orming & Operationalizing Data Domain Working Groups:
Identifying the relevant data consumers for the assigned data domains/sub-domains
Regularly conducting the working group sessions with data consumers for capturing 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 are needed 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.
Data Modeling Functionality Assurance Reviews:
Working closely with Data Modeling team for the data products 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 under 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 enable business value and reduce 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 for accomplishing the desired.
What We Are Looking For
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 a federated / centralized data strategy & governance model.
Strong Banking domain knowledge. Strong experience in implementing robust data management solutions for financial organizations.
Bachelors/ master’s degree in information management, Computer Science & Engineering, or equivalent degree from an accredited academic institution
Understanding and expert level proficiency in Data & Information Management domain and required tools & technologies.
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