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Senior Product Manager

Min Experience

8 years

Location

Huang pi bei lu, Shanghai, China

JobType

Full-time

About the job

Info This job is sourced from a job board

About the role

Create, plan, and implement data strategy in alignment with company direction to fulfill business needs, communicate effectively to key stakeholders and the product team​. Collaboration 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 presents 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 team. Forge product mindset for data related products, advocate such idea 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​. Understands financial impact of team and product related decisions​. Vendor management.

About the company

H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.

Skills

data mesh
agile
product vision
product roadmap
mvp
prioritization
planning
backlog management
market analysis
user documentation
okr
sql
data visualization