企业 AI 数据策略师
Enterprise AI Data Strategist
企业AI数据策略师将领导Unanet AI转型所需的内部数据战略和架构。该职位将定义AI的共享数据基础，制定切实可行的路线图，并协调各团队的工作以实现该目标。这是一个既涉及战略又涉及执行的角色。该职位人员将做出架构决策，处理技术细节，测试方法，并帮助团队将战略转化为实际解决方案。大型实施将由专门的工程师、系统专家和其他技术资源在业务范围内完成。优先的AI项目将有助于确定工作的顺序并测试架构，但该职位负责的是支持Unanet整体AI战略的基础。该职位专注于AI所需的内部数据。它不负责产品或客户面向的数据架构、公司范围的报告和商业智能，或源系统的日常管理。这些职责仍由当前的部门负责
**你将负责**
- 制定清晰、实用的策略，为支持Unanet AI战略的内部数据基础提供保障。
- 评估当前的数据环境，并将最重要的差距转化为具有明确负责人、依赖关系和成果的优先路线图。
- 使用优先的AI项目测试架构，改进路线图，并开发其他团队可以复用的方法。
- 确定内部数据应如何组织、连接、保护，并提供给AI工具、代理和工作流。
- 制定数据访问、权限、集成、兼容性和重用的标准。
- 创建可重复的方式，为AI解决方案提供可靠上下文，并允许它们安全地与源系统交互。
- 根据业务需求、安全性、成本和维护的便利性，评估数据平台和集成选项。
- 与技术团队和系统负责人合作，将架构决策转化为实际解决方案，在有用时直接测试或验证方法。
- 确定可靠AI所需的数据质量、元数据、真实数据来源、所有权和管理要求。
- 与法律、安全、IT和业务负责人合作，将Unanet现有的治理、隐私和风险流程应用于AI数据。
- 帮助团队决定数据是否已准备好用于AI，以及在解决方案能够扩展之前需要解决的问题。
- 聚集业务负责人、AI开发者、技术专家、安全合作伙伴和系统专家，推动协作。
查看英文原文
The Enterprise AI Data Strategist will lead the internal data strategy and architecture needed for Unanet’s AI transformation. This role will define a shared data foundation for AI, set a practical roadmap, and coordinate work across teams to put it in place.This is both a strategy and execution role. The person will make architecture decisions, work through technical details, test approaches, and help teams turn the strategy into working solutions. Larger implementations will be completed by dedicated engineers, system experts, and other technical resources across the business.Priority AI initiatives will help set the order of the work and test the architecture, but the role is responsible for a foundation that supports Unanet’s AI strategy as a whole.The role focuses on the internal data needed for AI. It does not own product or customer-facing data architecture, company-wide reporting and business intelligence, or the day-to-day administration of source systems. Those responsibilities remain with their current
**What You’ll Do**
- Define a clear, practical strategy for the internal data foundation needed to support Unanet’s AI strategy.
- Assess the current data environment and turn the most important gaps into a prioritized roadmap with clear owners, dependencies, and outcomes.
- Use priority AI initiatives to test the architecture, improve the roadmap, and develop approaches that other teams can reuse.
- Define how internal data should be organized, connected, secured, and made available to AI tools, agents, and workflows.
- Set standards for data access, permissions, integration, compatibility, and reuse.
- Create repeatable ways to give AI solutions reliable context and allow them to interact safely with source systems.
- Evaluate data platforms and integration options based on business needs, security, cost, and ease of maintenance.
- Work with technical teams and system owners to turn architecture decisions into working solutions, testing or validating approaches directly when useful.
- Set the data quality, metadata, source-of-truth, ownership, and stewardship requirements needed for reliable AI.
- Work with Legal, Security, IT, and business owners to apply Unanet’s existing governance, privacy, and risk processes to AI data.
- Help teams decide whether data is ready for AI and what needs to be addressed before a solution can scale.
- Bring together business owners, AI builders, technical specialists, security partners, and system experts to move shared priorities forward.
- Support business-led experimentation and help successful work connect to the shared architecture.
- Advise and influence senior leaders and key partners across the business to build support for AI data priorities, tradeoffs, and investments.
- Explain technical choices in plain language, build agreement across functions, and lead work involving people and systems owned by other teams.
**Who You Are**
- Deep knowledge of how to design data and knowledge foundations for enterprise AI using structured and unstructured data.
- Strong understanding of how AI assistants, agents, and workflows use enterprise data, including retrieval, grounding, context, identity, metadata, and permissions.
- Practical knowledge of cloud data platforms, integration, data modeling, data quality, governance, lineage, freshness, and monitoring.
- Ability to design secure, reliable ways for AI systems to access and, when appropriate, update source systems.
- Ability to move between strategy, architecture, and technical details while staying focused on business needs.
- Sound judgment about what to standardize, what to simplify, and what to do first.
- Ability to influence senior leaders and key partners, build support across functions, and move decisions forward without direct authority.
- Clear written and verbal communication skills, including the ability to explain technical issues in plain language.
- A practical, collaborative approach to solving problems in a fast-moving environment.
**Your First 90 Days**
- Build a clear view of Unanet’s internal data environment and the needs created by its AI strategy.
- Define the first version of the target internal AI data architecture and a prioritized plan to build it, including owners, dependencies, and resource needs.
- Use priority AI initiatives, including work already underway, to test the architecture and establish approaches that can be reused.
- Establish clear working relationships and decision paths with IT, Cloud Operations, Engineering, Security, Finance, GTM Systems, and functional data owners.
**Our Values**
- We are a Team. Employees, customers, and partners working together.
- We are Customer-Focused. Customers are the heart of everything we do.
- We are Driven. Seeking exceptional outcomes.
- We Own our Success. Every employee has a stake in our company.
- We do the right thing and have fun in the process.
_The salary range for this opportunity is $170,000 - $200,000 per year. You will be eligible for employee equity as well as discretionary bonus compensation, subject to plans that may be in effect from time to time. You will further be eligible to participate in Unanet’s employee benefits plans and programs. For more details on Unanet’s benefits offerings, please visit https://unanet.com/employee-benefits._
_Unanet is proud to be an Equal Opportunity Employer. Applicants will be considered for positions without regard to race, religion, sex, national origin, age, disability, veteran status or any other consideration made unlawful by applicable federal, state or local laws._
**_Your Safety Matters: Avoiding Recruiting Scams_**
_Your job search should be a rewarding experience. Unfortunately, there are bad actors out there who aim to exploit today’s job seeker. It’s important to protect yourself against fraudulent recruiting practices. These bad actors go to great lengths to collect your personal information. They do so by posting fraudulent jobs, engaging in disingenuous interviews, and even extending fabricated offers._
_To protect yourself, please note the following about Unanet’s hiring experience:_
- _You will never be asked to complete an application through a non-Unanet website._
- _All open opportunities are posted on our official careers page: https://unanet.com/about/careers._
- _You will only receive communication from an email address ending in: @unanet.com._
- _You will never be asked to provide sensitive personal information before you’ve accepted an offer of employment, and you will never be asked to provide payment of any kind._