Data Management Operationas

Play a role in powering AstraZeneca and helping all of us to fulfill our ambitions. As valued partners across the enterprise, we provide the platform for excellence and performance to happen. We draw on our network of diverse minds, harnessing our unique views and ideas to improve how we run. It means every day we power ourselves and others to focus on important and impactful work.The Data Management Assistant Manager is responsible maintaining daily interactions with US SFO to ensure their requirements are properly addressed and supported by operational and project activities, performed by the nearshore direct reports and the offshore teams. This includes participation in the business meetings, collection of the business requirements, conversion of the business requirements into specific tasks or group of tasks, handling escalations, coordination of the execution of the tasks locally or by the offshore teams, monitoring of the queues with data change requests, non-standard requests, business questions and queries, issues identification and their resolution, priorities management and proper workload balancing among the team members.Data Management Assistant Manager ensures that the activities performed by the team are following agreed SOPs, meeting desired data quality standards and SLAs. Person in the role is responsible for identification and implementation of the continuous improvements and automations resulting in efficiencies and improved customer service. On top of that, Data Management Assistant Manager is expected to work on the proper onboarding of new hires, performance management and development processes of her/his team members.- Proactively interact with US SFO to understand and properly address the business requirements- Collect business requirements and translate them into operational and project tasks- Manage and prioritize (if required) escalations regarding Health Care Master, Product Master, Consumer Master or Business Question Central- Interact with offshore teams and managers to ensure proper distribution and prioritization of the tasks- Monitor execution of the daily tasks of the team- Define and implement KPIs driving service delivery with excellence- Provide regular reporting to manager and key stakeholders on the service performance- Manage priorities for the direct reports in alignment with key stakeholders and manager- Coordinate introduction of new data sets both internal and external to ensure they meet the required quality and data standards- Manage calendar of periodic tasks to ensure availability of the resources to meet the required deadlines- Identify and implement Continuous Improvements and automation- Define and coordinate Data Quality initiatives for the data in scope- Manage the organizational setup of the direct reports and adjust it to current scope and business needs- Identify, analyse root cause and coordinate the resolution of data issues- Review and update Standard Operating Procedures to ensure their adherence to the operational and business needs- Generate, analyse and present to Data Management Lead and stakeholders operational reports and data reports- Liaise with IT and other Company’s function to ensure that systems and tools required for service delivery are running without issues- Identify systems and tools enhancements and work with the respective IT support teams on their implementation- Coordinate implementation of new systems and tools- On-board new team members to the roles- Perform performance management program- Work with the direct reports on their development plans and actions- Define and align with HR Business Partners on the training plans for the team membersQualifications:- At least 3 years people management experience in shared service environment in the Pharma Industry,- Working experience in data management with MDM solutions (Reltio, STIBO, TIBCO),- Working experience with CRM solutions- Working experience with external data providers in Pharma industry (e.g. IQVIA, Veeva),- Experience in delivering projects in data management area- Background in data analysis and issue investigation in a complex data and system environment- Good understanding of data quality and data management principles- Proactive, analytical and investigative mindset- English proficiency- Strong customer focus and customer service attitude,- Strong written and verbal communication skills- Able to present data and reports in an easily understandable format- Experience in establishing new team or service,- Experience in coordination of knowledge transfer activities among various teams and locations.