Data Steward, Capital Markets

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Job Description

JOB PURPOSE
Reporting to the Data Governance Lead, the Data Steward will be responsible for managing metadata, data quality metrics and rules, and data sharing and access for Transaction Data. The Data Steward will also be involved in defining the user requirements for the automated data quality and data access management solution development on the Data Lake. The role is in a centralized Data Governance Team in the CAO office of Capital Markets, and will work closely with Data Owners, Data Stewards, Data Custodians and all other Transaction Data stakeholders in Capital Markets.

KEY ACCOUNTABILITIES
Transaction Data Governance

• Work with business and technology stakeholders to identify Critical Data Elements.
• Maintain Business Glossary content for Transaction Data Domains in the Data Catalog tool with input from data stakeholders.
• Implement transaction data procedures and processes with inputs from the governance bodies (Data Governance Working Groups and Data Governance Council).
• Maintain the centralized data issue log by taking inputs from business data stewards and following up on progress of resolution.
• Manage the centralized data quality rule repository and coordinate the definition of common data quality rules with inputs from business and technology data stakeholders.
• Coordinate the Data Quality Dashboard publish with the Authoritative Data Sources.
• Gather and document user requirements for the development of the automated Data Quality solution in Databricks.
• Document and track Data Custody Agreements between source and destination data sources by taking inputs from data stewards and data custodians, and seeking approval from data owners.
• Manage data access requests for the Data Lake through data access logs and monitoring.
• Gather and document user requirements for the Role Based Access Framework and the automated data access management solution in Databricks.
• Assist in developing high quality training and communication materials to promote Data Governance across Capital Markets.

KNOWLEDGE AND SKILLS

• 
  Capital Markets Transaction Domain Knowledge:

o Minimum 3 years experience in Capital Markets, ideally in BAU or change roles around trade booking, matching/confirmation or reporting.
o Capital Markets trade and product knowledge at least in one of the asset classes with ability to easily understand the requirements on simple and complex deal structures.

• 
  Data Governance and Management:

o Experience in one or more data governance practices (Metadata, Data Quality and Data Access Management).
o Familiarity with other data management disciplines such as Data Architecture, Data Security and Reference/Master Data Management.
o Experience or familiarity with data governance and management techniques and technology (Data Catalog, Data Quality, Data Transformation and Transmission).

• 
  Change Management:

o Ability to work with business, operations, finance and technology stakeholders from varying locations and asset classes.
o Ability to analyze and document business processes and implement new ones.
o Ability to gather and document user requirements in agile methodology.
o Ability to maintain and coordinate issue logs with prioritization and closure actions.

o Strong attention to detail, strong work ethic and delivery focus.
o Team player skills and ability adopt well to dynamic and goal-focused teams.
o Ability to become quickly proficient in new processes and systems.
o Strong verbal and written communication, and documentation skills.
o Flexible and able to adapt to changing situations and ability to work in a very fast paced and demanding environment.
o Experience with change management and organizational tools such as JIRA, SharePoint, Confluence.
o Foundational technical skills (beginner/intermediate level in SQL, XML, BI tools, python, etc.) and comfort level working with existing and new technology and software applications.
o Previous experience with Microsoft Purview (or a similar data catalog tool), any Data Quality Tool and Databricks (or a similar cloud based data engineering tool) is an asset.

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