Collaborating across functional groups to address technical issues impacting quality, driving forward technical initiatives within Data Management.Providing data management guidance to internal project team members and customers.Communicating with internal project team members and customers on all aspects of data management activities performed for a study on a weekly basis.Developing data management plans (DMP).Developing and reviewing data transfer specification documents (DTS).Reviewing, making decisions, and acting upon output from automated data checks.Facilitating risk assessments for mid-study changes.Verifying data extracts against the DTS.Facilitating and verifying data clarifications and data corrections.Facilitating and verifying external data reconciliation.Contributing to the development and update of process improvements that reduces processing times, increases quality, mitigates operations risks, improves team performance, and meets departmental objectives and corporate objectives.Communicating effectively within a multi-disciplinary project team to complete assigned tasks on time and within budget.Performing all work in accordance with documented Standard Operating Procedures (SOPs), Working Instructions and Best Practices.Assisting in developing and improving Standard Operating Procedures (SOPs), Working Instructions and Best Practices.Participating in special data-related projects as needed.Assisting with other departmental initiatives and projects as required.Mentoring less experienced staff. Ensuring project staff are trained and adhere to project-specific, global, standardized data management processes.

Stamping, indexing, processing and analyzing the received invoices in order to ensure a fast and smoothtransitions to accounts payables.Constant communication with the vendor management department in order to reconcile invoice mismatches.Assuring that all the received invoices matched the required criteria in order to be included in the weeklyreports.Identifying and reporting any issue/non-conformity to the Quality Assurance team and actively participate in the correction and prevention actions.Monthly and weekly financial reports on all accounts payables.Dealing with high work volumes within Service Level Agreement.Responding to enquiries from vendors regarding invoice details via email.Sending reminders for missing/rejected invoices based on a report.

Providing quality customer service, including interacting with customers and answering customer enquiries.Cooperating with the project teams and managers involved in the change process.Supporting and managing the necessary communication activities related to the change process.Conducting impact analyses, assessing change readiness and identifying key stakeholders.Effectively managing the end to end change lifecycle and identifying process improvements where possible.Day to day management of change requests.Identifying and allocating the relevant approvals for the change.Conducting & verifying post implementation reviews, investigating issues arising out of change implementation.Reporting of change to both internal and customer management teams.Participating in internal & customer end to end user group calls to improve the efficiency of future deliveries and business processes.Ensuring operational teams adhere to the quality standards within the IT Service Management toolset.

Providing direct support to the Learning & Development Coordinators and Course Owners.Coordinating and organizing meetings and events including venue bookings, equipment requirements, travel arrangements, inviting delegates, preparing presentations and reports.Organizing logistic requirements prior to all training sessions including booking rooms and AV equipment, ordering catering, as well as printing and materials for the course.Sending invites, reminders and pre-course work via various systems.Further checking in order to see if an employee is suitable for the course that they want to attend.Handling large amounts of data within the Service Level Agreement.Working with tight deadlines involving great amounts of unprocessed data.