Royal Canin
Regional Data Lead APAC
上海, 中国
Everything we do is driven by our passion for pets. Across every role and every location around the world, our teams are united by a shared purpose: creating A Better World For Pets. As a truly pet-centric company, we put pets at the heart of everything—from the products we create to the care and expertise we bring to our work. Whether you’re in R&D, manufacturing, customer care, or any of the corporate functions, your contributions make a direct impact on the health of pets everywhere. We’re also deeply committed to the growth and development of our associates, offering opportunities to learn, innovate, and make a difference every day.
- Job Type: varies
- Level: mid-level
- Travel: varies
- Average Salary: $63K-$96K
Success Profile
What makes a successful Regional Data Lead APAC at Royal Canin? We look for the right mix of the following traits when speaking with you.
- Analytical
- Curious
- Efficient
- Responsible
- Results-driven
- Team player
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Purpose
Connect your passion for pets to the purpose: A Better World For Pets
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Health & Wellbeing
A comprehensive focus on your individual health & wellbeing
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Inclusion
A place where you can belong and be yourself
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Career development
Professional learning offerings, annual personal development plans, Mars University
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Attractive total rewards
Your financial wellbeing through a competitve salary and bonus plan
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Focus on sustainability
We invest in you so you can make a better world
What I love most about Royal Canin is how pet-centric we are—everything we do revolves around improving the lives of pets. It’s not just about creating high-quality products; it’s about living our purpose every day. At the same time, Royal Canin invests in us as associates, helping us grow, develop our skills, and find real meaning in our work. It’s inspiring to be part of a global team that prioritizes both pet health and personal development.
Christina Sermak-Frankowski People & Organization Director, Learning & Culture
Job Summary：
The Regional Data Lead APAC plays a critical role in ensuring core data assets are managed and governed effectively. Working alongside other data leaders, it focuses on enabling the organization to extract value from data while maintaining compliance and quality standards. This role bridges strategy, operations, and governance, and works with technical and product leadership to ensure the data roadmap for Asia Pacific is an enabler of the analytics product development strategy.
What are we looking for?
- 4-7 years of experience in data management, governance, engineering, integration, or related roles, with exposure to relevant data domains (e.g., Finance, Supply Chain, Sales, Marketing).
- Understanding of applying data governance principles, DQM, compliance standards and security protocols to global data environments.
- Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI).
- Experience with DevOps principles such as CI/CD, unit testing. Project Ownership skills with the ability to operate in Agile Product framework.
- Conversant with Data Regulations and Laws e.g. GDPR, CCPA, PIPL
- Experience with big data technologies, ETL processes and Data modeling (ideally Microsoft Azure).
- Required: Bachelor’s degree in Computer Science, Data Engineering or related STEM (Science, Technology, Engineering, Mathematics) subject or similar
- Preferred: Masters degree in above fields
- Preferred: Accreditations/certifications (e.g. DAMA) in data management and/or data governance practices is desirable
- Preferred: Professional certifications in SQL, Python, CAP, Microsoft certification
What will be your key responsibilities?
Strategic Data Management
- Execute the vision, strategy, and roadmap for APAC data domains in alignment with organizational goals and global data leadership.
- Collaborate with business and IT stakeholders to prioritize data initiatives based on business value and strategic alignment.
- Anticipate the data needs of product squads to unlock faster speed to value and insight.
- Promote data as a strategic asset within the domain and across the organization.
Adherence to Data Governance & Compliance Standards
- Ensure adherence to data governance frameworks, policies, and standards.
- Ensure data quality management is applied across domains, including defining metrics, monitoring processes, and remediating issues.
- Ensure compliance with relevant regulations and internal policies, such as GDPR, CCPA, or industry-specific standards.
Data Asset Delivery & Operations
- Drive the development and maintenance of core data assets within the domain (e.g., master data, transactional data, reference data).
- Partner with data engineering teams to implement scalable data solutions.
- Oversee data lifecycle management, including acquisition, storage, transformation, and archiving processes.
- Monitor the operational performance of data systems and resolve escalated issues.
- Optimize processes to improve data availability, reliability, and usability.
Stakeholder Management
- Act as the primary point of contact for data-related matters within the domain.
- Work closely with functional leaders, business analysts, and other domain managers to understand requirements and translate them into actionable plans.
- Align with global data domain leads on any areas of overlap.
- Ensure transparency in data priorities, progress, and decision-making.
- Analytics Enablement
- Support analytics and reporting needs by ensuring the availability of high-quality, well-documented, and governed datasets.
- Partner with analytics and data science teams to deliver insights and drive innovation within the domain.
What can you expect from Mars?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.