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Sr Manager, Data Management & Enablement - ¿Ü±¹°è ÆÐ¼Ç ºê·£µå

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Data Management Enablement

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- Lead strategic direction and execution of data enablement and activation across Korea
- Establish holistic data governance framework, including Client Data, ensuring quality, security, and accessibility
- Oversee end-to-end management and delivery of data programs
- Partner with Regional Digital Solutions team to ensure alignment and consistency
- Drive data activation and actionable insights to support business decision-making
- Enable targeted client engagement across business divisions
- Foster operational excellence, continuous improvement, and measurable impact
- Contribute to business growth and digital transformation in Korea
- Korean language proficiency required for effective stakeholder communication

1. Data Governance
a. Lead the Data Governance Committee, facilitating meetings, setting agendas, and driving cross-functional collaboration to support the Head of Digital Solutions in steering the organization¡¯s data governance strategy.
b. Follow global data governance policies, procedures, and standards to ensure holistic and compliant management of all company data, including Client Data.
c. Ensure compliance with all relevant local and global data privacy regulations, and champion best practices in data quality, security, privacy, and accessibility.
d. Establish data stewardship frameworks and partner with business and technical stakeholders to monitor, measure, and continuously improve data quality, integrity, and usability.
e. Collaborate with the Regional Data team and other divisions to harmonize data governance, optimize data architecture, and drive standardization across systems and processes.

2. Data Program Management
a. Oversee the planning, execution, and delivery of key data initiatives and projects, ensuring alignment with business objectives with measurable targets and benefits.
b. Manage data program roadmaps, resources, and risk, reporting on outcomes and driving continuous improvement.
c. Represent Korea to proactively address challenges and coordinate dependencies with regional and global data platform roadmaps.
d. Monitor industry trends, risks, and opportunities in the data domain; propose strategic responses to maintain competitive advantage.
e. Build compelling business cases and support executive presentations to demonstrate the value of data programs.
f. Lead retrospectives and identify opportunities to improve data management practices, tools, and methodologies.

3. Client Data Management & Enablement
a. Oversee day-to-day operations to ensure client data accuracy, consistency, and integrity.
b. Collaborate with global, regional and local data stewards to uphold data standards and ensure secure, compliant data management.
c. Closely partner with Regional Data team who are responsible for the technical environment and infrastructure where data is stored and who are managing and maintaining the data systems, ensuring data security, and implementing data policies.
d. Facilitate and enable digital marketing activation and data insights in Korea by liaising with client data platform and solution owners for data reliability and platform stability.

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Á÷¹«±â¼ú: Data Management


- Good knowledge of data platforms, solutions and technologies.

- Excellent communication and presentation skills, with the ability to articulate data concepts and strategies to stakeholders.

- Strong leadership and team management skills, with a proven track record of mentoring and developing data professionals.

- Experience with data governance frameworks and compliance with data regulations.

- Ability to work in a fast-paced, collaborative environment and manage multiple projects simultaneously.

- A pioneering spirit, matched with a profound reverence for the traditions that define Company.

- Proficiency in working across multiple stakeholders from data, business, digital, and technology teams to drive overall strategies.

- Good knowledge of data management tools and technologies, including SQL, Python, and data visualization tools.

- Exposure to machine learning and data analytics methodologies



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