Data Management Lead Retail Banking and Wealth Management

Citibank - More jobs by this advertiser
Data Management Lead Retail Banking and Wealth Management-19023182


  • He / She will be solution lead for addressing the data & reporting needs for retail banking and wealth management business across APAC and EMEA

  • He / she will own data assets / Business intelligence for the business vertical

  • He / she will work to design the retail banking common data layers and build reporting cubes to deliver card / wealth management insights in Tableau

  • He / she will also enrich retail banking / wealth management related data sources in our big data lake

  • He/ she will also own the creation and enhancement of reporting cubes built over common layer and will work with regional business / DM partners to make them gold source for all business reporting


  • Work with AIM / Regional Business / DM Teams tech to ensure retail banking data in our data lake is available and is complete

  • Responsible for delivery of foundational common data layers (FCDL) for retail banking and wealth management – roll out FCDL across APAC & EMEA

  • Work with countries and AIM to define the logics for data elements in 360

  • Lead testing and deployment of retail / wealth management data layers

  • Data Definitions: work with tech to ensure all retail banking / wealth management data in lake has dictionary and lineage ; Own the development and maintenance of data dictionaries for domain area with established framework

  • Own and drive the roadmap for entire suite of retail banking / wealth management KPIs, reports and dashboards across APAC & EMEA

  • Partner with regional business teams  / DM partners to define Cubes and groom them for data content (KPI / Dimension / Seniority, time series)

  • Work with AIM to script and test report visualizations in tableau

  • Partner with tech to stage reporting cubes into big data ecosystem for consumption

  • Data Definitions: work with tech to ensure all cubes in lake have metric / dimension dictionary and logic 

  • Collaborate with the broader BI  / retail banking tech platform team and Technology to develop, optimize and align BI solutions to meet retail banking business needs - Ensure all data produced from retail banking PP’s / Big data use cases is ingested in data lake

  • Identify & work with technology to evaluate and pilot third party / external data sources that could enrich data lake for use in retail banking / wealth management big data use cases

  • Develop deep partnership with the retail banking product team and be the delivery-partner for KPIs related to new initiatives and product capabilities





  • Bachelor degree or above in Computer Science, Data Science, Economics, Business Administration with expertise in Business Intelligence, Big Data and/or Analytics, Predictive modeling and data manipulation/extraction from huge / complex databases using SAS / SQL/ R/ Hadoop are required

  • At least 5 years of banking industry experience, especially wealth management business

  • Expert with Tableau and SQL, hands-on, obsess with using data to drive business decisions and passionate about building effective and engaging visualizations

  • Possess strong collaboration and influencing skills to effectively lead cross-functional teams to drive deliverables, projects and engagements to completion

  • Have a ‘Can do’ and ‘Get it done’ attitude – do whatever necessary and take full ownership of delivery

  • Must have capability to clearly communicate analyses. Presentations to both technical and non-technical personnel are required to be made frequently as part of the job

  • Comfortable engaging with business owners, DM partners and technology teams alike and have strong experience in translating business needs into measurable outcome


4 October 2019
Location: Singapore Singapore
Work type:
Full time
Banking and Financial Services
PLEASE! No enquiries from Recruitment Agencies or Headhunters.

Only direct applications will be considered.

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