- Interact with a diverse range of cross-functional stakeholders at all levels of the organisation.
- Define projects that build, deliver and manage solutions to meet business requirements.
- Provide global ownership regarding integration tool sets, workflows, and data.
- Define the appropriate governance structures and access models for analytics application support.
- Provide expert support, direction, and guidance to BAU team to investigate data issues and define resolution of data issues.
- Promote single source of the truth for key data elements.
- Manage and develop technical solutions to ensure design integrity and flexibility.
- Promote standards and policies for data management to include: data profiling, data management reporting, master data management.
- Investigate opportunities for Data & Analytics optimizations/ innovations and co-ordinate with Astellas stakeholders and user community.
- Support Astellas project teams and Business leads to get the best results from their data. (変更の範囲) 会社内での全ての業務 【組織 / Organizational Context】
- Reports to Head of Foundational Data & Analytics
- Works very closely with the Data & Analytics teams in ensuring overall architecture alignment of Data & Analytics platforms.
- Communicate regularly with peers to update progress, discuss concerns, priorities, and projects.
- Regular contact with subordinates to mentor them and their performance.
- Supports team members in the interactions with senior business leaders to understand their longer-term needs, responding with architectures and plans, and providing expert consultancy.
- Works with DigitalX Business Partners to Influence business leaders and business process owners to maintain consistency with Data architecture roadmap for their area and overall DigitalX architecture.
- Close collaboration with DigitalX Architecture & Technology teams
- Close collaboration with DigitalX Risk & Compliance to ensure the Platforms are fully compliant.
- Communicate regularly with industry groups and suppliers.
- Collaborate with external service provider account managers and senior SMEs. 【応募要件 / Qualifications】
- Proficiency in designing solutions per business customer use cases utilizing Analytics toolsets including R/Python platforms, high-performance computing, dense data storage, and ETL data capabilities.
- Ability to coordinate with multiple teams (infrastructure, cloud environment, application platforms, datalake, etc.) and integrate capabilities to create a unique product or platform that fulfills a business use case.
- Experience with Agile methodology and mindset.
- Demonstrated ability to work closely with business and IS stakeholders to ensure efficient and optimal utilization of Data & Analytics environments, initially in the context of clinical study insourcing and the support of enhanced foundational capabilities.
- Possess subject matter expertise on creating a data mesh or federated data architecture that can tap into data among disparate data warehouses, real-world data, and file-based data (structured and unstructured).
- Strong command of data warehousing concepts, tools like Talend, Azure Synapse, ADLS, Master Data Management (MDM) tools.
- Experience with BI and analytics platforms including QlikSense and Tableau.
- Proven ability to design end-to-end architectures aligned with business needs, ensuring support for scalable analytics.
- In-depth understanding of life sciences R&D business processes, adept at translating business requirements into effective technical solutions.
- Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.
- Project management capabilities, ensuring adherence to timelines for successful solution delivery.
- Demonstrated leadership skills, including guiding technical teams, offering mentorship, and influencing architectural decisions.
- Demonstrated commitment to staying current with the latest trends, technologies, and best practices in the data and analytics field.
- Relevant certifications in data and analytics tools/platforms are advantageous.
- Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.
- 7+ years of relevant experience in data and analytics applications roles.
- Master of Science degree in Computer Science, Information Systems, Data Science, or a related field.
- 5+ years experience in Life Sciences industry
- Advanced Analytics experience
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