Key Responsibilities
Ø Lead and facilitate workshops and cross-functional meetings to gather business requirements and define solution approaches.
Ø Analyze current business processes to identify AI integration opportunities.
Ø Collaborate with business sponsors, product managers, data scientist, technology partners to realize business needs into actual solution.
Ø Conduct data analysis to support decision-making and validate AI model readiness.
Ø Familiar with Associative data modeling, predictive & text analytics, classification, data exploration, summarization.
Ø Work with relevant stakeholders to develop use case benefits explanation, business requirement documents (BRDs), process maps, data dictionaries, client journey, user stories..etc
Ø Mentor and manage junior analysts, fostering a culture of continuous improvement and innovation.
Ø Collect, cleanse, and validate data from various sources to ensure accuracy and reliability.
Ø Perform exploratory data analysis to uncover trends, patterns, and anomalies.
Ø Create visualizations and dashboards to communicate insights effectively to stakeholders.
Ø Derive actionable insights to support strategic decision-making and AI model development.
Ø Collaborate with data scientists and IT teams to ensure data readiness and integration.
Ø Coordinate with cross-functional teams to ensure alignment and timely delivery.
Ø Prepare and present status updates, dashboards, and executive summaries to stakeholders.
Ø Provide thought leadership and innovative strategy for wholesale banking (across Payments, Trade, Credit Management and Operational Productivity)
Deliverables
Ø Process Flow Diagrams and Maps
Ø AI Readiness Assessments
Ø Data Dictionaries and Analysis Reports
Ø User Stories and Acceptance Criteria
Ø Project Plans, Risk Logs, and Status Reports
Tools & Platforms
Ø SAP, Oracle, SQL, Python
Ø Jira, Confluence, Atlassian Intelligence
Ø FIRCOSOFT, ACTIMIZE, MOODY’S
Ø CrewAI, Amplitude,Power BI
