Senior Product Manager

About the Role

Key Responsibilities

• Create, plan, and implement data strategy in alignment with company direction to fulfill business needs, communicate effectively to key stakeholders and the product team.
• Collaborate with stakeholders to ensure data vision and product developments align with business strategy and priorities.
• Responsible for product specific OKRs and KPIs once solution enters production; visualize and present regular data tracking to stakeholders.
• Own and maintain the backlog, prioritize based on the given initiatives, brand plan and business priorities.
• Drive the service model of serving "data as a service" concept, to meet all sorts of data needs from business teams, analytics team and other product teams.
• Forge a product mindset for data related products, advocate such ideas to teams and deliver data products that are discoverable, reusable, self-descriptive, security & privacy compliant, trustworthy, and interoperable.
• Work with other Product Managers to ensure interfaces align with other products and shared OKRs and KPIs are maintained and updated.
• Define, implement, and track performance metrics once solutions enter production.
• Understand the financial impact of team and product related decisions.
• Manage vendor relationships.

Requirements

• Bachelor's degree in a related field such as Business, Statistics, IT Technology or a relevant discipline.
• Ability to build end-to-end data product and platform strategy, including scope, roadmap, OKRs, and KPIs, and understand product development from ideation to release.
• Ability to drive cross-functional development, prioritize work, and inspire teams to improve.
• Ability to influence decision makers and manage collaboration partners to achieve the product mission.
• Familiarity with Customer Data Platform implementations, including tagging, customer profiling, behavioral data tracking, segmentation, etc.
• Strong sense of business and data with logical thinking.
• Effective communication, inspiring speaking and presentation skills, and being a team player.
• Fluent in English.

Nice to Have

• Experience collaborating with or working in leading data service providers in China for the fashion apparel industry.
• Experience on Tmall, JD databank, and other digital platforms.

Qualifications

• 8-10 years of experience in the retail industry, understanding key data metrics of e-commerce, CRM, merchandising, and store operations.