Senior Data Product Manager

**Position Summary**:
SHEIN is the largest online-only fashion company in the world We are seeking an experienced and proactive Data Product Owner to drive SHEIN Technologies' big data development process. As a large startup with various engineering teams collaborating with international counterparts, we require a skilled Product Owner to implement best practices in agile methodology specific to deliver the right data to the customer. The Data Product Owner will take ownership of the data development lifecycle, ensuring timely releases of the intake, fostering continuous communication, and monitoring and enhancing data quality. Leverage your influential leadership, data management expertise, and deep understanding of business processes to deliver valuable data solutions and enhance team effectiveness and velocity.

**Responsibilities**:

- Translating Data Requests: Collaborate with stakeholders to understand their data needs and transform ambiguous data requests into clear and actionable requirements. Capture and document these requirements in Jira tickets, ensuring effective communication between the team and stakeholders.
- Project Management: Demonstrate strong project management skills to oversee and manage many small-scale projects in parallel with the data domain. This may include tasks such as code alignment, data quality checks, or other related projects. Coordinate with cross-functional teams to ensure timely and successful project delivery.
- Compliance and Security: Ensure compliance with data governance policies, regulatory requirements, and data security standards. Collaborate with relevant stakeholders to address any compliance-related concerns and implement necessary safeguards to protect sensitive data.
- Data Quality Assurance: Coordinate data quality assurance throughout the product development lifecycle. Collaborate with data engineers and other relevant teams to implement and execute thorough data quality checks, ensuring accuracy, consistency, and reliability of data. Facilitate the identification and resolution of data quality issues or discrepancies by working closely with the appropriate stakeholders.
- Agile Methodology: Embrace and promote Agile principles and practices within the data development process. Collaborate closely with the Scrum Master and development team to prioritize and groom the product backlog, ensuring that the highest value features and data enhancements are delivered to customers.
- Stakeholder Collaboration: Engage with stakeholders located in different time zones, including data analysts, data scientists, and business users, to gather feedback, understand their needs, and ensure alignment between data development and business objectives. Proactively communicate updates, progress, and any potential issues to stakeholders, fostering strong and productive relationships.
- Continuous Improvement: Drive continuous improvement initiatives within the data product development lifecycle. Identify opportunities to optimize processes, enhance data quality, and increase team efficiency. Implement and advocate for best practices and emerging trends in data product management.

**Skills and Qualifications**:

- Bachelor's degree or higher in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) Additional certifications or specialized training in data management or product ownership are advantageous.
- 5+ years as a Data Product Owner or in a similar role. Demonstrates a strong understanding of data management principles and the ability to translate business needs into actionable tasks for data development. Proficient in managing the backlog, prioritizing features, and collaborating with stakeholders.
- Expert in Agile/Scrum methodologies.
- A minimum of 3 years demonstrated ability to write complex SQL to conduct data transformations, perform data analysis, and leverage SQL for data querying and manipulation.
- E-Commerce industry experience is preferred. Need to have a solid understanding of business processes, strategies, and requirements. Ensuring alignment and effective communication between business and data developers.
- Familiarity with big data technologies, data engineering concepts, and development fundamentals. Understanding of data architecture, data pipelines, and data integration to make informed decisions and propose technical solutions.
- Attention to detail and ability to perform data quality checks, ensuring accuracy, completeness, and compliance with data standards. Proficiency in data validation and verification processes.
- Strong project management skills with the ability to plan, organize, and execute projects effectively. Experience in managing data-related projects, coordinating resources, and ensuring timely delivery.