Role and Responsibilities:
Business/Department/Objectives:
- The role of AVP - Campaign - Retail Triggers Implementation (using Bigdata) reports into Implementation Head. The role will support our APAC business partners in Retail Banking Domain
- Candidate will play a solution architect role in migrating the traditional SAS based campaign delivery system to state of the art Platform on big data eco-system.
- Proven experience in creating robust delivery system covering the key objectives as automation, quality controls & governance
- The candidate should be able to build & implement strategy for delivering customer communications using decision engines
- Executing the plan for deploying analytical models to aid real time decision making
- Play Techno Functional role by providing technical solution to a business problem
- Monitoring the pulse of business keeping an eye on the huge data flow across multiple systems, flagging the production failures & recommending preventive measures
- Adoption of Visualization tool for monitoring the offers data for cross product offers sent to customers
- Understand the Business, independently manage end-to-end project communication with business partners, mentor junior analysts, lead by example etc. and display a proactive learning attitude
- We are looking for self-motivated individuals who are looking for a challenging career in big data ecosystems. The individual should be controls and process oriented with excellent technical and communication skills and excels in a high pressure, fast paced environment. The candidate must be able to work well in a team environment and leverage existing skill-sets in the team to achieve team goals
Core Responsibilities:
- Act as techno functional architect to implement campaigns on Big Data Platform to send right offer to right customers for multiple banking products like Cards, Loans and Retail etc.
- Suggest robust programming solutions using Pyspark/Python
- Integration of multiple data sources (including model scoring, offers, customers feedback, real time decision making - Basic understanding of Machine learning and Data Mining) into Big-data eco-systems for successful execution of campaigns
- Design & implement governance framework to support the banking audit & compliance needs
Day-to-Day Responsibilities:
- Strategise and implement robust Campaign Management Platform for New Development / EAP (Big data) User Story Implementation
- Adoption / Migration of traditional SAS based campaign delivery system to EAP/Big data Platform
- Interacting with Business Partners and Technology Teams, acting as a techno-functional expert to recommend optimum data management solutions
- Interact regularly with Partner leadership to set and manage expectations aligned to group capabilities and work to deepen existing relationships
- Execution and delivery of end to end solution for sending offers to the customers & capturing the response
- Ensure adherence to SLAs
- Process Automation and Enhancements
- Communication and Relationship: Independently manage end-to-end project updates and partner communication across the various levels in the organization. It is extremely critical to develop and maintain smooth relationship with partners across business units
- Presentation of results to business partners and COE senior management
Team Management :
- Manage and mentor a team of 4-5 information solutions analysts/vendors
- Coach all team members by sharing Business, Functional and Technical expertise
Education:
- Should have experience is leading large transformations on Big data Eco Systems
Experience:
Required :
- Minimum 8 years of relevant work experience in Solution Designing / Reporting within Banking / Financial Services / Consulting / Analytics Industry
- Experience in leading teams delivering on key business initiatives
- Effectively communicate strategic considerations with team, partners and senior management.
- People management experience mandatory
- Working experience in Visualization tools like Tableau/Cognos will be preferred.
- Very strong in Python/PySpark programming & Hadoop Systems
- Technical know-how preferred on - SAS, Tableau, VBA, CRM systems - like Salesforce etc.
Skills:
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