达能中国

MAIN RESPONSIBILITIES

1. Identifying the business demand and assessing the value

- Assess data product demands, quantify business value, and prioritize delivery

- Identify business pain points through user personas/journey mapping, and establish value frameworks

2. Developing and prioritizing the product roadmap

- Develop and maintain product demand roadmap with dynamic prioritization

- Manage backlog alignment with evolving business objectives

3. Guiding development by articulating business challenges and required functionalities

- Articulate the objectives, outcomes, and business value to be delivered by the development team

- Lead user story development, acceptance criteria definition, and technical backlog refinement of the data and AI products

- Facilitate agile ceremonies (stand-ups/reviews/retrospectives) and key stakeholder Show & Tell sessions

4. Ensuring value is delivered in deployments and rollouts

- Design success metrics (leading/lagging indicators) and UAT test scenarios

- Partner with business stakeholders on adoption strategies and post-mortem reviews

5. Stakeholder Collaboration

- Present value propositions to executive sponsors

- Maintain business-tech alignment through continuous feedback loops

Requirements

1. Delivery Focus

- At least 5 years of data product ownership and management experience

- Deep understanding of artificial intelligence technology

- Be able to translate business needs into product design and development

- Hands- on experience on data engineering, data analysis and governance processes

2. Agile Experience

- Experience working within agile teams through at least one of the agile frameworks – Scrum, Kanban etc.

- Demonstrated the ability to break work down into separate areas of discrete functionalities in the form of product epics, features and stories

3. Business Analysis

- Demonstrated strong business analysis skills working with business teams to identify and assess the value of different needs to enable prioritization

4. Collaboration and Communication

- Collaborate with cross-functional teams including procurement, manufacturing, supply chain, and sales etc. to ensure the total product lifecycle management

- Demonstrated influence and the ability to have crucial and difficult conversations

5. Experience & Education

- Experience in FMCG or Retail Industry

- Bachelor’s degree or above in computer science, mathematics or equivalent, Master in relevant areas will be a plus