AVP, Lead Data Analyst, Data Management & Data Analytics AVP, Lead Data Analyst, Data Management & Data  …

in Singapore
Permanent, Full time
Last application, 14 Sep 21
in Singapore
Permanent, Full time
Last application, 14 Sep 21
AVP, Lead Data Analyst, Data Management & Data Analytics
What does GDMO do?
The Group Data Management Office (GDMO) plans, priorities and executes key data initiatives that build long-term data governance and management capabilities, to enable OCBC Group in meeting its regulatory obligations and digitalization objectives.
Position Available
Candidate for the role is expected to work with a dynamic team to design and implement data management, data quality and data cataloguing related initiatives (e.g., design/rollout of enterprise-wide data taxonomies, maintenance & implementation of solutions to facilitate data provenance & data discovery), enabling the bank to effectively leverage on data as an enterprise asset to support its strategic decision-making and actions. The function includes:
  1. Working with relevant business units to establish additional enterprise-wide data taxonomies, to enable consistent and comprehensive data aggregation & reporting
  2. Implementing solutions to facilitate more effective data discovery by data users
  3. Establishing data quality ("DQ") metrics, and applying DQ diagnostics methodology via scalable tools to assess quality of data by users as part of data discovery
  4. Providing subject matter expertise in guiding best practices for documentation of data lineage and metadata by relevant stakeholders
  5. Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, or Scala
  6. Working internally with business units, data scientists and GDMO Data Governance team to:
    1. Identify opportunities for enhancements in data management capabilities, and work with relevant stakeholders to address operational or data issues in the data pipeline
    2. Ensure data management processes comply with established framework & policies

Qualifications and Qualities
The successful candidate will be expected to be/have:
  • 5-6 years of related working experience, specifically in the areas of data management and quality
  • Implementation experience in data-related projects of similar scope, scale and complexity
  • Strong technical skills in the areas of data and database management, with experience in one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)
  • Experience in the reporting tools such as Qlikview or Tableau
  • Experience with data mining and data warehouse solutions. Knowledge in SAS and/or Teradata will be viewed favourably
  • Ability to deal with ambiguity and prioritise/manage multiple tasks, with good problem-solving skills
  • Willing to listen to multiple stakeholders and forge consensus on win-win solutions to meet sound data governance and management principles
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