admin assistant - proposals

artificial intelligence engineer i Jobs in Houston

artificial intelligence engineer i

assistant plant manager

assistant project manager Jobs in Houston

assistant project manager

project manager ai automation delivery

The New IEM, LLC

<div><div><div>At IEM, we&rsquo;re not just building innovative electrical distribution systems, we&rsquo;re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what&rsquo;s possible. Whether you&rsquo;re an experienced professional or just starting out, you&rsquo;ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world&rsquo;s most dynamic markets.
</div></div><div>
Location: Remote/Hybrid to Austin, TX

Reports To: Director, AI &amp; Automation Delivery

Department: AI &amp; Automation Delivery

Employment Type: Full-Time | Exempt

Salary Range: $130K &ndash; $160K 


Industrial Electric Mfg. (IEM) is the largest independent full-line manufacturer of custom power distribution systems in North America. Founded more than 75 years ago in Fremont, California, IEM grew alongside Silicon Valley and today operates over 1.7 million square feet of manufacturing capacity. With $1B+ in annual sales and 10,000+ commissioned projects across technology, data centers, commercial, energy, utilities, healthcare, industrial, and infrastructure markets, IEM continues to deliver exceptional product quality, dependable service, and the flexibility to meet complex technical requirements at scale. Trusted by industry leaders, IEM combines engineering expertise with manufacturing strength to power the most ambitious projects and drive the future of innovation. 


Position Summary

The Project Manager, AI &amp; Automation Delivery is responsible for leading end-to-end delivery of technology initiatives spanning Salesforce CRM, artificial intelligence, and enterprise automation programs. Reporting to the Director of AI &amp; Automation Delivery, this role partners closely with business stakeholders, IT, and third-party vendors to plan, execute, and close projects on time and within scope. The ideal candidate brings strong Agile and project management experience, a track record of delivering Salesforce and automation solutions, and the communication skills to align diverse teams in a fast-paced, high-growth manufacturing environment. 


Ideal Candidate Profile

We are looking for a self-directed project manager who thrives at the intersection of business and technology. You are comfortable owning multiple workstreams simultaneously, can cut through ambiguity to keep projects moving, and build trust quickly with stakeholders at every level. You bring a practical understanding of Salesforce platforms and modern automation tools, and you approach continuous improvement not as a buzzword but as a daily habit. 


Key Responsibilities
<ul>
<li>Lead end-to-end project management for Salesforce, AI, and automation initiatives from initiation through go-live and hypercare support.</li>
<li>Define and maintain project scope, schedules, resource plans, risk registers, and status reports for stakeholders and leadership.</li>
<li>Facilitate Agile ceremonies including sprint planning, daily standups, sprint reviews, and retrospectives across one or more concurrent delivery teams.</li>
<li>Manage and prioritize project backlogs in JIRA, ensuring user stories are well-defined, estimated, and aligned to business value.</li>
<li>Serve as the primary liaison between business stakeholders, technical teams, and third-party vendors throughout the project lifecycle.</li>
<li>Coordinate system integrations, data migrations, and user acceptance testing (UAT) activities across project workstreams.</li>
<li>Prepare and deliver project status updates, steering committee presentations, and executive-level dashboards.</li>
<li>Proactively identify, escalate, and resolve risks, issues, and dependencies to maintain project momentum.</li>
<li>Manage Salesforce CRM implementation and enhancement projects including Sales Cloud, Service Cloud, and platform integrations.</li>
<li>Support AI and intelligent automation (RPA, workflow automation) projects from business case through production deployment.</li>
<li>Partner with business analysts and solution architects to translate business requirements into actionable project deliverables.</li>
<li>Maintain project documentation including charters, RACI matrices, decision logs, meeting minutes, and lessons learned.</li>
<li>Contribute to the development and adoption of project management standards, templates, and best practices within the department.</li></ul> 


Qualifications
<ul>
<li>3&ndash;7 years of project management experience with a demonstrated track record of delivering technology or digital transformation projects.</li>
<li>Working knowledge of Agile and Scrum methodologies; hands-on experience facilitating sprints and managing backlogs.</li>
<li>Experience in manufacturing, industrial, or similarly complex operational environments.</li>
<li>Proficiency with JIRA, Microsoft Teams, and the Microsoft 365 suite for project tracking and collaboration.</li>
<li>Strong communication and interpersonal skills with the ability to influence without authority and align diverse stakeholders.</li>
<li>Excellent organizational and analytical skills; capable of managing multiple projects and priorities simultaneously.</li>
<li>Bachelor&rsquo;s degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience.</li>
<li>PMP, PMI-ACP, or CSM (Certified Scrum Master) certification is a plus.</li>
<li>Familiarity with AI, machine learning, or intelligent automation (RPA, low-code/no-code) is a plus.</li>
<li>Familiarity with Sales Cloud, Service Cloud, or related platform implementations.</li></ul> 


Workplace Conditions
<ul>
<li>Hybrid or fully remote work environment with occasional on-site presence as needed.</li>
<li>Standard office environment when working on-site; may include visits to manufacturing facilities.</li>
<li>Ability to work across multiple time zones and manage global or distributed project teams.</li></ul> 


Physical Demands
<ul>
<li>Prolonged periods of sitting and working at a computer.</li>
<li>Ability to communicate effectively through virtual collaboration tools (video, phone, messaging).</li></ul> 


Location

This position is hybrid or fully remote (USA-based), but may require up to 20% travel to IEM facilities, vendor sites, or project kick-off meetings.
</div><div>
Why Join IEM

At IEM, you&rsquo;ll join a team that powers some of the world&rsquo;s most ambitious projects. We&rsquo;re engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you&rsquo;re driven, collaborative, and ready to make an impact, we&rsquo;d love to hear from you. Your creativity and passion can help us achieve great things&mdash;come be part of the journey.

Learn more about IEM at https://www.iemfg.com

We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers

Recruiting Scams

Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact

Non-Discrimination Statement

IEM does not discriminate against any applicant based on any characteristic protected by law.

Privacy

Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member Privacy Policy.</div></div>

Project Manager, AI & Automation Delivery

Industrial Electric Manufacturing

<div><div><div>At IEM, we're not just building innovative electrical distribution systems, we're shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what's possible. Whether you're an experienced professional or just starting out, you'll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world's most dynamic markets.
</div></div>
Location: Remote/Hybrid to Austin, TX

Reports To: Director, AI &amp; Automation Delivery

Department: AI &amp; Automation Delivery

Employment Type: Full-Time | Exempt

Salary Range: $130K &ndash; $160K 


Industrial Electric Mfg. (IEM) is the largest independent full-line manufacturer of custom power distribution systems in North America. Founded more than 75 years ago in Fremont, California, IEM grew alongside Silicon Valley and today operates over 1.7 million square feet of manufacturing capacity. With $1B+ in annual sales and 10,000+ commissioned projects across technology, data centers, commercial, energy, utilities, healthcare, industrial, and infrastructure markets, IEM continues to deliver exceptional product quality, dependable service, and the flexibility to meet complex technical requirements at scale. Trusted by industry leaders, IEM combines engineering expertise with manufacturing strength to power the most ambitious projects and drive the future of innovation. 


Position Summary

The Project Manager, AI &amp; Automation Delivery is responsible for leading end-to-end delivery of technology initiatives spanning Salesforce CRM, artificial intelligence, and enterprise automation programs. Reporting to the Director of AI &amp; Automation Delivery, this role partners closely with business stakeholders, IT, and third-party vendors to plan, execute, and close projects on time and within scope. The ideal candidate brings strong Agile and project management experience, a track record of delivering Salesforce and automation solutions, and the communication skills to align diverse teams in a fast-paced, high-growth manufacturing environment. 


Ideal Candidate Profile

We are looking for a self-directed project manager who thrives at the intersection of business and technology. You are comfortable owning multiple workstreams simultaneously, can cut through ambiguity to keep projects moving, and build trust quickly with stakeholders at every level. You bring a practical understanding of Salesforce platforms and modern automation tools, and you approach continuous improvement not as a buzzword but as a daily habit. 


Key Responsibilities
<ul>
<li>Lead end-to-end project management for Salesforce, AI, and automation initiatives from initiation through go-live and hypercare support.</li>
<li>Define and maintain project scope, schedules, resource plans, risk registers, and status reports for stakeholders and leadership.</li>
<li>Facilitate Agile ceremonies including sprint planning, daily standups, sprint reviews, and retrospectives across one or more concurrent delivery teams.</li>
<li>Manage and prioritize project backlogs in JIRA, ensuring user stories are well-defined, estimated, and aligned to business value.</li>
<li>Serve as the primary liaison between business stakeholders, technical teams, and third-party vendors throughout the project lifecycle.</li>
<li>Coordinate system integrations, data migrations, and user acceptance testing (UAT) activities across project workstreams.</li>
<li>Prepare and deliver project status updates, steering committee presentations, and executive-level dashboards.</li>
<li>Proactively identify, escalate, and resolve risks, issues, and dependencies to maintain project momentum.</li>
<li>Manage Salesforce CRM implementation and enhancement projects including Sales Cloud, Service Cloud, and platform integrations.</li>
<li>Support AI and intelligent automation (RPA, workflow automation) projects from business case through production deployment.</li>
<li>Partner with business analysts and solution architects to translate business requirements into actionable project deliverables.</li>
<li>Maintain project documentation including charters, RACI matrices, decision logs, meeting minutes, and lessons learned.</li>
<li>Contribute to the development and adoption of project management standards, templates, and best practices within the department.</li></ul> 


Qualifications
<ul>
<li>3&ndash;7 years of project management experience with a demonstrated track record of delivering technology or digital transformation projects.</li>
<li>Working knowledge of Agile and Scrum methodologies; hands-on experience facilitating sprints and managing backlogs.</li>
<li>Experience in manufacturing, industrial, or similarly complex operational environments.</li>
<li>Proficiency with JIRA, Microsoft Teams, and the Microsoft 365 suite for project tracking and collaboration.</li>
<li>Strong communication and interpersonal skills with the ability to influence without authority and align diverse stakeholders.</li>
<li>Excellent organizational and analytical skills; capable of managing multiple projects and priorities simultaneously.</li>
<li>Bachelor's degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience.</li>
<li>PMP, PMI-ACP, or CSM (Certified Scrum Master) certification is a plus.</li>
<li>Familiarity with AI, machine learning, or intelligent automation (RPA, low-code/no-code) is a plus.</li>
<li>Familiarity with Sales Cloud, Service Cloud, or related platform implementations.</li></ul> 


Workplace Conditions
<ul>
<li>Hybrid or fully remote work environment with occasional on-site presence as needed.</li>
<li>Standard office environment when working on-site; may include visits to manufacturing facilities.</li>
<li>Ability to work across multiple time zones and manage global or distributed project teams.</li></ul> 


Physical Demands
<ul>
<li>Prolonged periods of sitting and working at a computer.</li>
<li>Ability to communicate effectively through virtual collaboration tools (video, phone, messaging).</li></ul> 


Location

This position is hybrid or fully remote (USA-based), but may require up to 20% travel to IEM facilities, vendor sites, or project kick-off meetings.
<div>
Why Join IEM

At IEM, you'll join a team that powers some of the world's most ambitious projects. We're engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you're driven, collaborative, and ready to make an impact, we'd love to hear from you. Your creativity and passion can help us achieve great things&mdash;come be part of the journey.

Learn more about IEM at https://www.iemfg.com

We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers

Recruiting Scams

Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact

Non-Discrimination Statement

IEM does not discriminate against any applicant based on any characteristic protected by law.

Privacy

Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member Privacy Policy.</div></div>

Nabors Industries

<div>In this role, the ePMO Project Manager supports external, customer facing digital products by enabling execution and delivery excellence on behalf of business Product Owners. This position sits at the intersection of Product Owners, technical delivery teams, and enterprise leadership, with a strong focus on coordination, governance, and delivery outcomes rather than product strategy ownership. 
The role partners closely with Product Owners and cross‑functional team, including platform, cloud, and application teams, to manage roadmaps, prioritize work, and coordinate delivery activities in a hybrid Agile and enterprise PMO environment. While Agile practices are leveraged to manage day‑to‑day execution, the role also emphasizes dependency management, prioritization, stakeholder alignment, and enterprise‑level reporting. 
Operating within the ePMO, the Project Manager provides oversight for customer‑facing products such as RigCLOUD, helping ensure teams are aligned to business objectives, delivery risks and dependencies are actively managed, and governance standards are consistently applied. Success in this role requires strong delivery leadership, technical fluency to partner effectively with engineering teams, and the ability to navigate both Agile delivery and enterprise PMO expectations.</div>
 <div><ul><li>5+ years of experience in project, program, or delivery management for product‑based or customer‑facing applications
</li><li>Experience working in Agile environments (Scrum, Kanban, or hybrid)
</li><li>Proficiency with Azure DevOps for backlog, sprint, and delivery tracking, or similar applications
</li><li>Strong collaboration skills partnering with Product Owners and cross‑functional teams
</li><li>Experience managing dependencies, risks, and multiple workstreams
</li><li>Familiarity with ePMO governance, delivery processes, and reporting
</li><li>Strong communication, organization, and stakeholder management skills
</li></ul>PREFERRED QUALIFICATIONS
<ul><li>PMP, PMI‑ACP, Certified Scrum Master (CSM), or similar certification preferred but not required
</li><li>Negotiating skills across project teams and vendors; coaches others
</li><li>Experience supporting externally facing or SaaS‑based digital products
</li><li>Strong understanding of Agile delivery metrics and forecasting
</li><li>Experience contributing to PMO/ePMO process or governance improvements
</li><li>Familiarity with release coordination and go‑to‑market support
</li>Experience working in industrial, regulated, or operational environments preferred 
<li>
</li></ul>PHYSICAL REQUIREMENTS / WORKING CONDITIONS
<ul><li>Office environment; may coordinate with resources in other time zones
</li><li>May be required to visit a Rig environment to understand the nature of the business
</li><li>May require visits to Manufacturing locations and Maintenance facilities
</li><li>While performing the duties of this job, the employee is frequently required to sit. The employee is occasionally required to stand, walk, and use hands. The employee may occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision and distance vision.</li></ul></div>
 <div><ul><li><div>Partner with business Product Owners to support delivery of external, customer‑facing digital products, including industry‑leading solutions such as RigCLOUD
</div></li><li><div>Provide program and delivery oversight for multiple product initiatives, ensuring alignment to business priorities and strategic objectives
</div></li><li><div>Manage and maintain product roadmaps, backlogs, and delivery plans in collaboration with Product Owners and delivery teams
</div></li><li><div>Apply Agile practices (e.g., Scrum, Kanban) to plan, track, and deliver work using Azure DevOps
</div></li><li><div>Facilitate key Agile ceremonies including sprint planning, reviews, retrospectives, and backlog refinement as needed
</div></li><li><div>Coordinate cross‑functional teams to manage dependencies, risks, and delivery milestones
</div></li><li><div>Track progress, delivery metrics, and financials; provide clear status reporting to stakeholders and leadership
</div></li><li><div>Ensure adherence to ePMO governance standards, delivery processes, and reporting requirements
</div></li><li><div>Support continuous improvement of ePMO processes, tools, and Agile delivery practices
</div></li><li>Serve as a primary point of communication between Product Owners, technology teams, and enterprise stakeholders to ensure transparency and alignment
</li></ul>#LI-JA1</div>
 <div>Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world. 
<div></div> 
<div>Equal Opportunity Employer 
</div><div></div> 
<div>Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.&amp;nbsp; This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.&amp;nbsp; To learn more about our Fair Employment practices, please refer to the Nabors Code of Conduct .</div></div>

ePMO Project Manager

Capgemini

<div><div><div><div><div>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</div>
<div><div><div><h2 class="jobSectionHeader">About the Job You&rsquo;re Considering</h2>
</div><div>At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen&mdash;grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor (&ldquo;forward deployed&rdquo;) mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div>This role focuses on customer‑facing AI initiatives, primarily tied to contact center interactions, self‑service, and AI‑enabled customer experience. The individual acts as a product and program manager, overseeing end‑to‑end AI delivery &mdash; from definition through UAT and value realization &mdash; in close collaboration with business and technical teams.
You will:
<ul><li>Manage AI products and programs related to customer interactions, contact center AI, and self‑service solutions</li>
<li>Oversee internal product development lifecycle from definition through UAT and deployment</li>
<li>Coordinate cross‑functional teams delivering AI solutions that impact customer operations</li>
<li>Ensure AI initiatives deliver measurable business value and improve customer experience</li>
<li>Act as the primary delivery interface between technical teams and business stakeholders</li>
<li>Manage ambiguity and evolving AI use cases within operational environments</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Your Skills + Experience</h2>
</div><div>You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Required Skills:
<ul><li>Experience as an AI product manager or program manager within operational or customer‑facing domains</li>
<li>Familiarity with contact center operations, customer interaction platforms, or self‑service technologies</li>
<li>Strong program management skills across delivery, testing, and value tracking</li>
<li>Clear communicator able to manage uncertainty and stakeholder expectations</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: $121,400 - $237,360.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Capgemini Invent - Customer AI Product Manager - Contact Center AI

AMOT Controls

<div>Position Type: Co-op / Internship (Graduate-level, semester or summer term)

Location: [On-site &ndash; Houston]

Duration &amp; Schedule: 10&ndash;12 week summer internship OR 4&ndash;8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).

Key Responsibilities:
<ul>
<li>Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.</li>
<li>Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.</li>
<li>Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.</li>
<li>Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.</li>
<li>Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.</li>
<li>Support adoption through training, documentation, and change-management support.</li>
<li>Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.</li>
</ul>
Required Qualifications and Experience:
<ul>
<li>Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.</li>
<li>Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.</li>
<li>Working knowledge of SQL &mdash; able to write joins, aggregations, and window functions against a relational database.</li>
<li>Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).</li>
<li>Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.</li>
<li>Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.</li>
</ul>
Preferred Qualifications and Experience:
<ul>
<li>Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.</li>
<li>Exposure to the Microsoft Azure AI stack &mdash; Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.</li>
<li>Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.</li>
<li>Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.</li>
<li>Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.</li>
<li>Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.</li>
</ul>
What You Will Gain:
<ul>
<li>Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.</li>
<li>Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.</li>
<li>A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.</li>
</ul>
Other:
<ul>
<li>Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.</li>
<li>Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.</li>
</ul>
Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability</div>

AI & Data Analytics Co-op/Intern

Chevron

<div><div>Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower-carbon economy.
Technology will play a crucial role in achieving this goal, and Chevron is seeking interns with a desire to thrive in a cutting-edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in-house expertise, proprietary solutions, and strategic partnerships.
You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!
Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:<ul><li>
Transforms data into insights for making better decisions across the enterprise.</li><li>
Develops, executes, and manages information and data architectures, governance, practices, and procedures.</li><li>
Manages the full information and data lifecycle needs of the enterprise.</li></ul>
Positions available<ul><li>
Data Scientist</li><li>
Data Engineer</li><li>
Machine Learning Engineer</li><li>
Business Intelligence Analyst</li><li>
Data Analyst</li></ul>
Locations<ul><li>
Houston, TX</li></ul>
Data Scientist
We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.
Key responsibilities<ul><li>
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation</li><li>
Identify data necessary and appropriate technology to solve business challenges</li><li>
Clean data, develop models, and test models</li><li>
Establish the life cycle management process for models</li><li>
Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills</li></ul>
Data Engineer
We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders&rsquo; requirements to support work processes and strategic business objectives.
Key responsibilities<ul><li>
Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns</li><li>
Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities</li><li>
Ensure the scalability and reliability of model deployment, and document the technical aspects of the process</li><li>
Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows</li></ul>
Machine Learning Engineer
We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real-world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.
Key responsibilities<ul><li>
Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation</li><li>
Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures</li><li>
Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
</li><li>Build machine and deep learning systems optimized for scalability and performance</li><li>
Transform data science prototypes into scalable solutions in a production environment</li><li>
Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product</li><li>
Run machine learning experiments and fine-tune algorithms to ensure optimal performance</li></ul>
Business Intelligence Analyst
We are looking for motivated individuals to provide data science and analytics expertise and solution delivery across Chevron to join our team! You will understand data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data. Successful candidates will be accountable for leading initiatives by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.
Key responsibilities<ul><li>
Access, gather, and analyze data from source systems</li><li>
Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)</li><li>
Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)</li><li>
Participate in the end-to-end product development lifecycle as a member of agile team</li><li>
Contribute to data analysis, data wrangling, data visualization, and acceptance testing</li><li>
Present findings and new development to help refine backlog items</li></ul>
Data Analyst
We are looking for motivated individuals to provide expertise on how business workflows map to data, and how data can be integrated to build reusable data products. Successful candidates will be able to analyze the current state of data management: process, practices, tools &ndash; helping to shape future needs and serve as a subject matter expert for delivery teams.
Key responsibilities<ul><li>
Understand the business use of data and stakeholder requirements to support strategic business objectives</li><li>
Collaborate with delivery teams to provide data management direction and support for initiatives and product development</li><li>
Contribute to the design of common information models</li><li>
Consult on the appropriate data integration patterns, data modeling and data quality</li><li>
Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process</li></ul>
Requirements
Preferred education / degrees<ul><li>
Currently enrolled in bachelor&rsquo;s or master&rsquo;s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree</li><li>
Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.</li></ul>
Experience<ul><li>
Data acquisition, analysis, modeling, movement, transformation, and preparation experience</li><li>
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)</li></ul><ul><li>
Data Analyst: Experience with data modeling, data management, data quality, SQL</li><li>
Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS &amp; SQL</li><li>
Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.</li></ul>
Preferred skills / competencies<ul><li>
Ability to communicate in a clear and concise manner both orally and in writing.</li></ul><ul><li>
Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support</li><li>
Experience designing custom APIs for machine learning models for training and inference processes</li><li>
Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.</li></ul>
Additional information<ul><li>
Relocation may be considered within Chevron parameters</li><li>
Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position</li></ul></div><div></div><div><div><div><div> 
Regulatory Disclosure for US Positions:<ul><li>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.
</li><li>The anticipated hourly range for this position is $23.65 - $37.50. The selected candidate&rsquo;s monthly or hourly compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.
</li><li>Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/.</li></ul></div></div></div></div> 
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.
Chevron participates in E-Verify in certain locations as required by law.</div>

2026-2027 Information Technology – Information and Analytics – Intern

Karbon

<div>
 
 About Karbon
 
 
 
 Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work&reg; certification and on Fortune magazine's Best Small Workplaces&trade; List.
 
 
 Our People team is a high-performing group, deeply committed to our Karbonites and values. We are looking for an operations leader who is AI-native to their core, builds systems that scale, and treats agentic workflows as the foundation of how modern People Operations functions. Reporting to the VP of People, this role owns the operational backbone of how we hire, onboard, and support Karbonites across six countries, with a clear runway toward growing a pillar of the People function.
 
 
 We are looking for someone unique. You're the right operations leader for us if your default instinct when you see a manual process is to ask "what agent should own this?" before "who should own this?". You don't just use AI tools &mdash; you architect the workflows, build the agents, and design the systems that let a lean People team operate at the scale of a much larger one. You're equally fluent in the mechanics of multi-country HR compliance and the mechanics of prompt engineering, integrations, and agentic orchestration.
 
 
 This is not a coordinator role and it is not a ticket-closing role. You'll spend your time designing how work gets done, not doing the work itself wherever an agent can do it instead. You'll own the operational engine across People Ops, with a meaningful TA overlay (forecasting, reporting, data integrity) and benefits ownership embedded in the role. You'll be measured on how much of that engine runs without human intervention.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Architect and continuously improve the end-to-end People Ops and TA operational stack, embedding AI agents and agentic workflows as the default execution layer across onboarding, offboarding, employee lifecycle changes, and the recruiting funnel.
 </li>
 <li>
 Design and deploy AI agents to own routine operational work end-to-end, including onboarding task orchestration, compliance documentation, offer letter generation, interview scheduling, and tier-1 employee queries.
 </li>
 <li>
 Use AI to manage and monitor multi-country HR compliance across our six operating regions, building agentic checks that flag risk, surface regulatory changes, and keep our entity-level obligations current without manual tracking.
 </li>
 <li>
 Build AI-powered reporting and analytics across the People and TA function, producing real-time dashboards, hiring funnel insights, and operational health metrics that the VP of People and pillar leads can act on without requesting them.
 </li>
 <li>
 Run our HRIS, ATS, and broader People tech stack as an integrated, AI-augmented system, evaluating new tools through the lens of agent-readiness and API-first design rather than feature lists.
 </li>
 <li>
 Use AI to support the TA function with a focus on pipeline forecasting, recruiting data integrity, and funnel reporting, partnering with hiring managers to embed AI into how they track and interpret hiring data.
 </li>
 <li>
 Own benefits administration and vendor management across our US entity, using AI to streamline open enrollment, automate eligibility tracking, and surface utilization insights that inform future benefits strategy.
 </li>
 <li>
 Leverage AI to deliver a seamless, high-quality employee experience at scale, anticipating friction points across the lifecycle and deploying agents or workflows to resolve them before they become tickets.
 </li>
 <li>
 Drive AI-led process documentation and knowledge management across People Ops, ensuring every workflow is documented in a way that is both human-readable and agent-executable.
 </li>
 <li>
 Partner with Finance, IT, and Legal using AI-augmented workflows for cross-functional operations, including headcount planning, system access provisioning, and contract and policy management.
 </li>
 <li>
 Coach and uplift the broader People team on AI fluency, agent design, and operational automation, modeling what an AI-forward People Ops function looks like in practice.
 </li>
 <li>
 Own AI governance for the People function, ensuring our use of agents and AI tools is compliant, ethical, and aligned with how we handle sensitive employee and candidate data globally.
 
 
 </li>
 </ul>
 
 About You!
 
 
 
 <ul>
 <li>
 5+ years of progressive experience across People Operations or HR Ops, with at least some leadership or team lead experience.
 </li>
 <li>
 Prior SaaS or high-growth tech experience is essential. You understand how a global, multi-entity People function operates and what breaks at scale.
 </li>
 <li>
 Deep, hands-on fluency with AI tools, agent builders, and agentic workflows. You've personally built, deployed, and maintained agents that own real operational work, not just experimented with them.
 </li>
 <li>
 Strong technical instincts: comfortable with APIs, integrations, automation platforms (Zapier, Make, n8n, or similar), and prompt engineering as core craft, not adjacent skills.
 </li>
 <li>
 Multi-country HR Ops experience strongly preferred but not essential, ideally across some combination of the US, UK, Australia/NZ, Canada, and the Philippines.
 </li>
 <li>
 Proven ability to redesign operational processes from the ground up rather than incrementally improve them, with a clear bias toward automation over headcount.
 </li>
 <li>
 Working knowledge of US benefits administration, including open enrollment, carrier management, and compliance (ACA, ERISA basics).
 </li>
 <li>
 Working knowledge of HR compliance across multiple jurisdictions, with the judgment to know when AI can own a compliance task and when a human must.
 </li>
 <li>
 Data fluency: you build operational dashboards, you read funnel metrics natively, and you use AI to go deeper and faster than the tools alone allow.
 </li>
 <li>
 A systems thinker who can hold the full operational picture across People Ops, TA, and Benefits simultaneously, and design how they interlock.
 </li>
 <li>
 Player-coach mindset: senior enough to operate independently, willing to build and ship the work yourself, with the trajectory and appetite to grow a pillar as we scale.
 </li>
 <li>
 Unquestioned integrity, high EQ, and discretion with sensitive employee and candidate data.
 </li>
 <li>
 Genuine excitement about where AI is taking the People function, and a strong point of view on what an AI-native HR operation should look like.
 
 
 </li>
 </ul>
 
 Why work at Karbon?
 
 
 
 <ul>
 <li>
 You'll own the operational engine of a global People function with leadership of direct reports from day one.
 </li>
 <li>
 You'll be part of a People team actively building the AI-forward model for how HR operates. You won't be told to use AI; you'll define how we use it.
 </li>
 <li>
 Gain global experience across Australia, New Zealand, UK, and Canada
 </li>
 <li>
 Strong benefits package including:
 </li>
 <ul>
 <li>
 Flexible Time Off with an encouraged 4 weeks use per year
 </li>
 <li>
 Company paid medical for you and eligible spouse/partner and dependents
 </li>
 <li>
 Paid dental and vision and eligible spouse/partner and dependents
 </li>
 <li>
 401(k) with company matching
 </li>
 <li>
 Flexible Spending Account
 </li>
 <li>
 Up to 8 weeks paid parental leave
 </li>
 <li>
 Work-from-home stipend
 </li>
 </ul>
 <li>
 Work with (and learn from) an experienced, high-performing team
 </li>
 <li>
 A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
 </li>
 <li>
 Be part of a fast-growing company that firmly believes in promoting high performers from within
 
 </li>
 </ul>
 As we hire across various locations within the USA we are required by law to include a reasonable estimate of the compensation range for this role.The range provided is broad and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as physical location/cost of living in that location, years of experience, skills, and other business needs.It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. The base salary is one component of the total compensation package, which for some roles may include a target bonus, for some roles very competitive equity grant, and very generous benefits. While we believe competitive compensation is a critical aspect of you deciding to join us, we do hope you also spend time considering why our mission, purpose and values are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are!
 
 
 The estimated base salary range for this role is: : $120,000 USD - $130,000 USD
 
 
 Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role!
 
 
 We recruit and reward people based on capability and performance. We don&rsquo;t discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization.
 
 
 Generally, if you are a good person, we want to talk to you. 😛
 
 
 If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at people.support@karbonhq.com for a confidential discussion.
 
 
 
 
 At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!
 
 
</div>

People Operations Manager

Explore 253+ Project manager ai automation delivery in Houston this May. Find roles across top companies and apply now to boost your career.

253 project manager ai automation delivery jobs In Houston

Project Manager, AI & Automation Delivery

Project Manager, AI & Automation Delivery

ePMO Project Manager

Capgemini Invent - Customer AI Product Manager - Contact Center AI

AI & Data Analytics Co-op/Intern

2026-2027 Information Technology – Information and Analytics – Intern

People Operations Manager