Director Artificial Intelligence

Scotiabank; Lima Metropolitana; On-site; PEN 320,000 - 520,000; Full time

Job summary

Scotiabank seeks a Director of AI to lead strategy, development, and deployment of AI solutions across the organization in Peru. You will drive intelligent automation to reduce manual work, boost efficiency, elevate customer experience, and enable data-driven decisions.

The role requires senior leadership, cross-functional coordination, and strong regulatory awareness. You will manage a diverse team of data scientists, ML engineers, and architects, align initiatives with risk and compliance

Qualifications

• Bachelor’s degree in a relevant field; graduate studies preferred.
• 10+ years technology experience with 5+ years leading AI initiatives.
• Experience in digital transformation and process automation using AI.
• Experience in financial or banking sector is valued.

Responsibilities

• Design and oversee AI strategy aligned with bank objectives.
• Identify automation opportunities across processes using AI.
• Lead multidisciplinary teams of data scientists and ML engineers.
• Evaluate and implement AI technologies including LMs and computer vision.
• Establish ROI metrics for AI projects.
• Ensure compliance with regulatory and ethical frameworks.

Skills

Leadership

Strategy development

Cross-functional collaboration

Influencing senior leaders

Data-driven decision making

Communication skills

Regulatory awareness

Change management

Education

Bachelor in Engineering, Computer Science, Mathematics, Statistics or related fields

Master’s or PhD in AI/Data Science or related areas

Tools

AWS, Azure, GCP

MLOps tools

ML frameworks (TensorFlow/PyTorch)

Job description

Purpose:

Lead the strategy, development, and implementation of artificial intelligence (AI) solutions across the organization, with the goal of transforming traditional operational processes into intelligent, efficient, and scalable workflows. The Director of AI will be responsible for significantly reducing man-hours dedicated to repetitive tasks through intelligent automation, enhancing operational efficiency, customer experience, and data-driven decision-making.

Accountabilities

• Design and execute the AI strategy aligned with the bank's objectives.
• Identify opportunities for automation and optimization of operational processes using AI, including document processing, customer service, risk analysis, regulatory compliance, among others.
• Lead multidisciplinary teams of data scientists, machine learning engineers, and solution architects.
• Evaluate, select, and implement AI technologies, including language models, computer vision, AI-powered RPA, and recommendation systems.
• Establish impact metrics and return on investment (ROI) for AI projects.
• Ensure compliance with ethical, legal, and privacy regulations in the use of data and AI.
• Collaborate with key departments (Operations, Risk, Compliance, Commercial, etc.) to identify high-impact use cases.
• Promote a data-driven innovation culture and foster internal training in AI.
• Oversee the full lifecycle of AI projects: from ideation to implementation and maintenance.
• Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
• Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

Education:

• Bachelor in Engineering, Computer Science, Mathematics, Statistics or related fields.
• Master’s or PhD in Artificial Intelligence, Data Science, or related areas is desirable.
• Minimum experience 10 years: in technology , with at least 5 years leading AI initiatives in complex corporate environments.
• Proven experience in digital transformation and process automation using AI.
• Experience in the financial or banking sector is highly valued.
• Strong communications skills (verbal and written) and interpersonal skills. Ability to deal effectively with all levels of the organization.
• Strong ability to strategically influence and persuade senior leaders. Strong ability to effectively perform in a complex, high change environment.
• Demonstrated leadership skills, independence and collaboration, with an ability to build strong cross-cultural and cross-divisional team relationships.
• Familiarity with regulatory and ethical frameworks applicable to AI in the financial sector
• Technical Knowledge:

-Proficiency in machine learning, deep learning, NLP, computer vision, and AI architectures.

-Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps tools.

• English advance level