Job Description

Overview

This pivotal leadership role presents a unique opportunity to shape and execute an enterprise-wide strategy focused on emerging technologies and advanced analytics. The successful candidate will lead initiatives that integrate artificial intelligence (AI), machine learning (ML), and distributed ledger technologies into the organization’s broader operating model — enabling business efficiency, product and service innovation, and a differentiated experience for both employees and customers.

You’ll work cross-functionally to deliver high-impact solutions that drive automation, reduce costs, and inform smarter decision-making. If you’re passionate about delivering meaningful change through advanced technology and data science, this is a chance to lead from the front.

Responsibilities

• Lead the exploration, assessment, and implementation of emerging technologies to advance organizational capabilities.
• Develop a strategic roadmap for AI/ML, blockchain, and data science initiatives aligned with long-term business goals.
• Collaborate with internal business leaders to identify challenges and opportunities that can be addressed through advanced analytics.
• Guide the deployment of machine learning models and AI-powered tools that improve forecasting, personalization, automation, and operational intelligence.
• Evaluate and leverage AI capabilities embedded within existing third-party tools and platforms.
• Manage and mentor a high-performing team of engineers, data scientists, and architects to deliver scalable, production-grade solutions.
• Build and maintain a library of reusable solution patterns and frameworks for future innovation initiatives.
• Communicate emerging tech concepts, trends, and ROI to executive leadership in a compelling and strategic manner.
• Provide regular updates to executive stakeholders and board-level audiences regarding innovation progress, use cases, and outcomes.
• Represent the organization at conferences and industry events to stay current and build partnerships within the innovation ecosystem.
• Partner with affiliated entities to co-develop or align with existing data science, cloud, and automation tools.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s or Ph.D. preferred).
• 5+ years of experience in AI/ML, advanced analytics, or data science leadership roles — ideally in a financial, fintech, or capital markets environment.
• Strong foundation in machine learning algorithms, statistical modeling, and data strategy.
• Experience leading cross-functional technology and data teams from strategy to implementation.
• Deep understanding of cloud infrastructure and modern data platforms.
• Familiarity with blockchain, tokenization, or distributed ledger technologies is a plus.
• Strong communication and stakeholder engagement skills — able to translate complex technical work into strategic business value.
• A track record of innovation and the ability to drive measurable business impact through technology adoption.

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