THE ROLE: (Small summary of what you are looking for)
The direct selling business model is inherently complex, featuring multi-tiered compensation plans, vast distributor networks, high-frequency repurchase behaviors, and strict compliance requirements. We are looking for a highly Hands-on Data Product Owner. You will not only be the strategic planner but also a data “geek” who can personally write SQL to validate logic, build dashboard prototypes, and dive deep into data modeling, using a solid data foundation to support the company’s ambitious growth targets.
HOW YOU WOULD CONTRIBUTE: (Responsibilities and tasks associated with the job) *limit to 8-10 bullets
1. Business Understanding & Data Product Strategy
- Business Side: Deeply understand the direct selling model (e.g., stair-step/breakaway plans, binary systems, member point systems). Map out the end-to-end business flow from customer acquisition, conversion, repurchase, and team expansion to commission settlement.
- Hands-on Insight: Proactively identify pain points rather than just waiting for business requests. Be able to personally extract behavioral data of the top 100 distributors, analyze their team churn or growth patterns, and reverse-engineer these insights to output the Data Product Roadmap.
2. Product Design & Prototype Development
- Business Side: Responsible for writing PRDs and designing workflows for internal business analysis platforms and external distributor-facing data empowerment tools (e.g., “My Performance,” “Team Funnel,” “Estimated Earnings” modules within the App).
- Hands-on Prototyping: No “paper-only” planning. Use BI tools (e.g., Tableau / PowerBI / FineBI) or low-code platforms to personally build high-fidelity interactive prototypes. Validate all interaction logic and drill-down paths using your own prototype before handing specs over to the frontend development team.
3. Deep Logic Validation & Data Foundation Co-building
- Business Side: Ensure that performance, bonuses, retention, and other metrics displayed in data products match the final accounts of the financial and business systems 100% accurately.
- Hands-on SQL & Logic Validation: This is a core daily routine for this role:
- Write complex SQL proficiently (multi-table joins, window functions, CTEs, etc.) to personally validate data definitions directly in the data warehouse (e.g., Hive/ClickHouse/Snowflake).
- During compensation rule changes or new product launches, manually pull order data and rebate rules to simulate calculations in Excel/Python, verifying the accuracy of data pipelines to ensure zero errors in bonus distribution logic.
- Converse fluently with data engineers, review DWD/DWS data model designs, and propose optimizations specific to the direct selling business (e.g., optimizing recursive queries or graph databases for “hierarchical sponsorship trees”).
4. Agile Delivery & Data Governance Execution
- Business Side: Act as the Product Owner, manage the Backlog, lead Sprint Planning, and control delivery priorities.
- Hands-on Data Dictionary & Permissions:
- Personally author and maintain the “Data Dictionary” and “Metric Definition Whitepaper” to eliminate data silos and conflicting metric definitions.
- Personally configure complex data permission isolation strategies in the system (e.g., Regional Managers see the macro dashboard, while distributors can only drill down to their immediate downline or next-level downline, strictly preventing cross-line or unauthorized data access).
5. Algorithm Empowerment & Product Promotion
- Business Side: Drive the implementation of advanced data products (e.g., smart inventory forecasting, distributor churn early warning, product recommendation engines).
- Hands-on Effect Tracking: Post-launch, personally configure tracking events, pull user behavior data, and analyze DAU, feature click-through rates, and business conversion lift. Prove the ROI of data products with data, driving continuous iteration.
