Delivery Manager, Artificial Intelligence and Data Analytics Delivery Manager, Artificial Intelligence and Data  …

NTUC Income Insurance Co-operative Ltd
in Singapore
Permanent, Full time
Last application, 26 Nov 20
Competitive
NTUC Income Insurance Co-operative Ltd
in Singapore
Permanent, Full time
Last application, 26 Nov 20
Competitive
NTUC Income Insurance Co-operative Ltd
Delivery Manager, Artificial Intelligence and Data Analytics
As an Artificial Intelligence and Data Analytics Delivery Manager, you will focus on delivering solutions based on business requirements and expand Data/AI/Analytics advisory and delivery capabilities within Income. You will support engagements by providing strategic and tactical guidance to drive positive business outcomes. You must possess exceptional analytical, interpersonal and creative thinking capabilities. You will need to be entrepreneurial, enterprising and personable, possessing leadership qualities that allows you to assume a critical role in the IT Delivery roadmap with an ability to scale over time.

PRIMARY RESPONSIBILITIES

  • Work with end-users to understand Data and Reporting requirements and manage team to conceptualize, design and deliver solution
  • Support the delivery of a broad range of Data, Analytics, AI related strategy and data governance
  • Implement AIDA techniques used to achieve project objectives (e.g. AI, machine learning, predictive /prescriptive analytics, deep learning /neural networks, natural language processing /text analytics)
  • Lead the design and delivery of Data/ Business Intelligence/ AI and automation solutions advisory engagements involving strategy, roadmap and longer-term COE models (Operating models)
  • Building training plan for re-skilling current workforce for data driven organization
  • Lead strategy engagements with business to create clear and actionable strategic roadmaps and supporting business cases, while also prioritizing quick wins with near-term measurable KPI
  • Deliver Big Data ELT solutions including data extraction, data transformation, cleansing, data integration and data management
  • Deliver Hadoop/Spark technology & real time streaming based on Kafka. You will also be responsible for managing data security, access control, data lineage etc.
  • Deliver an end-to-end proof-of-concept using latest advance analytics methods & technologies which can be demonstrated to potential business users. You will be responsible for operationalizing analytics models & assist data scientist in measuring the model performance
  • Develop and maintain high-performance, scalable utilities to support technology research in data analytics. Optimize data processing frameworks and systems for better efficiency and maintainability
  • Ensure the data governance which include data definition, accessibility, integrity and security
  • Develop a federation approach to data storage which includes transaction data, reporting services, data warehouse and big data storage. Ability to augment with new sources of data including social, google analytics, IoT and real-time data. Contribute to the establishment and maintenance of cloud computing platform and big data services
  • Serve as a key hands-on contributor in the analytics & reporting development life-cycle, performing analysis, driving project specific data architecture, design, development, and integration
  • Assist with impact analysis of proposed changes on existing architecture, capabilities, system priorities, and technology solutions; looks for additional solution options or trade-offs
  • Assists in technical strategy, engineering process review and implementation solutions using third party tools/software as well as standards definition and review
  • Follow CRISP-DM methodology and document various findings & come up with insurance specific design & recommendations
  • Support team in developing continuous risk assessments and auditing
  • Support the section with depth of experience and expertise in the following domains: automation, machine learning, deep learning, advanced analytics, data science, data aggregation & visualization
  • Manage a team of data scientists, machine learning engineers and big data engineers, in-house developer, support teams and vendors
  • Interpret and analyze data problems



Qualifications
  • Degree holder in Data Engineering or Business Analytics
  • At least 10 years of hands-on experience working with large data sets
    Prior experience with ETL software products such as Informatica, Talend, Microsoft SSIS, etc.
  • Solid understanding of Machine Learning and AI
  • Hands-on experience in SQL, Tableau / Power BI and R / Python
  • Experience with Hadoop or other MapReduce-based architectures with knowledge in big data technologies and data visualization. You should have experience working with Spark/Hive/Impala etc Hands on experience with advanced data mining and analytics techniques like:

    • Feature selection
    • Pattern recognition
    • Machine learning algorithm like Neural networks, Support Vector Machines and other advance techniques
    • Text mining techniques
    • Real time data processing with Kafka
  • Experience conducting requirements analysis, meeting with business stakeholders and applying solutions to customer challenges
  • Strong leadership qualities and interpersonal skills, with ability to communicate cross-functionally, across levels, with diverse groups in a rapidly evolving business environment while managing multiple / concurrent projects
  • Strong written and verbal communication, presentation and technical writing skills
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