Key Achievements:

• Spearheading the implementation of the enterprise data governance program, overseeing strategy development and rollout. Determining requirements and prioritizing the development of new principles, policies, processes, and best practices for information governance.
• Crafting an operating model for the organization's data governance program by identifying stakeholders, defining a framework based on organizational structure, and establishing roles and responsibilities.
• Establishing and managing the Data Governance Council, fostering collaboration with key stakeholders and facilitating decision-making to ensure consistency and quality of critical data.
• Identifying data domains relevant to the organization by understanding business problems and capitalizing on business opportunities for the implementation of a data governance platform.
• Managing key information assets using the Informatica technology platform, defining domains, business processes, glossaries, dictionaries, and data catalogs.
• Collaborating with engineering, operations, and analyst teams to identify critical data elements within domains, providing thought leadership to narrow the focus of the data governance program.
• Implementing a stewardship model to engage specific groups or users responsible for assets within each community and domain, fostering collaboration with subject matter experts and data owners across the organization.
• Establishing a Data Stewardship framework to create metadata, define data standards, and manage other data assets.
• Ensuring Data Quality Monitoring and remediation through a structured framework.
• Defining control measurements, automating workflow processes, and setting thresholds for approval, escalation, and review processes, applying these to the Data Governance structure, domains, and critical data elements to enhance control and streamline onboarding processes for new business entities.
• Developing reporting processes capturing the management of assets, communities, and domains for effective prioritization and resource allocation.
• Creating a framework to comply with standards and controls for Data Provisioning and Data Access.

Key Achievements:

• Collaborated with clients to deliver expertise in data management, encompassing support for commercial business development, hands-on engagement delivery, and oversight with client liaison.
• Assisted clients in defining their enterprise data strategy, ensuring effective management and utilization of data as a valuable asset.
• Defined the client's "to-be" state, involving the design of Data Governance Target Operating Models (TOM) for efficient data management within the organization, enhancing trust and accountability.
• Evaluated and improved the client's data management practices, leveraging the latest technologies and tools.
• Assessed data quality policies and practices to support decision-making processes, ensuring data accuracy, completeness, and timeliness.
• Discovered and cultivated new clients, identifying emerging business opportunities to enhance revenue streams.
• Guided client projects through the entire lifecycle, from conceptualization to execution, ensuring successful implementation.
• Oversaw the day-to-day operations of the department, ensuring adherence to timely deadlines and efficient workflow.
• Supported clients in their digital transformation efforts, fostering innovation and adapting to the evolving business landscape.
• Produced comprehensive business research and financial reports for executive meetings, providing valuable insights for strategic decision making.

Key Achievements:

• Reported to the Head of Cybersecurity and Analytics, liaising with data owners and consumers to enforce data governance processes, manage data issues, and update the Data Catalogue.
• Successfully engaged with business stakeholders, data owners, and data stewards to establish a data quality framework.
• Registered new datasets in the CS&A Data Catalogue.
• Led initiatives to resolve data quality issues, including data cleansing, controls, and business rules.
• Optimized SQL queries to enhance the efficiency of data retrieval and manipulation.
• Deployed and managed scalable and secure cloud solutions on AWS, ensuring optimal performance, reliability, and cost efficiency.
• Mentored and educated in-house team members and external stakeholders to evangelize new Data Governance concepts, policies, and standards.
• Collaborated with CS&A technical teams to implement checks, tests, and dashboards.
• Captured, triaged, and tracked Data Quality (DQ) issues, ensuring compliance with standard HSBC Data Management and Data Integrity controls.
• Documented physical data elements in the Catalogue and maintained traceability from sources to published datasets through CS&A applications' integrity controls.
• Skills: Collibra Data Governance Center, Data Governance, Senior Stakeholder Management, Data Quality Control, Master Data Management.

Key Achievements:

• Effectively collaborated with Business Stakeholders, Data Owners, and Data Stewards to establish a robust data quality framework.
• Developed and maintained the Business Glossary to enhance communication and understanding of critical data elements.
• Utilized Customer 360 proficiently to enhance data quality, integrity, and support informed decision-making across the organization.
• Established and ingrained a data governance ownership model with clearly defined roles and responsibilities.
• Played a key role in designing and implementing standards, policies, and processes for the data governance program.
• Collaborated with technology teams to ensure that requirements for tooling (Informatica) are fit for purpose and in line with data governance regulations.
• Leveraged tooling to automate data quality checks, including DQ dimensions and thresholds, streamlining data governance processes.
• Led the development and implementation of a comprehensive Master Data Management (MDM) strategy, resulting in a 50% reduction in data errors and a 20% increase in data quality.
• Contributed to the delivery of a data governance framework and change management process, embedding data stewardship seamlessly into day-to-day business processes.
• Skills: Data Governace, Data Strategies, Data Quality Control, Master Data Management, Data Science, Change Management, Facilitation.

Key Achievements:

• Collaborated with the head of customer and product domains to establish a scalable strategy for data management.
• Conducted organization-wide discovery and data audits to identify data assets, ownership, and usage.
• Delivered an enterprise business glossary outlining critical data elements, their definitions, and ownership.
• Owned and actively maintained the business glossary.
• Established and ingrained a data governance ownership model with clearly defined roles and responsibilities.
• Instituted and integrated a data governance council across various data domains to set data standards, address issues, and facilitate the resolution of data quality issues through collaboration with data stewards and technology teams.
• Developed comprehensive data governance policies and standards, driving their adoption throughout the organization.
• Collaborated with Technology teams to ensure that the Enterprise Data Architecture aligns with its intended purpose and complies with data governance requirements.
• Contributed to the delivery of a data governance framework and change management process, ensuring the seamless integration of data stewardship into routine business processes.
• Successfully engaged with Business Stakeholders, Data Owners, and Data Stewards to establish a robust data quality framework.
• Led initiatives to address data quality issues, including data cleansing, implementing controls, and defining business rules.
• Skills: Data Management, Data Quality, Data Strategy, Senior Stakeholder Management, Master Data Management.

Key Achievements:

• Spearheaded the Data Governance initiative for Coventry Building Society, guiding the establishment of a comprehensive strategy and framework, including policies and standards.
• Implemented an enterprise-wide data governance framework, emphasizing the enhancement of data quality and the safeguarding of sensitive data. This involved modifications to behavior policies, standards, principles, governance metrics, processes, related tools, and architecture.
• Defined and clarified roles and responsibilities within the data governance framework, ensuring accountability for stewardship.
• Played a key role in delivering the data governance framework and facilitating the change management process to seamlessly embed data stewardship into day-to-day business processes.
• Functioned as a liaison between IT, Data Science, and Analytics to articulate, communicate, and ensure a clear understanding of data-related business requirements for data protection as part of strategic planning and operational prioritization.
• Facilitated the development and implementation of data quality standards, fostering their adoption across the organization.
• Skills: Stakeholder Engagement, Data Management, Data Strategies, Data Quality Control, Change Management.