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Banking Analytics Role:
About the role:
Key engagement responsibilities would be:
Strategy Development:
Collaborate with stakeholders to understand business objectives and develop strategic roadmaps for leveraging banking data, Gen AI, and analytical capabilities.
Define and prioritize initiatives to enhance banking automation and operational efficiency.
Technical Expertise:
Provide subject matter expertise in banking data management, including data acquisition, cleansing, integration, and governance.
Drive the adoption of advanced analytics techniques and machine learning algorithms to extract insights and drive decision-making.
Explore and implement innovative solutions leveraging Gen AI technologies to enhance customer experiences and optimize business processes.
Project Leadership:
Lead cross-functional teams in the design, development, and implementation of banking automation solutions and operational enhancements.
Manage project timelines, budgets, and resources to ensure successful delivery within scope and quality standards.
Serve as a mentor and coach to team members, fostering a culture of continuous learning and professional growth.
Client Engagement:
Build and maintain strong relationships with key stakeholders and Client, serving as a trusted advisor on banking data and Gen AI initiatives.
Proactively identify opportunities for additional value-added services and drive business development efforts to expand our footprint within the client organization.
Job Requirements:
Qualification/Skillset Required:
Deep understanding of banking data architecture, including data modeling, warehousing, and visualization tools.
Strong expertise in advanced analytics techniques, machine learning, and artificial intelligence.
Excellent communication and interpersonal skills, with the ability to effectively engage with senior executives and drive consensus across diverse stakeholders.
Australian banking industry experience preferred.
Open to relocate.
Locations: Bangalore/Gurgaon
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