Head of Data Management - Multinational (WFO)

About Our Client

Client is one of the well-known multinational companies in technology sector.

Job Description

1. Data planning: Establish data analysis objectives aligned with business strategy and execute a roadmap accordingly.

2. Data analysis: Define and outline data analysis objectives, conducting modeling, verification, testing, and application processes.

3. Data-driven decision-making: Investigate and derive insights to support decision-making across business, market, and product strategies.

4. Decision effect verification: Develop methodologies like A/B Testing and simulation to validate decision impacts on business.

5. Algorithm implementation: Execute, evaluate, and validate algorithms for data analysis purposes.

6. Cloud expertise: Understand the workings of major cloud platforms like GCP and AWS, crucial for extensive usage in data processing.

7. Security assurance: Ensure adherence to security guidelines, particularly in safeguarding sensitive data like PII, by comprehending security terminologies and data protection methods.

8. Data Engineering: Understand data production and modification processes, with advantageous knowledge in server development to address data organization challenges for effective analysis.

9. Compliance adherence: Abide by SE processes in creating dashboards, data pipelines, and related tasks, possessing knowledge of standards like CQM, SAM, and TCA.

10. Proficient in privacy data protection principles, including GDPR compliance, along with leadership responsibilities like team supervision, short-term action planning, method enhancement, and expertise in various job areas within the domain.

The Successful Applicant

• Bachelor's degree with at least 12 years of relevant experience, or Master's degree with at least 10 years of experience, or PhD with at least 7 years of experience.
• Strong experience in setting data analysis goals aligned with business strategy and executing plans accordingly.
• Proficiency in defining data analysis objectives, conducting modeling, verification, testing, and application processes.
• Ability to investigate and extract insights to support decision-making across business, market, and product strategies.
• Skills in developing methods like A/B Testing and simulation to validate decision impacts.
• Competence in implementing, evaluating, and validating algorithms for data analysis.
• Understanding of major cloud platforms like GCP and AWS for data processing.
• Knowledge of security guidelines for safeguarding sensitive data like PII.
• Understanding of data production and modification processes, with knowledge in server development as a plus.
• Familiarity with compliance standards like CQM, SAM, and TCA.
• Proficient in privacy data protection principles, including GDPR compliance, and capable of leadership responsibilities.

What's on Offer

• Join a well-known multinational company and chance for international exposure
• Business stability, big corporate
• Competitive salary & benefit