Data Platforms Operations Expert

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com (https://www.astellas.com/en) . Are you driven to make a real difference in the lives of patients We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact. Purpose And Scope The Data Operations Specialist is responsible for implementing practical and efficient ways to organize and process data, to enable measurement, analytics and reporting that will be used to develop actionable insight for inclusion in reports that communicate the value of Data Strategy activities. In this role, you are to build and cultivate trusted partnerships with groups from various areas of the company (within Data Strategy and outside such as with Omnichannel Strategy & Operations, Information Systems (DX), Finance, Legal, Ethics & Compliance, etc.) as well as with external vendors/suppliers. Your focus is enforcing data standards. Your pivotal responsibility lies in fostering effective collaboration, communication, and strategic alignment with the mentioned groups to propel the Data Strategy practice forward in the quality and efficiency of their analytics and reporting. This role operates within the Customer Engagement Excellence (CEE) group, which supports capabilities across VALUE Delivery, including Commercial (Sales/Marketing), Market Access and Medical Affairs, whilst prioritizing ethical decision making. During all such activities, there is a need to ensure that the integrity and independence of Medical Affairs capabilities is not compromised. You are expected to proactively communicate and consult with your Chapter and Value Team Leads as necessary to ensure that the integrity and independence of Medical Affairs is maintained at all times. This is a global role that is also expected to build trusted partnerships with global, regional, and affiliate groups from various areas of the company (with co-colleagues within Value Delivery and outside such as Information Systems (DX), Brand teams, Procurement, HR, etc.) as well as with external vendors/suppliers. Your strategic mindset and commitment to modern data technologies will be key in shaping our data landscape. The Chapter Member receives capability and skillset development under the guidance of the Chapter Lead, who provides coaching and mentoring within the Agile model. Responsibilities And Accountabilities Data Sourcing & Acquisition: Work closely with Business to understand data needs, assess and prioritize new data use cases, and ensure Analytics Data Layer supports business reporting and measurable outcomes. Conduct due diligence to validate data quality, reliability, and alignment with business objectives. Serve as an SME for data pipeline (including ADL, Databricks, and legacy data management) and technical SME for dashboards which consume data. Identify and implement opportunities for efficiency gains in data workflows, processes, and systems. Continuously evaluate tools, technologies, and methodologies to improve data operations efficiency and scalability. Data Onboarding: Ensure data is properly formatted, validated, and transformed for marketing analytics and reporting, holding external vendors accountable for data accuracy and timeliness. Establish data validation frameworks to assess the completeness, timeliness, and accuracy of onboarded datasets, implementing monitoring mechanisms to detect and resolve integration issues proactively. Partner with IT teams to ensure smooth integration of new data sources into the organization's data infrastructure. Clean, standardize, and transform data to align with marketing and analytical requirements. Create and maintain comprehensive data dictionaries and metadata documentation. Data Management & Governance: Define, implement, and ensure adherence to data standards for structure, consistency, and interoperability across systems and teams. Oversee the storage, organization, and accessibility of promotional marketing data ensuring compliance with internal governance standards. Develop and enforce data quality standards to maintain data accuracy, consistency, and completeness. Partner with stakeholders to create standardized data taxonomies and classification frameworks to improve usability. Partner with stakeholders to transform ingested data into analytic ready formats. Monitor and troubleshoot data issues, implementing corrective measures when necessary, communicating data-related issues and resolutions to stakeholders. Provide strategic guidance