You will be part of the Data team in NTUC Income. In this role, you will partner the business stakeholders to spearhead the design, development and delivery of IT initiatives that digitally transform Income's Data Team. You will implement and support technology that enables Income to become Data Driven Organization and engage our customers digitally.
You are responsible to provide technology leadership and direction across the full lifecycle of data projects from planning through implementation. You will also be expected to stay in touch with latest technology trends, as well as having strong opinions about how data should be engineered.
As a technology guru, provide hands-on technical leadership and guidance to the development teams under your charge to design and develop new software solutions
Provides strategic vision, architecture, and roadmap for Enterprise Data Warehouse platform aligned to business and technological requirements across all platform technologies.
Evaluate and implement new technologies that are capable to digitally transform Insurance Operations processes, including Data Lake/EDW/ODS, Artificial Intelligence / Machine Learning.
Upholds Security and Compliance protocols for data exchange Collaborates with leaders to understand interoperability needs and delivers value-added solutions.
Responsible for timely delivery of Application Services specifically in the Financial Data Warehouse and reporting space
Accountable for meeting the Application Services Optimization targets agreed with the customer
Support with new Application Services proposals, drive pursuits and execution of contracts
Lead engagement planning and budgeting
Leads team change management that supports the overall business strategy Identifies and implements technical and procedural solutions aligned with operating objectives.
Lead the team in resolving technical debts and defects to ensure that the solution remains reliable and robust
Perform system analysis, design and code reviews to ensure solutions are maintainable, secure and release with good quality
Ensure application designs adhered to architectural roadmap, including implementation of DevSecOps, automated testing, Single Source truth, Data Marts and Data As Service in Income's hybrid cloud environment
Mobilize and manage both BAU & enhancement team
Ensure that the service performance meets or exceeds established goals / SLAs
Manage customer expectations and escalations
Ensure ETL/ELT development adhered to Income's software development life cycle process (Waterfall and Agile) and standards
Develop metrics to track development competencies by skills set and applications. Work with team to continuously make improvements and achieve higher competencies
Responsible for the Business Data Glossary, Dictionary, Classification and Lineage
Manage Data Quality rules, measures and identify gaps and implement a remediation plan
Govern Referential Data and mapping across systems, Data Lake and Multi Cloud/ Hybrid Cloud
Responsible for Data Extraction approval process and automating this securely with Data Governance Policies.
Responsible for maintaining Data Privacy, Protection and Security standards and controls
Regular Dashboard Reporting on Data Quality, Maturity and KPIs
Manage Data Board and present in leadership forums on data policy & standards
Degree from a recognized university in Information Technology, Software Engineering or equivalent
Data & ETL Tools Certified Solutions Architect is an added advantage
Certified Project Management Professional or Scrum Master is an added advantage
Hands-on application design, development and implementation experience
Experience leading a team of engineers to deliver application solutions in a hybrid cloud environment
Experience in delivering applications using both Waterfall and Agile Scrum methodologies
Knowledge of core insurance data model is an advantage
Strong interpersonal skills including mentoring technical team and team building
Strong advocate of standards and challenge status quo with new and emerging technology to address new business challenges.
Excellent oral and written communications skills and experience interacting with both business and IT individuals at all levels including the executive level
Experience with delivering large scale enterprise applications using big data open source solutions such as SSIS, Hadoop, Spark, Kafka and Elastic Search
Deep technical understanding to interact with a cross functional team of architect, engineers in different geographic locations
Experience defining, owning and managing roadmap for delivering enterprise solutions
Knowledge of ETL/ELT processes and best practices, data quality, data integration using tools
Knowledge of SQL and usage of one or more of these DBs: Oracle, SQL Server, MySQL
Experience or knowledge of non-relational DBs eg: Hbase
Knowledge of Insurance domain and industry standard interoperability standards and protocols (HL7, X12, IHE, EDI, SSIS, etc.)
Strong in Data management, governance, stewardship, quality, privacy and protection with large-scale data or project management and oversight experience
Experience in SQL/Python/Spark/Scala technology, data visualization tools (Tableau), notions of Entity-Relationship Databases and data models (star schema, data vault, etc)
Integration of Business Rules Engines, AI / ML models & Business Process Management into applications
Understand OWASP Top 10 vulnerabilities and working experience in developing secure codes