赛诺菲
data classification standards and definitions partner
data classification standards and definitions partner
发布于 大约 7 小时前普通员工/个人贡献者
Budapest, Hungary
中级经验
全职员工
混合式弹性办公
本科
信息技术与基础设施
AI/ML
GDPR
Data Governance
AI 估算 · 4k–6k
布达佩斯中级数据治理岗位，跨国药企，薪资具有竞争力，综合市场水平估算。
职位详情
关于这个职位
This role is responsible for establishing and maintaining consistent data standards across Workday, ensuring data quality and governance for global operations. You will lead data classification, analyze system issues, and support AI readiness. Ideal for data professionals seeking impact in a global pharmaceutical company.
最低要求
Education & Experience
Bachelor's degree in Data Management, Information Systems, Business Administration, or related field
years of experience in data management, data governance, or business analysis roles
Proven experience with Workday HCM/Financial systems and configuration management
Experience with data classification, metadata management, and data quality initiatives
Technical Skills
Strong understanding of Workday architecture, configurations, and data structures
Experience with data governance tools and methodologies
Knowledge of data lineage, data cataloging, and metadata management practices
Familiarity with data quality assessment and remediation techniques
Understanding of regulatory compliance requirements (GDPR, data privacy, etc.)
Core Competencies
Excellent analytical and problem-solving skills with attention to detail
Strong communication skills with ability to translate technical concepts for business stakeholders
Project management capabilities with experience leading cross-functional initiatives
Change management skills and ability to influence without direct authority
Global mindset with understanding of regional compliance and business requirements
工作职责
Data Standards & Governance
Translate business decisions into usable, consistent data assets across the organization
Document and maintain approved data definitions and data quality (DQ) rules
Maintain comprehensive data catalog, glossary, lineage documentation, and standardized definitions
Ensure data consistency and traceability across all systems and processes
Data Classification & Management
Lead data classification initiatives to categorize and organize enterprise data assets
Classify data according to sensitivity, regulatory requirements, and business criticality
Manage data sharing agreements and ensure appropriate access controls
Serve as key point of contact for domain-specific data knowledge and expertise
Workday Data Analysis & Optimization
Investigate root causes of data issues across Workday systems (beyond detection to resolution)
Analyze local Workday rules, validations, and configurations that impact global standardization efforts
Identify where local configurations create barriers to cloning or implementing global standards
Distinguish between legitimate legal/compliance constraints and legacy or preference-based rules
Data Foundation Enablement
Enable data initiatives for the Data Foundation and serve as key subject matter expert within assigned scope
Support AI and analytics initiatives through proper data classification and standardization
Collaborate with Data Foundation team to ensure data readiness for advanced analytics and AI applications
Training & Knowledge Management
Train and support Local Data Champions across regions and business units
Build comprehensive knowledge content on data management for AI applications and employee self-service
Develop training materials and documentation to support data literacy initiatives
Facilitate knowledge transfer and best practice sharing across the organization
优先资格
Preferred Qualifications
Workday certification in HCM, Financial Management, or related modules
Experience with data governance frameworks (DAMA-DMBOK, DCAM, etc.)
Knowledge of AI/ML data requirements and data preparation processes
Experience in pharmaceutical, healthcare, or highly regulated industries
Multilingual capabilities to support global operations
AI 洞察
优缺点分析
优点
- Work for a top global pharmaceutical company with a strong employer brand and award-winning Budapest hub.
- Hybrid working model provides flexibility and work-life balance.
- Gain deep expertise in data governance and Workday, a highly sought-after skill set.
- Opportunity to work on data readiness for AI and analytics, a future-forward domain.
- Requires coordination across global teams and time zones, demanding strong cross-cultural communication.
- Data governance can sometimes face resistance from business stakeholders who prioritize speed over consistency.
- Must stay current with evolving regulatory requirements like GDPR and industry standards.
- This role suits a detail-oriented data professional with a passion for data quality and governance, who enjoys working across functions and influencing without direct authority.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior data governance manager or data architect within a global pharmaceutical company.
- Expand into AI data engineering or data science support with advanced analytics exposure.
- Become a regional or global lead for data standards in highly regulated industries.
- Define and maintain data standards, definitions, and quality rules for global Workday implementation.
- Lead data classification initiatives to organize enterprise data by sensitivity, regulatory requirements, and criticality.
- Analyze local Workday configurations to identify barriers to global standardization and resolve data issues.
- Enable AI and analytics by ensuring proper data classification and readiness.
- Deep knowledge of Workday HCM/Financial architecture, configurations, and data structures.
- Expertise in data governance frameworks, data cataloging, lineage, and metadata management.
- Strong analytical and problem-solving skills to investigate data root causes.
- Excellent communication and project management to drive cross-functional initiatives.
申请策略
- Research Sanofi's Budapest Hub awards and highlight interest in global data standards.
- Prepare a specific example of resolving a data conflict between local and global standards.
- Emphasize hands-on experience with Workday configuration and data governance projects.
- Quantify achievements in data classification, quality improvement, or standardization.
- Showcase training or change management initiatives for data literacy.
- List any familiarity with AI/ML data preparation or pharmaceutical compliance.
- Obtain Workday certification in HCM or Financial modules to stand out.
- Study data governance frameworks like DAMA-DMBOK or DCAM.
面试指南
- Use the STAR method (Situation, Task, Action, Result) to structure examples.
- Demonstrate a balance between technical detail and business communication.
- Show how you prioritize and influence without direct authority.
- How do you classify data sensitivity and ensure GDPR compliance?
- Describe a time you had to standardize data across multiple regions with conflicting local rules.
- How would you approach a business stakeholder who resists data governance changes?
- Explain how you would investigate a data quality issue in Workday and find root cause.
- What experience do you have with data cataloging and lineage documentation?
职位点评
72
综合评分
Global pharma data governance role with strong development opportunities, hybrid work, and solid benefits package.
更适合这类人
Best suited for candidates prioritizing skill growth in data governance and Workday, with a moderate need for compensation and lifestyle balance.
表现最好
成长发展
相对薄弱
使命价值
薪资福利70
成长发展80
工作生活75
使命价值65
薪资福利
70中等
The salary is competitive for Budapest but not disclosed; benefits include healthcare, parental leave, and wellness programs. Overall compensation is solid for the region.
薪资信号未披露（AI估算：4K-6K/月）
福利待遇high-quality healthcare、prevention and wellness programs、at least 14 weeks’ gender-neutral parental leave
成长发展
80较高
The role offers strong skill development in data governance, Workday, and AI readiness. Growth opportunities are explicitly mentioned with promotions and lateral moves.
技术前沿主流现代技术
技术栈Workday、Data Governance、Data Classification、AI/ML
成长机会opportunities to grow your talent、promotion or lateral move
业务类型cost_center
工作生活
75中等
Hybrid working provides flexibility, and the Budapest office is award-winning. No explicit WLB promises, but benefits suggest a supportive environment.
工作模式混合式弹性办公
办公地点海外（不适用）
加班情况未提及（无法判断）
使命价值
65中等
Working in pharmaceutical data governance contributes to patient health indirectly, but the role is internal-facing. Industry is stable with moderate innovation.
行业发展稳定成熟行业
社会影响中性/一般
使命信号Bring the miracles of science to life
创新程度稳健跟随主流
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