FVP Technical Delivery Manager - Data & Analytics, GMET

UOB•Phoenix, AZ

36d

About The Position

About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. Job Description Role Summary: Dynamic and experienced Technical Delivery Manager to lead the delivery of large-scale data and analytics programs within the retail banking and financial services domain. This role requires deep expertise in data warehousing, big data platforms, analytics solutions, and a strong understanding of retail banking analytics including campaign management, marketing, credit processing, CRM, and sales & servicing.

Requirements

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.
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
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.
Bachelor’s degree in computer science, Engineering, or related field.
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.

Nice To Haves

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.
Analytics / Decision systems: SAS Viya, Adobe (Campaign, Experience Manager and Analytics) Cloudera suite ETL & Data governance tools - Informatica PC, DQ, MM
Professional certifications in Agile or PMP are advantageous.

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.