AI Product Manager

JOB DESCRIPTION

The AI Product Manager will be responsible for defining, governing, and delivering AI-driven solutions across the bank under the AI Centre of Excellence. The role ensures that AI initiatives are business-led, value-focused, and compliant, moving systematically from ideation to production and scale.

This role acts as a bridge between business, analytics, data engineering, technology, and governance teams, ensuring clarity, alignment, and execution discipline across AI initiatives.

KEY RESPONSIBILITIES OF THE ROLE

• Create and maintain AI product roadmaps, backlogs, and delivery plans.
• Prioritize AI initiatives based on business value, feasibility, and risk considerations.
• Track and report business outcomes and realized value from AI solutions.
• Work with functional teams to identify high-impact AI use cases (Planning & Strategy).
• Work with business, risk, operations, and functional teams to identify needs (Stakeholder interactions).
• Support business teams during pilot and production rollouts (Internal Customer support).
• Capture feedback and drive continuous improvement of AI products (Customer centricity).
• Track adoption metrics to ensure the solution meets user needs.
• Translate business problems into clear AI problem statements and product requirements.
• Coordinate with data science, data engineering, and technology teams to ensure data readiness and feature availability.
• Ensure AI initiatives adhere to AI CoE governance, model risk management, and responsible AI frameworks (Compliance).
• Support model documentation, validation, approvals, and audit requirements (Process Management).
• Ensure timely delivery and compliance with internal SLAs.
• Identify high-impact AI use cases to drive organizational innovation.
• Drive continuous improvement of AI products through iterative learning.
• Collaborate across multidisciplinary teams (Data Science, Tech, Risk) to foster cross-functional knowledge sharing.
• Ensure the organization stays at the forefront of Responsible AI frameworks and evolving industry standards.

MINIMUM REQUIREMENTS OF KNOWLEDGE & SKILLS

Educational

Qualifications

• Bachelor's degree in Engineering, Technology, Management, or a related discipline.

Experience Range (Years and Core Experience Type)

• 2-4 years of experience in product management, analytics, AI, or digital transformation roles.
• Experience working in cross-functional, data-driven environments.
• Exposure to banking, financial services, or regulated industries is preferred.

Certifications

• NA/ Good to have

Functional Skills

• Strong conceptual understanding of AI and Machine Learning techniques (e.g., predictive models, classification, NLP conceptual level) and software engineering skills.
• Ability to translate business requirements into data, feature, and model specifications.
• Understanding of data pipelines, data quality, and feature engineering concepts.
• Familiarity with the AI / ML lifecycle, including development, validation, deployment, and monitoring.
• Awareness of AI governance, model risk management, and responsible AI principles.
• Working knowledge of Agile / Scrum product delivery methodologies.
• Strong documentation skill