Data Steward

SUMMARY:
The Data Steward will ensure adherence to Data Governance standards and Data Management.

POSITION INFO:

The Data Steward will ensure adherence to Data Governance standards and Data Management at business unit and enterprise level, coordinating with stakeholders to ensure that data milestones are met, implement data chapter standards, metrics and processes. The role acts as proxy for Data Owners to ensure execution on data ownership requirements in line with the Data Ownership Model.

Key Results Area:

• Implement data chapter standards, controls, measures and processes for the specified data domains under their stewardship.
• Act as proxy for Data Owner where applicable and in line with the Data Ownership Model.
• Document the data assets into catalogues and assign data to domains and owners.
• Manage and maintain processes and procedures along with access controls to monitor adherence.
• Maintain quality of the data using various sources and monitoring tools.
• Coordinate and implement corrections where required data through approved processes.
• Optimize ways of working and ensure optimal collaboration across the domains under stewardship.
• Monitor data usage to assist teams, share best practice trends in data use.
• Proactively provide insight into how and where the business unit can leverage data to help in day-to-day decision-making.
• Ensure compliance and security of the data. Data stewards are responsible for protecting the data while providing information on potential risks and offering regulatory guidance.
• Ensure timeous and successful implementation of any new data chapter standards that are introduced.

Role Requirements:

• Minimum of 6 years’ experience in Data Management, Data Governance or Stewardship role with understanding of data risk, data architecture, data governance, data analysis, data validation and metadata management.
• Experience in banking or related regulatory industry, experience with governance standards to provide high quality data having implemented, integrated and controlled activities/processes to ensure availability, usability, integrity, compliance and security of data within a given domain.
• Sound knowledge and understanding of the data life cycle.
• Operational experience related to data quality and incident management.
• Understanding of and experience with root cause analysis and problem-solving skills.
• Awareness of the Data Product Life Cycle (DPLC) & Agile methodologies.
• Understanding of data flows between systems, ETL and processing of structured and unstructured data within the data architecture.
• Strong project management, risk management and data governance skills.
• Business Analysis techniques and master data management experience is essential.
• A level of technical expertise is also required to understand Kafka and cloud data technologies, streaming etc
• Some technical expertise in managing GitHub repositories is beneficial.

Qualifications:

• Bachelor’s degree in computer science, Information Systems or similar fields like Big Data, etc
• Related Technical certifications (DAMA-DMBOK) would be advantageous.
• Knowledge of Agile methodologies and project management practices, including Scrum, Kanban, and Lean.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and in a team environment in an Agile framework.
• Strong analytical and critical thinking skills.

Skills:

Action Planning, Application Development, Cloud Computing, Cloud Infrastructure Management, Current State Assessment, Database Queries, Data Classification, Data Compilation, Data Compression, Data Management, Data Modeling, Data Recovery, IT Architecture, IT Network Security, Test Case Management

• Competencies
• Action Oriented
• Cultivates Innovation
• Ensures Accountability
• Manages Complexity
• Optimizes Work Processes
• Persuades
• Plans and Aligns
• Strategic Mindset