Amazon Part Time Remote Role Jobs in Usa
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AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector
The opportunity
As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value‑aligned AI solutions. You’ll lead high‑impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.
As a Senior Manager in AI Strategy, you will leverage proprietary, industry‑aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.
Your key responsibilities
In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.
Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
Manage client relationships, focusing on revenue generation and the identification of new opportunities.
Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
Define and implement enterprise‑wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end‑to‑end AI platforms and solutions.
Partner with senior business and IT leaders to identify strategic opportunities and shape AI‑enabled business transformation.
Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.
Skills and attributes for success
To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.
Strong analytical and decision‑making skills to develop solutions to complex problems.
Proven experience in managing client relationships and leading teams.
Ability to communicate effectively and influence stakeholders at all levels.
To qualify for the role, you must have
Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
10+ years of experience in technology consulting, digital transformation, or AI‑driven business solutions.
5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
Typically, no less than 5 - 7 years of relevant experience.
Strong expertise in AI Platforms and Tools.
Proficiency in Data Architecture Design and Modelling.
Experience in Digital Transformation and IT Effectiveness Assessment.
Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
Ability to build and manage relationships effectively.
Strong exposure to oil & gas industry operations, value levers, and use case landscape.
Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
Proficiency in Python and tools like Pandas, PyTorch, Scikit‑learn, Spark, SQL.
Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Ideally, you’ll also have
Experience in managing change and leading teams.
Strong negotiation and influencing skills.
Familiarity with sector knowledge and commercial acumen.
Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
Exposure to agile delivery models and design thinking approaches.
What we look for
We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you!
What we offer you
At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across a highly complex global infrastructure. The AWS Networking team develops and operates the network platform for all of Amazon including e-commerce products and cloud computing solutions.
This platform is industry-leading for its efficiency, throughput and reliability, and it is critical to the success of hundreds of thousands of AWS customers.
Are you ready to own the end-to-end Infrastructure Delivery for the largest cloud network on the planet? The Infrastructure Delivery Network Deployment Team (IDND) is responsible for structured cabling, hardware deployment, and hardware commissioning related to network deployment during the initial phase of a data center. The Build Manager is responsible for a team of highly qualified network engineers. This leader will be responsible for end-to-end delivery of our Network Infrastructure, including Safety, Scheduling, Standards and Implementation for new builds across Northern Virginia. This leader is expected to significantly enhance our speed, quality, and safety in deploying new capacity to our network in Data Center sites across the region. You will ensure the right resources/structure is in place to proactively stay ahead of our capacity demands while applying thinking around capital efficiency. Our leaders are deeply technical, understanding their environment to accurately represent issues and implement a strategy that continues to set new records for cycle time, quality and staff efficiency.
In this role, you will own the resources responsible for configuring and deploying all network infrastructure in new AWS data centers. This leader will drive the strategy to innovate and optimize our new deployments while instilling the highest level of operational excellence in tools and processes. The mission of the team is to deliver network capacity on time with zero rework.
This leader will be integral to the wider infrastructure management senior leadership team, collaborating with our engineering and operations teams on new solutions and designs. They will own all aspects of people management.
Our engineers, managers, and leaders are innovators at heart; come join us and become integral to the technology company that is the past, present and future of Cloud Computing.
Key job responsibilities
• Willingness to travel up to 30% including some local and international assignments throughout AMER Region.
Key job responsibilities
- Willingness to travel up to 30% including some local and international assignments throughout AMER Region.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Associate's degree- Associate's degree or above
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , TX, Garland - 107,7 ,500.00 USD annually
Key job responsibilities
You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams and partners like ISVs and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads across Edge devices and AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership.
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in GenAI and key ML use cases, as well as the system/solution development on Edge devices. You have the technical depth to articulate the benefits of our GenAI-related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, partners development, and professional services) and externally with customers and AWS partners.
You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and work with GenAI model providers, Edge device vendors, and our solutions architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams and product teams to drive model implementations and develop new solutions.
You will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping companies/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.
About the team
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, San Francisco - 162,7 ,200.00 USD annually
USA, CA, Santa Clara - 162,7 ,200.00 USD annually
USA, NY, New York - 162,7 ,200.00 USD annually
USA, TX, Austin - 147,9 ,100.00 USD annually
USA, VA, Arlington - 147,9 ,100.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
