Lead Meta Data Manager-0947

Lead Meta Data Manager

The job holder is responsible for supporting the design, development and implementation of the Data Governance program, and specifically those relating to metadata management, as part of the Data Governance Office. They are accountable for maintaining direction and ensuring alignment with business objectives with regards to how data is managed across the organization.

The job holder is also a key member of the broader data management group across the organization and is expected to play an important role in influencing and providing direction to the wider data management community.

Strategic responsibilities

⪠Support the development of the organizational Data Strategy and support data management in line with strategic business objectives and cultures and values. 2 Classification : Strictly Confidential Strategic Data and Executives Information and Communications

⪠Supports the DQ Lead in the development and oversight of data governance framework, standards, practices, policies and processes.

⪠Manage and ensure rigorous governance of the enterprise glossary/metadata repository to prevent the publishing of unapproved metadata data content for organizational usage. Core responsibilities

⪠Define and implement change governance processes of metadata content including change severity, service level agreements and reporting of high impact data changes to relevant data governance committees.

⪠Execute ongoing data discovery to identify new/amended data elements to ensure that the data landscape is comprehensively defined and remains up to date through ongoing maintenance.

⪠Define, curate, and enrich data elements within the enterprise glossary to drive a consistent understanding and use of data elements across in collaboration with business data stewards and data owners.

⪠Enforce changes to business applications (source/target systems) to align them to data rules defined within the enterprise glossary.

⪠Implement and validate an end-to-end visualization-enabled data lineage to support traceability of data elements so that impact and root cause analysis can be optimized.

⪠Implement data tagging of curated data elements with the appropriate security and privacy classification to enable effective implementation of regulatory requirements (e.g PII, PCI-DSS, CPR)

⪠Coordinate with Group Information Security (GIS) to ensure that the security controls applied on data are in accordance with the data classification criteria in order to prevent data leakage and unauthorized access.

⪠Collaborate with the Data Quality Management teams to ensure that the data quality rules defined within the enterprise glossary are accurately and consistently executed as per metadata definitions and identify data quality gaps that require remediation. ⪠Monitor periodic data loads to the metadata platform in order to track success/failure of data loads that can impact the accuracy of data quality reporting and resolve timeously.

⪠Conduct awareness programs, technical training and documentation with various stakeholders in support of metadata policies and procedures. ⪠All the above accountabilities include but not limited to any additional/new tasks or responsibilities assigned by the line Manager.

Specific Accountability

⪠Maintenance of the Metadata Repository

⪠Support DQ Management and DG team with analyzing the lineage across applications from

Metadata Management standpoint. Support different Business units in terms of Metadata

Management

⪠Develop scripts/automation in Python or SQL for Metadata Extraction.

Communication

Internal:

⪠The role requires establishing strong working relationship with all business groups and support

functions of the organization at various levels to ensure continued buy-in for the Data Governance

Model

External:

⪠The role requires regular interactions with vendors, data partners, consulting partners, and regulatory

and governmental bodies.

KPIs

⪠Delivery against planned Metadata roadmap activities

⪠# of Metadata Objects scanned 

⪠Increase in stakeholder opinion of Metadata Management 

⪠% Improvement in Lineage for key data elements

⪠Feedback from peers, management, and key stakeholders

Qualification & Experience  

 âª Degree educated with a minimum of 3 years of direct experience, 5+ years overall industry experience 

Minimum Experience:

⪠Minimum 3 years of direct experience in data-related programs, ideally in financial services. 

⪠Good operational knowledge of metadata management processes.

⪠Experience of collating, designing and presenting top quality management information to senior

leadership stakeholders

Knowledge, Skills, and Attributes: 

⪠Good knowledge of Data Governance and Metadata Management, frameworks, policies, and

procedures.

⪠Experience working on strategic programs and by synthesizing business requirements and priorities with

existing organisational capabilities.

⪠Good knowledge of Metadata Management 

⪠Technical knowledge of Informatica EDC / CDGC is a must.

⪠Good Python and SQL knowledge and analytical skills 

Attributes

⪠A reliable and trustworthy person, able to anticipate and deal with the varying needs and concerns of

numerous stakeholders adapting personal style accordingly.

⪠Adaptable and knowledgeable