• Work closely with data stakeholders, product teams, and technology partners to deliver trusted, high-quality, and compliant data across the organization • Work internationally with internal and external data providers, handling global data across a range of disparate formats, including APIs and batch processing • Document, develop, and maintain end-to-end data mappings from international third-party providers, integrating their information into our ecosystem • Participate in user acceptance testing and validation of data integration processes • Partner with technical teams (business analysts, IT teams) to support effective data integration, and with the business to drive understanding of the data consistent with its use by the business • Communicate with data providers, ensuring clarity and comprehensiveness of the data integrated • Maintain consistent, technically accurate communication with all internal and external stakeholders • In collaboration with technical teams, investigate ingestion failures and escalate persistent problems with full documentation • Monitor data ingestion performance • Ensure documentation of mapping process, test results and contribute to continuous improvement of the process

• Work closely with Project Managers to coordinate high demand projects within U.S. Data Center Services. • Support execution of project activities to ensure on-time delivery within project budget and operating model. • Conduct analysis of plan versus actual project performance. • Monitor and release requests for invoicing, including follow up on delays, errors, etc. • Support coordination of various administrative tasks, ensuring proper documentation and follow up via email, SharePoint, and Project Management software. • Meet internal and customer driven SLAs and response times, ensuring proactive engagement across all assigned projects. • Assist project manager with scheduling kickoff and recurring meetings with stakeholders. • Troubleshoot and resolve coordination and/or administrative concerns. • Act as backup support to project manager on weekly calls. • Review project plans to ensure that site safety and integrity topics are identified and addressed prior to project commencement.

• Coordination/ implementation of quality process and cooperation with functional, governance teams and business groups with an E2E business mindset • Execute tasks which require E2E understanding and change impact analysis (steps performed outside of DMO team) • Identify and propose quality service expansions or other E2E process efficiency improvement opportunities • Serve as support for internal queries related to complex transactional requests that imply data quality opportunities (cleansing efforts, process gaps, controls, audits, etc.) • Responsible for creation / maintenance of process documentation for Data Health team • Work with non-standard scenarios, complex cases and coordination of cleansing efforts for CO organization • Responsible for team members onboarding and providing training (refreshments / process changes) • Improve and develop internal processes and control them, with close connection to global/area SMEs, quality and process experts or global/regional process leaders • Responsible for development of ad-hoc reports and analysis • Responsible for project management, quality process improvement or any other initiatives (including projects related to new processes design) • Consolidated partnership with other teams (internal or external to DMO, global, regional or local) to ensure clear understanding of data health implementation and change impacts and change management requirements • Deliver cost-effective, high-performance master data solutions • Drive or lead ad-hoc critical business cleansing efforts • May include participation in ERP Deployment activities (ie PIT/UAT testing) • Participation/leading in regional or global projects/ initiatives • May include development and maintenance of automated quality solutions utilized in daily operations • Acting as active back up for Team Leader

• Provide engineering support for Data Discovery, DLP, and Data Classification systems which include implementing detection rules, reducing false positive detections, deploying and maintaining tools. • Analyze Data Discovery, DLP, and Data Classification events and formulate metrics to indicate areas of concern. • Coordinate with business units to gather business requirements such as unique sensitive data patterns, whitelist of authorized entities, and establish controls with least business impacts. • Building reports/automations to address key business concerns on data protection issues • Assist in addressing Data Protection control audits.