Responsibilities:


Understand data usage needs and set targets and plan to deliver against portfolio requirements to drive business value

Leads his or her data community, brings together Application Owners, Application Managers, and other Data Stewards to resolve data related issues

Provides guidance/coaching in executing data governance standards/methods to ensure security, quality, and proper usage of data assets

Sets standards and guidelines for Data Acquisition/Data Onboarding, Data Classification, Data Storage, & Usage to ensure appropriate data is being used to derive analytical models and concepts

Promotes data sharing across BUs/SUs by establishing proper guidelines and standards for access, security, usage, enrichment and maintenance of those data assets

Leads and facilitates the Data Community’s identification, definition and management of Critical Data Elements. This includes the business and technical definitions, metadata and golden source information, and ensuring its full inclusion in the Data Governance tools platform and workflow

Leads Data Community’s data lineage program, including, tracing samples of data from report back to origination; checking transformations and aggregations for accuracy; and proving out accuracy by reconciling against source documentation

Leads and facilitates the Data Community’s data quality assessments, including: data profiling, establishment of data quality rules and thresholds for Critical Data Elements; review of data quality reports provided back to the Community

Applies issue management and resolution processes for the data Community leveraging the authoritative data governance tools, building consensus around key data issues and actions required to address them, and developing action plans and timelines to complete remediation

Provides regular reporting on Data Governance metrics and activities for assigned Data Community to his or her COO and Data Governance Office
Identifies and executes robust and continuous improvements opportunities within the enterprise data management processes in the applicable systems


Qualifications

Requirements


Degree in Business, Finance or other relevant field. Computer science knowledge is an added advantage
Has worked with at least one Enterprise Application System, for instance, Trade Order Management, Portfolio Accounting, General Ledger etc.
Experience in business and data analysis, process improvement and project management
Banking specific knowledge and experience in governance, risk, compliance or operational functions
Excellent verbal & written communication skills, including ability to facilitate meetings and present to senior business executives
Specific knowledge of the target business area (e.g. Consumer Banking, Investment Banking, Finance, Operations, Human Resources, Risk, Audit, Legal, etc.)
Knowledge of data/content management (Ex: relational, mainframe, web, metadata etc.)

Nice to Have

Experience in developing standards, processes, and policies
Exposure to multiple business units in company’s environment to understand the linkages and dependencies
Expertise in the use of data governance, profiling, analysis, and management tools.
Well networked and respected amongst peers

星展银行是星展集团控股有限公司控股子公司，总部位于新加坡，业务遍及全球15个市场的50多个城市，拥有超过200家分支行营业网点。星展银行的前身为新加坡发展银行，拥有强稳的资本实力，所取得的AA-和Aa1级信贷评级属亚太地区最高之一。
同时也连续在2009、2010、2011年被《全球金融》(Global Finance) 杂志评选为亚洲最安全银行。在当今风云变化的金融环境之下，作为亚洲最安全，新加坡最佳的银行，将让我们全区域的客户感到更心安和有保障。
星展银行1993年进入中国，在北京设立第一个驻华办事处。自2007年5月，星展银行在华成立法人银行以来，星展中国的业务及网络获得迅速发展。在这四年多里，星展中国客户数增长约八倍，员工人数翻番约1600人。与此同时，星展中国扩大了其分支行网络，在天津、南宁、东莞、杭州及重庆新增5家分行，并在上海、北京、苏州、深圳及广州新增14家支行。
如今，星展中国拥有10家分行和15家支行。其个人银行，私人银行，企业银行、财资市场以及全球贸易交易服务部等业务共同构成了在华业务版图。