drjobs Chief Data and AI Officer CAIDO

Chief Data and AI Officer CAIDO

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1 Vacancy
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Job Location drjobs

Colombo - Sri Lanka

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Key Objectives:
  • Develop and implement a comprehensive enterprisewide data and AI strategy aligned with the banks overall business objectives.
  • Build and lead a worldclass data science and AI team attracting retaining and developing top talent.
  • Establish a robust data governance framework and infrastructure to ensure data quality security and compliance.
  • Drive the adoption of AI and machine learning across all business lines including retail banking wealth management investment banking risk management and overall internal operational efficiencies.
  • Drive AIpowered digital transformation initiatives across banking products services and operations to enhance customer experience improve operational efficiency and generate new revenue streams.
  • Foster a datadriven culture within the organization empowering employees with data insights and tools.
  • Collaborate with technology teams to ensure seamless integration of data and AI solutions into existing systems.
  • Stay abreast of the latest advancements in AI and data science and proactively identify opportunities for innovation.

Roles and Responsibilities:
  • Strategy & Vision Define and execute the banks data and AI vision roadmap and strategic priorities.
  • AI and Data Strategy Development & Define and implement the bank s AI and data strategy ensuring alignment with overall business objectives.
  • Drive AIpowered digital transformation initiatives across banking products services and operations.
  • Identify new revenue streams and operational efficiencies through AI machine learning (ML) and advanced analytics.
  • Collaborate with business leaders to identify opportunities for AI and datadriven solutions to improve customer experiences and operational efficiencies.
  • Champion AI and data initiatives ensuring they provide measurable business value and competitive differentiation.
  • Foster a datadriven culture enabling teams to make informed evidencebased decisions.
  • Establish and enforce enterprisewide data governance frameworks policies and best practices and standards.
  • Ensure compliance with regulatory requirements (e.g. GDPR Basel local banking regulations) related to AI data privacy and security.
  • Develop risk mitigation strategies to manage AI biases ethical concerns and operational risks.
  • Oversee the development and maintenance of a robust data and AI infrastructure.
  • Lead the adoption and implementation of AI/ML platforms data lakes and analytics tools.
  • Oversee the integration of AIpowered solutions with core banking systems and digital channels.
  • Drive cloudbased and onpremises data modernization initiatives to support realtime analytics and decisionmaking.
  • Build manage and mentor a highperforming team of data scientists engineers and analysts attracting and retaining top talent.
  • Partner with HR and business units to develop AI literacy and upskilling programs across the bank.
  • Build manage and mentor a highperforming team of data scientists engineers and analysts.
  • Foster an innovationdriven agile culture within the bank s AI and data functions.
  • Vendor Management Manage relationships with external data and AI vendors.
  • Oversee the budget for data and AI initiatives.
  • Communicate the value of data and AI to stakeholders across the organization position the bank at the top of the industry on its innovation and value to the stakeholders.

Key Performance Indicators (KPIs):
  • Business Impact Increased revenue reduced costs improved customer satisfaction and enhanced operational efficiency attributable to data and AI initiatives.
  • Data Quality Improved data accuracy completeness and consistency.
  • AI Adoption Number of AI solutions deployed across the bank and their utilization rates.
  • Team Performance Team growth employee satisfaction and retention rates.
  • Innovation Number of new datadriven products and services launched.
  • Compliance Adherence to data governance policies and regulatory requirements.
  • Return on Investment (ROI) Measurable return on investment for data and AI projects.


Requirements

  • Advanced degree (Masters or Ph.D. in Computer Science Data Science Statistics or a related field.
  • Extensive experience 10 years) in IT data science CXO position in technology with a proven track record of leading and delivering successful data and IT initiatives.
  • Deep understanding of machine learning algorithms statistical modeling and data visualization techniques.
  • Strong knowledge of data governance security and compliance regulations.
  • Experience in the financial services industry is highly preferred.
  • Excellent leadership communication and interpersonal skills.
  • Ability to influence and collaborate with senior executives and business stakeholders.
  • Strong analytical and problemsolving skills.
  • Passion for data and AI and its potential to transform the banking industry.


Advanced degree (Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Extensive experience 10+ years) in IT, data science, CXO position in technology, with a proven track record of leading and delivering successful data and IT initiatives. Deep understanding of machine learning algorithms, statistical modeling, and data visualization techniques. Strong knowledge of data governance, security, and compliance regulations. Experience in the financial services industry is highly preferred. Excellent leadership, communication, and interpersonal skills. Ability to influence and collaborate with senior executives and business stakeholders. Strong analytical and problem-solving skills. Passion for data and AI and its potential to transform the banking industry.

Employment Type

Full Time

Company Industry

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