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Key Responsibilities
- Responsible to define, align, maintain and evolve the Data Governance policies, standards, process and roles
- Responsible for the formation and execution of a data governance framework detailing the hierarchization of data elements / assets and parameters to be setup as well as detailed definition of use cases of implementation. Ensures cross data domain standards
- Ensure alignment of above mentioned standards with data teams, self-service consumers, data modeler, technical architect and quality assurance teams or other relevant counterparties
- Training and support for stakeholders in understanding and apply the defined policies, procedures and working guidelines
- Contribute with the rest of the team to continuous improvements of the Data Management standards and policies and monitoring process
- Monitor and report on compliance to data standards and procedures
- Collect business requirements for data governance activities
- Recommend improvements to all data governance tools (data quality, Glossary, Lineage, RDM, Report Catalogue) through systems and platforms
- Review, develop and maintain business glossary entries and data quality rules
- Identify and address data issues in existing processes and systems
- Support stakeholder engagement and provide overall monitoring dashboards for all areas
- Contribute to data-related projects across the enterprise
- Manage data dictionary definition, and modification process
- Responsible for ensuring the overall framework for list of values and config tables (RDM) alignment
- Act as an escalation point, chairs Data Governance Forums
- Ensure proper impact analysis and lineage metadata is available on all data management objects (Glossary, DQI, RDM others)
- Actively participate in agile ceremonies, estimate duration of activities
- Stay up-to-date with the latest technology advancements relevant for domain of responsibility and contribute to the evaluation and adoption of new tools and techniques in the area of responsibility
Experience
- Experience as Data Governance Analyst/ Data Analyst in financial services industry projects
- Business knowledge in financial services industry
- Proven understanding of Data Management processes and principles
- Mid level experience with building queries in different DB
Technical Skills:
- Advanced knowledge of banking processes and products
- Advanced understanding and experience in data management area
Other Essential Skills
- Good knowledge of data management concepts (Glossary, DQ, RDM, Lineage)
- Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex functional requirements
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Ability to work independently and manage multiple tasks in a fast-paced environment
- Proven ability to take ownership of tasks and drive them to completion as well as acting as a mentor and consultant for internal consumers and analysts
- Excellent attention to detail and a commitment to delivering high-quality work.
- Strive to constantly improve and automate Data Management artefacts delivery, processes and tools
- Experience working with Agile approaches and best practices
- Quick learner and highly motivated to keep up with latest technologies
Education:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related data field.
Nice to Have:
- Experience with Data Governance tools: Glossary, Data quality, RDM, Lineage
- Mid / Entry level Experience with building queries in various DB (e.g. Oracle, SQL Server, Data Bricks, Snowflake)
- Experience with Ataccama suite (glossary, DQ, RDM, Lineage)
Key Skills
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