Leads IR planning, investor targeting, institutional-investor meetings and overseas roadshows, while preparing management materials and advising leadership from investor dialogue.
About this role
This role leads business development for AI- and data-based solutions that improve store management in the retail and distribution sector. The work begins with discussions with executives and business leaders at customer companies to structure store-operation and management challenges. The role designs an appropriate solution, leads the project from problem definition through implementation, adoption and outcome creation, and focuses on value creation after the sales team establishes the customer contact.
The role also converts knowledge from individual customer projects into improvements to products and services. It is responsible for identifying reusable patterns across different customers, supporting standardization and commercialization, and contributing directly to business growth. Day-to-day work includes analyzing customer business models and operational processes, forming hypotheses about management and store-operation issues, defining solutions through executive discussions, coordinating stakeholders, and working with data scientists and development teams to set the direction of analysis and feature development.
Required experience includes either leading end-to-end projects at manager level or above in a consulting firm, from organizing customer issues through solution proposals, implementation, adoption support and outcomes, or leading customer-executive issue definition, proposals, opportunity acquisition and delivery at an operating company, IT company or SaaS company. Candidates must also have led decision-making and delivery for enterprise executives or business owners, structured complex business or operational issues, proposed combinations of multiple services or solutions, and driven projects and consensus building among diverse internal and external stakeholders.
Required skills include defining and proposing value based on business transformation and return on investment, structuring customer issues, business information and data to support decisions, designing solutions that combine multiple products or services, and maintaining leadership through delivery and outcome creation. Experience with retail or chain-store companies, startup environments or new-business development, and AI or data-utilization projects is welcomed.
The business integrates field data from cameras and sensors with existing sales and inventory data, then uses AI for analysis and visualization. It aims to connect information across headquarters, stores and management, while covering implementation, operation and improvement in the field. The solutions are moving from proof-of-concept toward commercialization, and the team is developing a common platform for shared retail-industry challenges by abstracting enterprise project knowledge into standard product functions.
The position belongs to the Smart M&S business unit within the Data Solutions Business Division. The unit serves the retail, distribution and manufacturing sectors through solutions for field-data visualization and analysis, smart maintenance and operational monitoring. The unit has 13 members overall, including 10 to 11 in the retail domain, with sales, product management, marketing and project-support functions. Development is currently outsourced, with gradual in-house development planned. The team works with Omron Field Engineering and JMDC data scientists. The stated work locations are the Tokyo office in Shinagawa and the OFE headquarters in Shinkawa, Chuo-ku, Tokyo. The position is listed as a managerial role.
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