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Senior Data Product Owner

4 months ago

Dubai, United Arab Emirates Tandem Search Full time

Credit Risk Modeling Subject Matter Expert

  • Work with Risk Stakeholders on building the Credit Risk data product. These Data Products will cater to all Risk Modeling use cases that the risk team will need where Corporate customers are involved.
  • Will be responsible for overseeing the collection of data that feeds the bank's risk models.
  • Strong understanding of the bank's risk controls including risk limits.
  • Credit Risk SME should have 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.
  • Should be able to support all requirements for lending and treasury products.

Data Management:

  • Work with the business, operations, and support teams in WB and SME. Also engaging with other teams that consume client data and requirement gathering.
  • Data validation for availability and data accuracy.
  • Plan the data squad activities and lead the execution strategy.
  • Manage the backlog of data products.
  • Lead a team of data engineers and test engineers to implement the data products.
  • Liaise with architecture, security, risk, and platform teams on framework and guidelines.
  • Develop deep understanding of the data from Business users developing knowledge of business flows and data creation and consumption.
  • Work with the BI team and CRM to enable data to be consumed for business performance dashboards/ alerts across relationships, portfolio, product, and ops teams.
  • Ensure quality through sanity / UAT testing.
  • Ensure the data uniformity and standardization across all entities Manage the framework to incorporate regional changes and regulatory frameworks.
  • Support Migration activity over different platforms.

Forming & Operationalizing Data Domain Working Groups:

  • Identifying the relevant data consumers for the assigned data domains/sub-domains.
  • Regularly conducting working group sessions with data consumers to capture their data needs, maintaining a unified data products backlog with prioritization continuously reviewed and agreed upon.
  • Also, acting as a Data Consumer Representative (as may be required) as part of other data domain / sub-domain specific working group sessions for articulating the data requirements to respective data product owners, that need to be addressed for respective business stakeholders/data consumers.

Data Product level Functional Specifications:

  • Converting the 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.,).
  • Maintain in-depth knowledge regarding systems/platforms that provide data (golden sources) and stay up to date regarding ongoing system enhancements/migrations that may impact data product design or structure.
  • Drive the Identification of the data gaps and delegate responsibilities to CRM / Systems/ BAU core teams (corporate governance) to fix relevant data gaps.
  • Data quality management –establish a data quality model and provide the strategic framework and vision to the corporate governance team and core consolidation teams to fix data quality issues (short term and long term).

Data Modeling Functionality Assurance Reviews:

  • Working closely with the Data Modeling team for the data product design based on the functional specifications.
  • Participating in Data Model design reviews and approving the desired functionality for each data product.

Data Products Implementation & Ensuring Data Consumer Adoption:

  • Working as a partnership / collaborative model with CoE-Data Strategy & Governance function and IT teams for the implementation of Data Products for assigned data domains.
  • Ensuring data consumer adoption to respectively owned data products landscape thus enabling business value and reducing dependency on ungoverned data sources.

Data Product Life-cycle Management:

  • Accountable for end-end functionality of data products (Lineage, carrying out data quality root-cause analysis and remediation efforts, future enhancements, retention/purging / archival, etc.,)
  • Ensuring consistent Master & Reference data generated and leveraged wherever applicable.

Data Discoverability & Understandability:

  • Ensuring the contents of data are found in Enterprise Data Products platform and are self-described thus enabling data democratization capabilities across the organization.
  • To be able to work with Metadata Management / Data Governance tooling teams to accomplish the desired.

Data Privacy, Protection & Terms of Use:

  • Ensuring the data is managed according to the data privacy/protection regulations and ensuring rules governing access to and use of the data are established and enforced.

Requirements:

  • Bachelors/ master’s degree in information management, Computer Science & Engineering, or equivalent degree from an accredited academic institution.
  • Understanding and expert-level proficiency in the 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. Strong experience in implementing robust data management solutions for financial organizations.
  • Multi-Market Experience Preferred.
  • 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. The 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, etc.,).
  • 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.
  • Preferred knowledge in HADOOP, Oracle, PostgreSQL & SAP HANA 
  • database technology platforms.
  • Preferred knowledge in interacting with Data Governance tools (Informatica AXON-EDC-DEQ).
  • Preferred knowledge in applying Data Modeling methodologies and interacting with data modeling tools such as SAP Power Designer, Erwin, etc.
  • Preferred – Certified Data Management Professional (CDMP) certification from DAMA.
  • Collaborative team player with strong stakeholder management skills, who can think creatively and strategically while building cross-functional and cross-divisional relationships.