Data Science Manager

Position Title: AI & Data Science Delivery

Job Level: AI-ML Manager/Sr Manager

Reports to: AI & Data Science Delivery Executive Manager

Department: AI and Data

Function (Group): Digital

Prepared / Revised on: 2025

Job Purpose
Provides leadership and support in using advanced analytics to derive insights, automate business actions, and enhance decision-making quality and speed across business verticals. Coordinates AI and Advanced Analytics solutions addressing strategic opportunities and challenges while managing multiple analytics projects simultaneously.

Key Accountabilities And Detailed Tasks
Strategy

• Define value realization KPIs aligned with business stakeholders and the Strategy Team.

Collaboration

• Scope and solicit AI & Analytics use cases in collaboration with business/support teams.

MIS Reporting

• Monitor ROI and report on value realization KPIs during pilots and post-production phases.
• Prepare monthly departmental reports to capture progress, performance, and quality for implemented processes.

Knowledge and Opportunity

• Perform prototyping and deliver AI & Analytics solutions.
• Investigate next-generation AI/Analytics methodologies, technologies, and frameworks.
• Support team members in ideating and implementing AI & Analytics solutions.

Management

• Manage the pipeline, prioritization, and delivery of AI and Analytics solutions.
• Oversee accurate reporting on strategic planning for management, including conclusions and recommendations.

Policies, Processes & Procedures

• Implement approved sectorial policies, processes, and procedures.
• Provide instructions to subordinates, ensuring adherence to controlled processes.

Anti-fraud Prevention

• Adhere to all regulations and control functions to uphold governance, audit, risk, compliance, and anti-fraud measures.

Frameworks, Boundaries, and Decision-Making Authority
Operate within established bank strategies and guidelines under top management direction. Exercise delegated authority to achieve agreed business objectives.

Minimum Qualifications
Qualifications, Experience, and Skills

• Master's or Bachelor's degree in Computer Science or a related technical field.

Minimum Experience

• 7-10 years of progressive experience in AI and Data (preferably with some banking experience).

Job-Specific Skills

• Expertise in global AI, Analytics, and Data management standards.
• Negotiation skills for vendor management.
• Analytical and logical thinking.
• Strong command of English.
• Project and time management skills.

Behavioral Competency Framework
Customer Focus
Building strong relationships and delivering customer-centric solutions.

Decision Quality
Making timely and effective decisions to advance organizational goals.

Action-Oriented
Approaching new opportunities and challenges with urgency and enthusiasm.

Plans and Aligns
Effectively planning and prioritizing work aligned with organizational goals.

Collaborates
Fostering partnerships and teamwork to meet shared objectives.

Develops Talent
Investing in people to achieve individual and organizational goals.

Instills Trust
Building trust through honesty, integrity, and authenticity.

Manages Ambiguity
Operating effectively in uncertain or ambiguous situations.

Skills: negotiation, advanced, vendor coordination, project management, data management, ai, management, decision making, leadership, data science, bfsi, customer focus, data, artificial intelligence, analytics, collaboration, global ai, analytical thinking.