职位描述
Invenergy follows a hybrid schedule, working in office Monday through Thursday and remotely on Fridays if work permits.
Job Description
Position Overview
The Manager, Applied AI (Enterprise Analytics & AI) is responsible for leveraging enterprise AI tools and platforms to design, build, and deploy practical AI solutions that deliver measurable business impact across the organization. This role works hands-on with individuals and teams to understand their needs, build low-code AI agents and other custom solutions, and enable teams to integrate AI into their workflows effectively and responsibly.
This position serves as an organizational subject-matter expert on enterprise AI platforms, including their capabilities, limitations, and best practices. The role leads the co-development of AI agents and other AI solutions while fostering a culture of responsible AI use and self-sufficiency across the organization.
Invenergy follows a hybrid schedule, working in office Monday through Thursday and remotely on Fridays.
Responsibilities
- Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as multi-agent systems or advanced process automation, in partnership with business teams to address specific organizational needs and use cases.
- Lead engagement with business teams in one-on-one and small-group settings to understand workflows, identify AI opportunities, and co-develop effective, responsible solutions.
- Maintain deep familiarity with the full range of capabilities, limitations, and evolving features of the organization's enterprise AI platforms to ensure solutions are thoughtfully designed and maximize available functionality.
- Oversee the evaluation of third-party AI software applications, assessing organizational fit, capability, security, and responsible AI considerations, and providing recommendations to inform Business Operations decisions.
- Monitor and analyze organizational AI usage and adoption data; identify trends, gaps, and opportunities, and recommend targeted actions to improve utilization and impact.
- Partner with the Talent Development team to design, deliver, and continuously improve training content and guidelines that help employees use AI tools effectively and responsibly and support self-service adoption across the organization.
- Stay current on emerging AI capabilities and platform updates, proactively recommending features and solutions relevant to the organization's evolving needs.
- Collaborate with Enterprise Analytics & AI data scientists, data engineers, and analytics teams to align end-user AI solutions with broader AI initiatives.
- Manage one or more employees supporting AI adoption functions at the organization.
Required Qualifications
- Bachelor's degree in a technical or quantitative field such as computer science, information systems, engineering, data science, or a related discipline.
- 8+ years of experience within the industry or in a technology function, with significant achievements and upward growth.
- Demonstrated experience designing, building, or managing AI agents or similar AI-driven solutions.
- Strong familiarity with the Microsoft ecosystem, including Microsoft 365 and AI-enabled productivity tools.
- Prior experience leading, mentoring, or managing direct reports, or demonstrated readiness to step into a people leadership role.
- Ability to communicate complex technical concepts clearly to non-technical audiences, including presenting to senior leadership.
- Strong independent time-management and project-management skills, with the ability to manage multiple initiatives simultaneously.
- Proven ability to collaborate effectively across business, technical, and enablement teams.
- High level of curiosity, enthusiasm for emerging technologies, and a continuous-learning mindset.
Preferred Qualifications
- Experience managing employees in a technology function.
- Direct, hands-on experience with Microsoft Copilot Studio, including designing and deploying enterprise AI agents or low-code AI solutions.
- Experience supporting enterprise technology adoption, enablement, or change initiatives.
- Experience developing or delivering technical training or learning content for broad employee audiences.
- Familiarity with responsible AI practices, governance, security, or compliance considerations in an enterprise environment.
- Experience partnering with data science, analytics, or engineering teams to translate advanced AI capabilities into user-facing solutions.
- Exposure to Microsoft Power Platform, Azure AI services, Databricks, or related tools that complement enterprise AI solutions.
- Proficiency in coding languages such as Python or SQL.
Base Pay
134,000.00 - 155,000.00 USD Annual
Bonus: 25% - 40%
The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc.
Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.
薪资与福利
职位详情
关于 Invenergy
公司概况
他们的业务
Invenergy的核心技术专注于风能、太阳能、天然气、热电联产和能源存储,其服务通过2005年成立的Invenergy Services部门扩展到运营和维护(来源: infrapppworld.com)。该公司开发、拥有、运营并提供第三方管理电力生产和存储设施的服务,提供包括与电网集成的可再生能源在内的大规模解决方案(来源: infrapppworld.com)。目标市场包括北美和欧洲,服务于公用事业、商业客户和政府,通过大型项目向电网提供清洁电力;客户群体包括寻求长期电力购买协议的能源买家和需要资产管理的所有者(来源: infrapppworld.com)。在竞争中,Invenergy凭借其从开发到运营的全方位专业知识,成为北美顶级私人可再生能源开发商,得益于Polsky的工程背景,使其能够在早期挫折(如田纳西州风电场)后实现盈利扩展(来源: bcigem.com)。
项目与业绩
Invenergy拥有全球电力生产和存储设施的投资组合,显著的已完成项目包括早期的风能开发,这些项目已成为美国一些最成功的风能和太阳能站点(来源: bcigem.com)。正在进行的重大项目包括位于乌拉圭Salto的Cardal输电项目,其子公司Tealov S.R.L.从IDB Invest获得了6700万美元的建设融资,并与乌拉圭国家电力公司签署了运营租赁协议(来源: infrapppworld.com)。主要客户和合作伙伴包括IDB Invest(乌拉圭融资)、波多黎各公私合营伙伴关系管理局(入围财团参与)以及通过Invenergy Services的第三方资产所有者(来源: infrapppworld.com)。地理覆盖范围包括美国、加拿大、墨西哥、乌拉圭、苏格兰、波兰、以色列和日本的开发和运营,并通过区域办公室支持新市场的扩展(来源: bcigem.com)。
近期发展
在过去两年中,Invenergy Services在其管理的投资组合中超越了一个重要里程碑,尽管公告中未量化容量或价值,突显其在全球第三方电力资产管理中的增长(来源: invenergy.com)。子公司Tealov S.R.L.和Invenergy Transmission为6700万美元的乌拉圭Cardal输电项目完成了建设融资和运营租赁,与IDB Invest合作(来源: infrapppworld.com)。该公司参与了波多黎各PPP的三项项目入围,涉及13个财团,表明其积极投标(来源: infrapppworld.com)。在此期间没有报告重大收购、合并或融资轮,但像Cardal这样的持续项目融资表明扩展;2024-2025年没有具体的奖项或认证详细信息(来源: infrapppworld.com)。
在这里工作
Invenergy提供工程(软件开发、基础设施、电厂技术)、产品管理和设计、销售和市场(业务发展、客户成功)、运营(财务、人力资源、行政)以及高管领导等职位,主要在其位于芝加哥的总部,这里汇集了这些部门(来源: salestools.io)。招聘在芝加哥总部(1 S Wacker Dr)和区域办公室如丹佛、纽约、多伦多、墨西哥城、华沙和东京进行,以支持全球项目在开发、运营和维护方面的需求(来源: salestools.io)。公司文化强调创新、协作、持续学习和员工福祉,反映在芝加哥的设施中,设有开放式办公室、灵活的座位、安静区、会议室、高速技术基础设施、健身中心、健康室、自助餐厅、休息室和为动态团队合作设计的社交空间(来源: salestools.io)。提供全面的福利以支持职业发展并吸引人才,尽管健康保险或带薪休假等具体方案未公开列出;环境优先考虑为顶尖专业人士提供支持的中心,位于繁荣的芝加哥生态系统中(来源: salestools.io)。