Data Product Manager

岗位职责（中文） 主导数据产品矩阵的整体规划——数据仓库、数据平台、自助 BI、风控数据服务的产品路线图。 负责需求收集、问题定义、用户研究、PRD 输出；把内部业务诉求翻译成可落地的数据产品迭代计划。 建立数据资产 / 指标 / 口径的产品化运营机制——上线、版本、口径变更、影响评估、用户告知。 主导跨团队（数据、风控、产品、合规、业务）协同，对齐 OKR、里程碑与交付承诺。 度量数据产品的业务价值（采纳率、复用率、自动化覆盖率、决策时长缩短），以数据驱动 ROI。 Responsibilities (English) Own the roadmap for the data product portfolio — warehouse, platform, self-service BI and risk-as-a-service. Run discovery, problem definition, user research, PRD authoring; translate business asks into shippable product iterations. Build product operations for data assets, metrics and semantics — releases, versioning, breaking-change comms, impact analysis. Lead cross-functional alignment (data, risk, product, compliance, business) on OKRs, milestones and delivery commitments. Measure business value (adoption, reuse, self-service coverage, time-to-decision); drive ROI with data. Lead and grow a 2–3 person Data PM team; codify methodology. 任职要求 本科及以上学历，8 年以上互联网 / 金融 PM 经验，至少 5 年数据 / 分析 / 平台型产品经验。 熟悉数据仓库 / 数据平台 / BI 工具的产品形态，能与工程师讨论技术细节。 熟悉金融业务（信贷、风控、支付、催收）至少一个领域的指标体系。 优秀的需求拆解、文档输出、向上汇报与跨团队推动能力。 数据驱动思维，能定义和度量产品成功标准。 Requirements (English) Bachelor's or above; 8+ years PM experience in internet / finance; 5+ years on data / analytics / platform products. Familiar with the product shape of DW / data platforms / BI tools; comfortable discussing technical detail with engineers. Familiar with metrics for at least one financial domain (lending, risk, payments, collections). Strong scoping, written-spec, upward-comms and cross-functional drive. Data-driven mindset; able to define and measure product success. 加分项 / Nice to Have 0→1 数据产品孵化经验 ｜ 0→1 data-product incubation. 熟悉数据契约（Data Contract）、指标平台、Reverse ETL ｜ Data contracts, metric stores, Reverse ETL. 算法 / 统计基础 ｜ ML / statistics fundamentals.