数据产品经理
Data Product Manager
职位概述
Level Access 正在寻找一位数据产品经理，负责打造企业级数据产品，为业务中的报告、分析、运营智能和人工智能驱动的工作流程提供支持。
向高级业务系统总监汇报，该职位将业务利益相关者与数据与人工智能工程团队连接起来，将业务问题转化为可信赖的数据产品、可重用的上下文、分析能力和人工智能就绪的解决方案。
此职位的成功不是以交付的数据量来衡量，而是以实现的业务成果来衡量。
职责
负责数据产品路线图
- 与业务领导者合作，识别高价值的数据、分析、自动化和人工智能机会。
- 将业务目标转化为可重用数据产品和能力的优先路线图。
- 根据业务影响、运营效率、客户成果、人工智能就绪程度和战略目标来优先处理工作。
- 定义将数据产品交付与业务成果联系起来的成功指标。
定义可信数据领域
- 定义企业数据领域、所有权模型、业务定义、指标、关键绩效指标（KPI）和数据协议。
- 维护企业数据字典和业务术语表。
- 在报告、仪表板、运营系统和人工智能驱动的工作流程中推动一致性。
- 倡导数据质量、血缘关系、治理、数据管理以及敏感数据的适当使用。
推动人工智能增强的产品开发
- 使用快速实验、人工智能辅助原型设计和迭代验证来塑造数据和人工智能产品机会。
- 将业务问题、信号和数据机会转化为清晰的产品规范，供数据工程、应用人工智能工程、业务系统和其他技术团队使用。
- 使用人工智能工具加速发现、综合、需求开发、原型生成、文档编写和决策支持。
- 协助建立从原型到规格的流程，将经过验证的想法转化为人工智能增强型工程团队可执行的工作。
在人工智能增强型交付模式中与工程团队合作
- 作为小型跨职能数据与人工智能产品团队的一员，早期且频繁地与产品、数据、人工智能、业务系统和工程学科进行协作。
- 与数据工程师和应用人工智能工程师合作进行方案设计、原型评审、规格细化、验证、测试、监控和采用计划。
- 确保技术解决方案符合业务需求
查看英文原文
Position Summary
Level Access is seeking a Data Product Manager to own enterprise data products that power reporting, analytics, operational intelligence, and AI-enabled workflows across the business.
Reporting to the Sr. Director of Business Systems, this role bridges business stakeholders and the Data & AI Engineering team to translate business problems into trusted data products, reusable context, analytics capabilities, and AI-ready solutions.
Success in this role is measured not by data delivered, but by business outcomes enabled.
Responsibilities
Own the Data Product Roadmap
- Partner with business leaders to identify high-value data, analytics, automation, and AI opportunities.
- Translate business objectives into a prioritized roadmap of reusable data products and capabilities.
- Prioritize work based on business impact, operational efficiency, customer outcomes, AI readiness, and strategic goals.
- Define success measures that connect data product delivery to business outcomes.
Define Trusted Data Domains
- Define enterprise data domains, ownership models, business definitions, metrics, KPIs, and data contracts.
- Maintain the enterprise data dictionary and business glossary.
- Drive consistency across reporting, dashboards, operational systems, and AI-enabled workflows.
- Advocate for data quality, lineage, governance, stewardship, and appropriate use of sensitive data.
Drive AI-Augmented Product Development
- Use rapid experimentation, AI-assisted prototyping, and iterative validation to shape data and AI product opportunities.
- Translate business problems, signals, and data opportunities into clear product specifications for Data Engineering, Applied AI Engineering, Business Systems, and other technical teams.
- Use AI tools to accelerate discovery, synthesis, requirements development, prototype generation, documentation, and decision support.
- Help establish a prototype-to-spec workflow that turns validated ideas into actionable work for AI-augmented engineering teams.
Partner with Engineering in an AI-Augmented Delivery Model
- Work as part of a small cross-functional Data & AI Product Team that collaborates early and often across product, data, AI, business systems, and engineering disciplines.
- Partner with Data Engineers and Applied AI Engineers on solution design, prototype review, specification refinement, validation, testing, instrumentation, and adoption planning.
- Ensure technical solutions align with business intent, data requirements, technical feasibility, governance expectations, and measurable outcomes.
- Support an AI-augmented SDLC where specifications, test cases, implementation guidance, and documentation may be accelerated with AI and validated by human expertise.
Qualifications
Required
- 5+ years of experience in Product Management, Data Product Management, Business Systems, Analytics, or a related discipline.
- Experience working with senior business stakeholders to define priorities, requirements, tradeoffs, and success measures.
- Experience supporting AI, machine learning, copilots, agentic workflows, or intelligent automation.
- Strong understanding of data platforms, reporting, BI, analytics, data governance, and enterprise data concepts.
- Experience translating business needs into product specifications, technical requirements, user stories, acceptance criteria, and measurable outcomes.
- Experience working in highly collaborative product and engineering environments that use rapid prototyping, iterative discovery, and early technical partnership.
- Strong communication, facilitation, and stakeholder management skills.
Preferred
- Familiarity with AI-assisted product workflows, rapid prototyping, prompt-based experimentation, or AI-generated specification and documentation approaches.
- Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent.
- Exposure to enterprise SaaS business models and operational metrics.
Key Success Measures
- Increased adoption of trusted enterprise data products.
- Faster delivery of reporting, analytics, business insights, and AI-enabled workflows.
- Improved data quality, trust, governance, and reuse across the organization.
- Demonstrable business impact from data and AI investments.
Application Process
If you thrive in a fast paced environment and you are eager to make a significant impact in the field of accessibility, we would love to hear from you! Interested in immediate consideration? Please submit your resume to be considered for this role.
The anticipated application window is 40 days from the date job is posted. However, factors such as candidate flow and business necessity may require us to shorten or extend the application window. This position is a current open vacancy. Candidates who are selected for an interview will be notified of the hiring decision within 45 days following their final interview.
Level Access is committed to workforce diversity and is an Equal Opportunity Employer. We are dedicated to providing reasonable accommodations throughout the hiring process.
Level Access uses artificial intelligence (AI) tools to support and enhance our recruitment and hiring processes. These tools may assist with activities such as résumé screening, skills assessments, interview scheduling, and communication These tools are designed to assist our recruiters and do not make final hiring decisions. All AI-assisted processes are subject to human review and candidate information is handled in accordance with our Privacy Policy and applicable regulations.
To learn more about how we collect and use personal data, please review our Privacy Statement () and our Trust Center ().
Compensation and Benefits
This is a full time position. The annual base salary hiring range for this position is $92,000 - $100,000 for employees located in the United States and CA$86,000 - CA$130,000 for employees located in Canada. The salary range reflects expected base pay for this role at the time of posting. The compensation package offered will be determined by factors such as demonstrated experience, skills, and internal equity. Expected base pay hiring ranges for candidates outside of the United States and Canada will be reviewed during the interview process, if selected. This position is eligible for incentive compensation in the form of a company bonus plan.
Level Access is committed to supporting our global team with comprehensive and inclusive benefits. For employees in the United States and Canada, our offerings include medical, dental, and vision insurance, life and disability coverage (STD/LTD), and a retirement match. We also prioritize well-being and growth through flexible paid time off, paid parental leave, a remote work stipend, and professional development reimbursement. For employees in other locations, benefits are tailored to local regulations and employment status to ensure competitive support worldwide.
Originally posted on Himalayas