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FVP Technical Delivery Manager - Data & Analytics, GMET

Singapore completa AI Solutions Lead
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Original posting on LinkedIn

Company: 1011 United Overseas Bank Ltd

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.

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.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference

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FAQ

Frequently asked questions

Who offers this AI Solutions Lead role in Singapore?

The role is posted by UOB from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

What type of role is it?

This is a ai solutions lead position on a completa basis in Singapore. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in Singapore?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new Singapore roles by email.

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