

• Oversee cybersecurity alignment related to data protection and resilience

• Build and lead a global data organization spanning data engineering, analytics, data science, and governance (300+ professionals)

• Develop executive dashboards and predictive insights for Board and C-suite reporting

• Establish ethical AI governance frameworks aligned with financial regulatory standards

• Guide enterprise adoption of next-generation analytics and automation technologies

Strategic Support

• Advise the CEO and Board on data-driven growth strategy and regulatory risk exposure

• Support global expansion into new banking markets through regulatory-compliant data infrastructure

• Align data strategy with enterprise M&A initiatives and post-acquisition integration

• Collaborate with the Chief Risk Officer and the Chief Technology Officer on the digital resilience strategy

• Shape institutional investor narrative around AI and data capabilities

• Drive enterprise-wide cultural transformation toward analytics-led decision making

Job Qualifications and Requirements

• 15+ years of progressive leadership in data, analytics, or digital transformation

• 8+ years in executive-level data leadership within financial services, fintech, or regulated industries

• Proven track record in building enterprise data architecture at a global scale

• Deep knowledge of AI/ML integration in financial risk and fraud environments

• Strong understanding of financial regulatory frameworks and data compliance requirements

• Experience managing large-scale global teams across multiple regions

• Demonstrated success leading enterprise cloud and data modernization initiatives

• Experience in a public company or IPO-stage environment preferred

• Advanced degree in Data Science, Computer Science, Engineering, Finance, or related field (PhD/Master’s preferred)

Personal Capabilities and Qualifications

• Strategic visionary with strong execution discipline

• Executive presence with Board-level communication capability

• Analytical thinker with commercial orientation

• High ethical standards in AI and data governance

• Strong cross-functional collaboration and influence skills

• Resilient decision-maker in highly regulated environments

• Change leadership mindset capable of driving enterprise transformation

• Global perspective with cultural intelligence

Working Conditions

• Hybrid executive model with global travel (25–35%)

• High-accountability leadership role tied to regulatory compliance and data performance metrics

• Frequent engagement with regulators, institutional investors, and executive leadership

• Exposure to complex, multi-jurisdictional financial environments

• Fast-paced digital transformation ecosystem

Compensation & Benefits

Total Executive Compensation Package: $355,000 – $430,000 USD

Executive Package Includes:

• Competitive base salary within stated range

• Performance-based annual bonus (up to 75% of base)

• Significant long-term equity and stock participation

• Comprehensive executive health and wellness benefits

• Retirement and deferred compensation plans

• Global mobility and relocation support

• Executive leadership coaching and advisory programs

• Generous PTO and executive leave structure

Why Join Us

• Lead data transformation at a global digital banking powerhouse

• Influence AI-driven financial innovation across regulated markets

• Shape ethical AI and data governance standards in financial services

• Directly impact trillions in transaction intelligence

• Competitive executive compensation aligned with enterprise impact

• Opportunity to build one of the most advanced financial data ecosystems globally