Data Strategy Manager, Data Monetization -Business Strategy Section (RMI Strategy Office)
Rakuten Crimson House, Japan
Rakuten Mobile
Job Description:
About Organization
We are seeking a highly experienced Data Strategy Manager to join our Data Monetization Team within a leading telecom organization that is part of a larger group conglomerate. The ideal candidate will play a pivotal role in identifying, developing, and executing data monetization strategies for both internal group companies and external clients. This role requires a deep understanding of data-driven business models, pricing strategies, regulatory compliance, and product development in the telecommunications and digital services industry.
Job Duties
1. Data Monetization Strategy & Use Case Development
· Identify and prioritize high-value data use cases that can generate revenue for internal Rakuten group companies and external clients.
· Conduct market research to understand trends, competitive benchmarks, and regulatory implications of data monetization.
· Work closely with internal stakeholders (data & AI team, enterprise sales, revenue office, finance, etc.) to align monetization opportunities with business objectives.
2. Data Product Identification & Development
· Define and develop data products and services that can be commercialized, including data pipelines, aggregated insights, APIs, dashboards, and AI-driven analytics solutions.
· Collaborate with data engineering and analytics teams to ensure data availability, quality, and security for monetization.
· Design frameworks for scaling and expanding data product offerings across industries like finance, retail, healthcare, and advertising.
3. Pricing & Commercial Models
· Develop pricing models for data products based on market demand, competition, and customer willingness to pay.
· Propose and implement different pricing models including tiered pricing structures, subscription models, API-based pricing, and usage-based pricing.
· Work with finance teams to forecast revenue potential, ROI, and cost structures for monetized data services.
4. Stakeholder & Partner Management
· Engage with internal business units, group companies, and external partners to promote the adoption of monetized data products.
· Negotiate partnerships with third-party data buyers, analytics firms, and enterprise clients for long-term collaboration.
· Conduct training and evangelize the benefits of data monetization within the company.
Minimum Qualifications
· 10+ years of experience in data strategy, data monetization, analytics, or business development in the telecom, technology, or consulting industry.
· Strong expertise in data-driven business models, pricing strategies, and product development.
· Experience working with big data technologies, cloud platforms (AWS, GCP, Azure), and analytics tools.
· Strong analytical skills with expertise in market research, business case development, and financial modeling.
· Ability to work cross-functionally with senior leadership, data science, IT, and legal teams.
· Experience in managing data partnerships, licensing agreements, and customer negotiations.
· Strong communication and presentation skills to influence decision-makers and external partners
Preferred Qualifications
· MBA or Master’s degree in Data Science, Business Analytics, Economics, or related fields.
· Prior experience in telecom analytics, enterprise data sales, or digital transformation projects.
· Knowledge of AI, ML, and predictive analytics for advanced data product development.
· Proven track record of successfully launching data-driven business initiatives.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Big Data Business Analytics Consulting Data pipelines Data strategy Economics Engineering Finance GCP Machine Learning Market research Pipelines Research Security
Perks/benefits: Competitive pay
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