Director of Artificial Intelligence

Director of Artificial Intelligence (AI)Position OverviewA leading organization in the financial services and consumer finance industry is seeking an accomplished Director of Artificial Intelligence (AI) to spearhead its enterprise-wide AI strategy, transformation, and implementation.This executive-level position will be responsible for defining and executing the organization's AI vision, building scalable AI capabilities, and driving the adoption of advanced technologies across critical business functions, including Credit and Risk Management, Collections, Sales, Customer Experience, Operations, Finance, and Corporate Services.The successful candidate will provide strategic and technical leadership across Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), and Agentic AI. This individual will play a pivotal role in translating emerging AI technologies into practical business solutions that improve operational efficiency, strengthen decision-making, enhance customer experiences, and generate measurable business value.Key Responsibilities1. Enterprise AI Strategy & TransformationDevelop and execute the organization's enterprise-wide AI strategy, vision, and long-term transformation roadmap.Establish AI investment priorities and identify opportunities that deliver significant business value and competitive advantage.Lead the integration of AI capabilities across business operations, products, and customer-facing functions.Partner with executive leadership to ensure AI initiatives support overall corporate strategy and business objectives.Drive organizational readiness and adoption of AI-enabled processes and technologies.2. AI Solutions Development & Business EnablementIdentify, evaluate, and prioritize high-impact AI opportunities across business functions, including Credit Risk, Collections, Sales, Customer Acquisition, Customer Service, Operations, Marketing, and Finance.Oversee the development, deployment, and continuous improvement of AI-powered solutions addressing complex business challenges.Drive the application of predictive analytics, machine learning, Generative AI, and intelligent automation to improve business performance.Work closely with functional leaders to translate business requirements into scalable AI solutions.Establish performance metrics to measure the effectiveness, adoption, and business impact of AI initiatives.3. AI Technology, Platform & Architecture LeadershipProvide strategic oversight of the enterprise AI technology ecosystem, including cloud-based AI platforms, data infrastructure, and machine learning environments.Lead the development of scalable AI architecture and reusable technology components.Establish enterprise standards for MLOps, LLMOps, data pipelines, CI/CD, model deployment, monitoring, and observability.Evaluate and leverage emerging AI technologies and platforms, including Microsoft Azure, Databricks, and other relevant enterprise solutions.Ensure AI infrastructure meets requirements for scalability, security, reliability, performance, and cost optimization.4. Generative AI, LLM & Agentic AI InnovationLead the organization's adoption and implementation of Generative AI, Large Language Models, and Agentic AI technologies.Identify opportunities to develop AI-powered assistants, intelligent agents, personalized customer engagement solutions, and automated decision-support capabilities.Oversee the transition of AI prototypes and proof-of-concept initiatives into production-ready enterprise solutions.Drive continuous innovation in AI capabilities while ensuring solutions are practical, scalable, and aligned with business priorities.Establish frameworks for evaluating emerging AI technologies and accelerating their enterprise adoption.5. AI Governance, Risk & Regulatory ComplianceEstablish and oversee enterprise-wide AI governance frameworks and responsible AI practices.Ensure AI solutions comply with applicable regulatory requirements, data privacy standards, information security policies, and internal controls.Oversee model risk management, model validation, explainability, bias detection, and mitigation.Work closely with Risk, Compliance, Legal, Information Security, and Internal Audit teams to ensure appropriate AI oversight.Promote the ethical, transparent, secure, and responsible use of AI across the organization.6. Executive Leadership & Stakeholder ManagementServe as the organization's principal AI strategy leader and trusted advisor to senior executives.Build strong partnerships with business and technology leaders to accelerate AI adoption and transformation.Lead and develop multidisciplinary AI teams covering AI Engineering, Data Science, Machine Learning, AI Architecture, and related technology functions.Establish strategic technology collaborations and engage with external AI vendors, technology partners, and industry experts.Report AI portfolio performance, investment outcomes, and business value realization to executive leadership.Qualifications & ExperienceAt least 10 years of experience in technology leadership, with substantial experience in Artificial Intelligence, Machine Learning, Data Science, or enterprise technology transformation.Proven leadership experience in enterprise-scale AI strategy development and implementation.Strong preference for candidates with experience in Banking, Financial Services, FinTech, Digital Banking, Consumer Finance, or Lending.Demonstrated ability to lead AI initiatives across multiple business functions, from strategy and development through deployment and enterprise-wide adoption.Strong understanding of enterprise AI architecture, cloud-based AI platforms, and data engineering ecosystems.Hands-on strategic knowledge of Generative AI, LLMs, Agentic AI, MLOps, and LLMOps.Experience with enterprise cloud technologies, preferably Microsoft Azure and Databricks.Strong understanding of AI governance, model risk management, data privacy, regulatory compliance, and responsible AI frameworks.Proven ability to manage senior stakeholders, lead multidisciplinary technical teams, and influence enterprise-level business decisions.Demonstrated track record of translating AI investments into measurable operational and commercial results.The OpportunityThis is an opportunity for a forward-thinking AI executive to shape and lead the AI transformation agenda of an established financial services organization.The role offers significant enterprise-wide influence, direct engagement with senior leadership, and the opportunity to build and scale AI capabilities that will fundamentally transform how the organization operates, serves customers, and makes business decisions.Industry: Financial Services / Consumer Finance / Digital LendingWork Arrangement: Hybrid

Employment Type: Full-time