Director, Product Lead, Data & Analytics – Japan & Korea

Key Skills

Aartificial intelligence, Data Analytics, Finance, Japanese, Leadership Skill, Machine learning techniques, Operations, PowerBI, Product Development, Python Programming, SQL, Tableau

Job Description

What You’ll Do for Us

The role will collaborate with business function leaders and technology associates to lead 1) identifying business issues and opportunities 2) proposing right solutions from descriptive to predictive analytics product incl. ML/AI 3) re-use and scaling analytics assets across different business sectors by managing cross functional teams of product, technology, and subject matter experts to deliver projects and programs.

This role will report to Senior Director, Data & Analytics, Japan & South Korea Digital Services in Digital & Technology Services and work with Regional Delivery Center and external consultants as needed as one virtual team for development.

Role & Responsibilities

Product leadership

• Identify key business issues with deep business acumen by working closely with business stakeholders and propose data analytics solutions.
• Discover data sources necessary to design solution, work with business stakeholders to acquire them and collaborate with regional delivery center to develop the right data foundation required to develop analytics solutions.
• Lead product development to satisfy business requirement by collecting feedback from stakeholders and analyzing operation process and then guiding regional engineering team/external consultants on the development of the product.
• Design overall operation process and define role & responsibilities of stakeholders to run operation after production.
• Manage whole projects to launch products within pre-defined milestone by facilitating engagement of key stakeholders and allocating tasks properly as a technical expert.
• Train the business teams, monitor adoption and satisfaction of end users by tracking usage report, lead product updates to meet market and business changes, sunset the underutilized and create new offerings to meet emerging needs.
• Draw the long-term plan of data analysis products to evolve enterprise capabilities.
• Adapt global data analysis products for use in the Japan and South Korea operating unit and deploy them to deliver compelling end user experiences that drive business growth.

Stakeholder management

• Lead stakeholder engagement with the key senior functional leaders within Japan and South Korea operating unit and Coca-Cola system network demonstrating a deep understanding of their needs.
• Collaborate with data and analytics teams in other regions across the globe to lead projects successfully.
• Role model the behaviors of an enterprise leader – working across markets, functions and teams, ensuring clear accountabilities for all and optimizing value creation for the total company.

Qualifications & Requirements

• Minimum 8 years+ experience in the data analysis heavy environment such as data analysis, strategy consulting, finance, or associated field.
• Experience in driving incremental business value by leveraging different analytics technique.
• Knowledge of machine learning and AI and proficiency in SQL, Python.
• Experience of building ML/AI systems and managing Azure cloud platform are a strong plus.
• Expertise of BI tools such as Power BI, Tableau, Looker is preferred.
• Aptitude for communicating insights and collaborating across teams/organizations.
• Fluency in both Japanese and English.

What We Can Do for You:

• Leadership Development: Our Company’s purpose clearly speaks to the importance of leadership. We feel everyone has potential to be a great leader at Coca-Cola and have set the bar high.

• Total Rewards: Our benefits, called Total Rewards, is about the total value of working at The Coca-Cola Company. It is focused on the complete package of pay, benefits, learning and personal support you receive as a Coca-Cola employee.

• Learning & Development: At The Coca-Cola Company we believe innovation can't happen without continuous learning and we provide our employees many ways to grow professional and personally.

Skills:

User Experience (UX); Data to Insights; Data Analysis; Business Intelligence (BI); Data Warehousing (DW); Generative AI; Structured Query Language (SQL); Analytical Thinking; Relationship Management; Project Management; Big Data; Emerging Technology Trends and Practice

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.