Senior Data Product Owner

3 weeks ago

Dubai, Dubai, United Arab Emirates Tandemsearch Full time

Location: Dubai, UAE

The Data Product Owner role is crucial for the advancement of Data Strategy operationalization and progressing forward the WB data product roadmap by prioritizing WB requirements that cater to Business, Operations, and Support teams for all Data Domains / Sub-domains related to Corporate, FI, and SME banking customers and to ensure data consumer adoption of the governed/certified data products landscape. This role provides the techno-functional and hands-on expertise required for data management and data product implementation. It is placed under respective Data Product Ownership teams under the federated approach, working through a partnership/collaborative model with CoE's Data Strategy & Governance Function and IT teams.

Key Responsibilities:

Data Management

  • Strong understanding of Corporate products like Corporate Loans, Liabilities, Trade, Cash, Collaterals, and Treasury products.
  • Work with the WB and SME business, operations, and support teams, 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.
  • Lead a team of data engineers and test engineers to implement the data products.
  • Work with the BI team and CRM to enable data to be consumed for business performance dashboards/alerts across relationships, portfolios, product, and ops teams.

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 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 Adoptions:

  • 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-to-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.

Qualifications and Experience:

  • Bachelor's/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 with experience in implementing robust data management solutions for financial organizations.
  • 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.
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