Detalhes do emprego
Job Title: Senior Data Product OwnerLocation: Dubai, UAEEmployment Type: Full timeJob Description:WB Business Analytics enables businesses to gain analytical insights on Customer, Product, and Operational data via BI and Analytical tools. The department partners with the Data Strategy and Governance function to build an ecosystem of business-owned and self-describing Data Products to complement and enable all forms of Analytics, BI, Operational, Regulatory, and other data-dependent use cases for WB Group (covering all entities) and thus ensure the transformation towards becoming a fully optimized data-driven organization.Key Responsibilities:Credit Risk Modeling Subject Matter Expert (SME)Work with Risk stakeholders on building the Credit Risk data product.Oversee the collection of data that feeds the bank's risk models.Understand the bank's risk controls including risk limits.A strong understanding of the Basel framework and experience in building data structures/data marts that support Risk models (Corporate Rating, SME rating, IFRS9 PD- Corp/SME, IFRS9 LGD-Corp/SME, Sovereign - Dubai Govt- PD, Investments- PD/LGD).Support all requirements for lending and treasury products.Data ManagementUnderstand Corporate products like Corporate Loans, Trade, Cash, and Treasury products.Work with the business, operations, and support teams in WB and SME.Validate data for availability and accuracy.Plan data squad activities and lead the execution strategy.Forming & Operationalizing Data Domain Working GroupsIdentify relevant data consumers for the assigned data domains/sub-domains.Data Product level Functional SpecificationsConvert high-level data requirements from data consumers into detailed functional specifications (covering data mapping with golden source, business rules/data transformation rules, business glossary/data definitions, data quality rules, observability metrics, data access specifications, etc.).Data Modeling Functionality Assurance ReviewsWork closely with the Data Modeling team for the data products design based on the functional specifications.ManagerialManage a team of business-focused and technically skilled data analysts/contractors to advance the data products roadmap.Mentor and coach the team while providing technical & functional/data training and up-skilling as necessary.Key Teams to Collaborate withUnderstand all aspects of Data Strategy, Data Governance & Data Management and serve as a thought leader for the advancement of data strategy operationalization.Work closely with the Data Strategy & Governance office and respective data domain specialists for progressing the data product roadmap & delivery.Collaborate with Data Modeling teams for accomplishing the long-term stable design for Data Products.Self-Management ResponsibilitiesDefine performance goals at the start of the year in discussion with Reporting line managers and ensure that the goals are achieved during the course of the year.Identify training and development needs for self and agree on them with reporting manager to ensure that the required upskilling is addressed.Qualifications:Bachelor's/Master's Degree in Information Management, Computer Science & Engineering, or equivalent from an accredited institution.Expert level proficiency in Data & Information Management domain and required tools & technologies.FRM certification preferred.Minimum 7+ years of experience in Data & Information Management and Data Governance domains.Minimum 2+ years of experience in holding managerial responsibilities.Demonstrated expertise & experience in working through federated/centralized data strategy & governance models.Strong Banking domain knowledge and experience in implementing robust data management solutions for financial organizations.Familiarity with credit risk management methodology and internal bank databases.Strong experience in leading major data initiatives - both developing data strategy and data management solutions implementation.Outstanding analytical and organizational skills with attention to detail. Tenacity to identify the root cause of problems is essential.Demonstrated expertise in all key facets of Data Management (Data Warehousing, BI, Data Governance, Data Quality, Master Data Management, Data Privacy Management, Application side Data Management, and External Data Assets Management).Robust knowledge of data, systems, and analytical tools like SAS/SQL, R, Python, Pyspark, etc. Proven ability to quickly learn new systems and data environments.
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