Dynamic and experiencedTechnical Delivery Managerto lead the delivery of large-scale data and analytics programs within theretail banking and financial services domain. This role requires deep expertise indata warehousing, big data platforms, analytics solutions, and a strong understanding ofretail banking analyticsincludingcampaign management, marketing, credit processing, CRM, and sales & servicing.
Key Responsibilities:
- Lead end-to-end delivery of complex data and analytics project / programs across retail banking and financial services, ensuring alignment with business goals requirements.
- Manage large-scale data warehouse and datamart implementations using platforms such as Teradata, Hadoop, and Cloudera, with a focus on performance, scalability, and data quality.
- Collaborate with business analytics stakeholders in marketing, credit, CRM, and sales to translate strategic objectives into actionable technical solutions.
- Drive delivery of data solution to support customer analytics, campaign targeting, personalization, and sales performance to support business growth and customer engagement.
- Oversee the deployment of analytical models for customer segmentation, credit scoring, cross-sell/up-sell strategies and MIS reporting.
- Ensure robust data governance, metadata management, and data lineage tracking to support compliance and audit requirements.
- Implement data quality frameworks ensuring accuracy and consistency across data assets.
- Lead multi-track projects using a mix of Agile and Waterfall methodologies, ensuring timely delivery and stakeholder satisfaction.
- Manage cross-functional delivery teams, vendors, and offshore resources, fostering a culture of collaboration and continuous improvement.
- Provide technical leadership across ETL, reporting, big data, and machine learning platforms, ensuring best practices and architectural integrity.
- Domain Expertise:Strong functional knowledge of Retail Banking, Wholesale Banking, and Private Banking products and processes.
- Experience in delivering analytical solutions for campaign management, customer lifecycle marketing, credit risk analytics, and CRM integrations.
- Familiarity with decision management platforms such as SAS Viya and Adobe campaign, Adobe Experience Manager and Adobe analytics is a plus.
- Exposure to retail analytics use cases including store performance, customer loyalty, and digital engagement metrics.
- Technical Skills:Strong technical knowledge and/or platform knowledge and exposure to Data Warehouse & Big data tools for Information Management tools like,
- Hadoop languages & tools - Spark, Python, R, Pig, Hue, Impala, Hive, Hbase, Informatica IDL, BDM, Kafka, Flume, Machine Learning Algorithms
- RDBMS - Teradata, Oracle, NoSQL
- Analytics / Decision systems: SAS Viya, Adobe (Campaign, Experience Manager and Analytics)
- Cloudera suite
- ETL & Data governance tools - Informatica PC, DQ, MM
- Leadership & Communication:Over 10 years of experience in delivering enterprise-scale data and analytics solutions, with budgetary and strategic responsibility.
- Minimum 5 years of leadership experience managing diverse IT delivery teams.
- Excellent communication skills with both technical and non-technical stakeholders.
- Proven ability to lead defect triage, resolution, and reporting processes.
- Qualifications:Bachelor's degree in computer science, Engineering, or related field.
- Professional certifications in Agile or PMP are advantageous.
- Strong problem-solving, analytical thinking, and solution design capabilities.
- Self-motivated, results-driven, and a collaborative team player with a passion for learning and innovation.
