Ahmed Faizan

• Developed and implemented data governance policies to enhance data quality and ensure compliance with regulatory standards.

• Established data lineage protocols to track data flow and origin, improving data access and mitigating risks.

• Worked with IT and business teams to prioritize data governance initiatives and ensure alignment with organizational goals.

• Led the adoption of Microsoft Purview for data cataloging and governance, optimizing data management processes.

• Developed and maintained a data dictionary, improving data clarity and consistency across teams.

• Aligned the Finance Data Governance strategy with enterprise-wide objectives, improving governance efficiency.
• Implemented data management tools such as Alation and Atacama, streamlining data tracking and reducing manual efforts.
• Coordinated governance meetings and tracked action items, enhancing cross-department collaboration.
• Defined and prioritized data-related requirements to ensure consistency and accuracy across the organization.
• Enhanced data stewardship practices, leading to quicker improvements in data quality.

• Assist with aligning and updating the Data Governance strategy and processes based on data specific needs.
• Managing data quality, in regard to the key/critical data elements existing within SalesForce.com system
• Perform data analysis, data profiling, data modelling and data mapping.
• Accountable for assessment, delivery, accuracy and tracking of any production data fixes or data cleanup projects
• Understand and communicate end-to-end data flows and identifying data dependencies in support of the global business needs
• Responsible for development of a data dictionary/glossary for the definition of the commercial teams data in SFDC, including end-to-end data flows from other systems (ELOQUA, Oracle) and data lineage.
• Conduct root cause analysis on production data issues, validate all data, perform routine tests on databases and provide support to all ETL applications.
• Enable teams on best practices for documenting data sets, data lineage, business glossaries, data dictionaries, and other key areas of data management maturity.
• Leverage existing processes and support the creation of additional mechanisms to implement policies, processes, procedures, and playbook(s) for guiding the data governance aspects.
• Support the implementation and adoption of Data Catalog, Data Quality and Master Data Management tools such as Alation, Atacamma and Confluence.
• Organize agendas and align key stakeholders to prepare for various weekly and bi-weekly governance meetings.
• Collaborate with the business and IT to ensure that data related requirements are clearly defined, prioritized, and well understood across stakeholders.
• Promote ongoing engagement of data stewards and data domain owners within the data governance infrastructure.
• Propose improvements to make operational activities more effective, efficient, and consistent across councils; update documentation according to the agreed-upon direction.

• Managing account data and using a set of rules to help prepare the data and make it more usable and relevant (assembling, de-duping, “merge/purge”)
• Perform ad-hoc analysis of data using python and SQL
• Consulting with Sales Account Executive to gather information to help validate “merge / purge” clean-up activities.
• Defining data elements and establishing policies and procedures related to the collection and accuracy of data, and perform tests on data systems (Salesforce mainly)
• Participating in Data Governance activities which included rules definition and compliance, data curation and data management

• Plan and coordinate Amazon Payment Compliance Department operations.
• Conduct comprehensive investigation into suspicious activities, identified and targeting risks to company and customer profiles.
• Verify authenticity of merchants through internal / external systems, databases, and other resources.
• Managed KYC process, encompassing investigation and verification of merchant accounts.
• Pinpointed fraud patterns / trends as well as implement appropriate procedures to minimize impact.
• Implemented quality assurance and maintain related controls focused on investigators.
• Use analytics and data mining techniques to solve complex problems and drive business decisions.
• Employ the appropriate tools, methodologies to discover patterns of risks and help reduce bad debt
• Solve analytical problems, and effectively communicate methodologies and results
• Draw inferences and conclusions, identify fraud trends, anomalies
• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to focus area