The Data Product Owner role is very 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. 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.
• 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.

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 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-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.

Communication:
• Actively communicating the enhancements/changes to data product functionality to the Data Consumer Community.
• Providing active contributions to the Data Strategy community by conducting learning-series events for the development/enhancement of data literacy for the group.

Job Content:
• Support Key Data Product Implementation / Data Management Initiatives:
• Lead the efforts for the implementation of Data Products at the group level or for assigned data domains / sub-domains.

Data Expertise:
• Building rich data flow & systems knowledge for assigned domains/subject areas and integrating the expertise for business use-case enablement.
• Ensuring the trustworthiness of data across all its applications.

Data Discoverability & Understandability:
• Enabling data democratization capabilities through publishing the data products in a self-describing manner onto the Enterprise Data Products platform.

External Data-Partnerships (as per business use-case needs):
• Identify, assess, and manage external data assets.
• Works with the Data Engineering team to Ingest, prepare, and organize the data from external sources.
• Drives PoC Execution, Results demonstration, and manages Contracting.