Data Strategy Promotion Planning Manager

6 Minutes ago • 3 Years +

Product Management

Job Description

PayPay, a fintech company launched in 2018, has grown to over 70 million users in about 7 years, with a diverse team from 50+ countries. We leverage AI and data to drive rapid service development and business growth. The Data Strategy Department aims to maximize data value creation by strengthening data governance, enabling business units to confidently launch new initiatives. We are seeking a professional to accelerate cross-organizational data utilization while ensuring proper governance for our vast data.

Good To Have:

Basic knowledge of statistical thinking and data science (hypothesis testing, regression analysis, A/B testing, etc.)
Practical skills in any data analysis language such as SQL, Python, R
Experience using cloud data platforms (BigQuery, Snowflake, Redshift, etc.)
Experience using BI tools and data visualization tools (e.g., Tableau, Looker, Power BI, etc.)
Basic knowledge and practical experience of web systems, etc. to understand data structures
Work experience in a company or department specializing in data analysis
Experience in medium to large-scale project management across multiple organizations
Experience in planning data utilization in the digital marketing domain
Experience in planning inter-company data utilization (data linkage) including global and inter-group
Experience in planning business processes for data utilization (data management using tools, approval process improvement, etc.)
Business English proficiency

Must Have:

Experience in data analysis and data utilization strategy planning or promotion (3+ years)
Problem-solving, strategic thinking, and hypothesis design ability
Experience proactively leading projects
Experience reporting to management and proposing strategies based on data
Knowledge and experience regarding the Personal Information Protection Law

Perks:

Opportunity to plan and execute data utilization strategies for over 70 million users' vast data
Opportunity to be involved in company-wide and group-wide operations centered on data
Ability to realize what you want to do and what you should do due to a flat organizational culture that values autonomy
Opportunity to challenge yourself to find and decide the right answer in a field without a clear answer
Exposure to new technologies related to data utilization and new concepts such as legal regulations for personal information in work
Annual paid leave (14 days in the first year, prorated according to the month of joining, usable from the date of joining)
Personal leave (5 days granted each year / 3 or 5 days granted in the first year depending on the month of joining, for personal/family/pet illness/injury/hospital visits, etc.)
Social insurance (health insurance, employee pension, employment insurance, worker's accident insurance)
Corporate defined contribution pension plan
Digital salary payment (partially via PayPay account)
Hybrid Workstyle (office, home, or satellite office for remote work)
Super flex-time system (no core time)

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Data Strategy Promotion Planning Manager

About PayPay

PayPay, a fintech company that launched its service in 2018, has surpassed 70 million users in approximately 7 years and is composed of diverse members from about 50 countries and regions.

We leverage the latest technologies, including AI, and data to achieve overwhelming speed in service development and business growth. We are looking for colleagues who are passionate about professionally promoting the widespread adoption of cashless payments in Japan and its use as a financial life platform, and who will work with us to create new value for users.

Mission of the Data Strategy Department

PayPay, with over 70 million users, is a data-driven company. In a company where data utilization is commonplace, the Data Strategy Department's mission is to "maximize data value creation." We will strengthen data governance from both offensive and defensive perspectives, creating an environment where business divisions can confidently and quickly launch new offensive measures.

Background of Recruitment

Until now, each business division at PayPay has been rapidly expanding its services. While data utilization has been routinely carried out at the service and departmental level, there is an increasing need to utilize data across services and the PayPay financial group. This recruitment seeks individuals who can join us in the challenge of accelerating cross-organizational data utilization while ensuring appropriate governance for our vast data.

About the Role

Depending on your aptitude, you will be responsible for some of the following tasks:

Planning, consideration, and promotion of company-wide data utilization strategies
Planning and management of data utilization infrastructure development between group companies
Planning and management of machine learning model development for company-wide use
Discovery of data utilization issues and proposal of solutions
Planning and operation of data science talent communities
Planning and implementation of user communication related to privacy
Development of various regulations and rules related to data
Administrative work related to the transfer of personal information for third-party provision and joint use
Risk assessment from a data governance perspective in various projects

Major Past Projects

DMBOK introduction and implementation project
Company-wide data management improvement planning and promotion
Inter-group data linkage planning and promotion
Internal analysis activity support
Planning and operation of data activity communities
Establishment of internal personal information management system

Highlights of this position

You can plan and execute data utilization strategies for a vast amount of data from over 70 million users.
You can be involved in operations across all groups and the entire company, centered on data.
Due to a flat organizational culture that values autonomy, you can realize what you want to do and what you should do.
You can challenge yourself to find and decide the right answer in a field where there is no single correct answer.
You can be exposed to new technologies related to data utilization and new concepts such as legal regulations for personal information in your work.

Required Experience/Skills

Experience in data analysis and data utilization strategy planning or promotion at a business company or consulting firm (3 years or more)
Problem-solving, strategic thinking, and hypothesis design ability
Experience proactively leading projects
Experience reporting to management and proposing strategies based on data
Knowledge and experience regarding the Personal Information Protection Law

Desirable Experience/Skills

Basic knowledge of statistical thinking and data science (hypothesis testing, regression analysis, A/B testing, etc.)
Practical skills in any data analysis language such as SQL, Python, R
Experience using cloud data platforms (BigQuery, Snowflake, Redshift, etc.)
Experience using BI tools and data visualization tools (e.g., Tableau, Looker, Power BI, etc.)
Basic knowledge and practical experience of web systems, etc. to understand data structures
Work experience in a company or department specializing in data analysis
Experience in medium to large-scale project management across multiple organizations
Experience in planning data utilization in the digital marketing domain
Experience in planning inter-company data utilization (data linkage) including global and inter-group
Experience in planning business processes for data utilization (data management using tools, approval process improvement, etc.)
Business English proficiency

Desired Candidate Profile

Someone who loves data and believes in its power
Someone who can discover problems and take responsibility for solving them proactively
Someone who can continue to learn
Someone who can work with a focus on speed
Someone who aligns with PayPay 5 senses

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Benefits and Conditions

Employment Type

Full-time employee

Work Location

Hybrid Workstyle (office, home, or satellite office for remote work)
*Please note: You will be required to come to the office/work remotely according to the rules of your affiliated organization and work instructions. Use of satellite offices is subject to the rules of your affiliated department.*

Working Hours

Super flex-time system (no core time)
Principle: 9:00 AM - 5:45 PM (7 hours 45 minutes actual work + 1 hour break)

Holidays

Saturdays, Sundays, public holidays, year-end and New Year holidays, and company-designated days

Leave (Statutory Leave and Company Benefits)

Annual paid leave (14 days in the first year, prorated according to the month of joining. Usable from the date of joining)
Personal leave (5 days granted each year / 3 or 5 days granted in the first year depending on the month of joining)
*This is PayPay's unique special paid leave system, which can be used for illness/injury/hospital visits for yourself, family, or pets.*

Salary

Annual salary system (including some fixed overtime pay)
Determined according to company regulations based on experience, skills, performance, and contribution
Reviewed once a year
Special bonus (incentive) paid once a year based on company performance and individual contribution
Overtime work allowance, late-night work allowance available