Senior Technical Project Manager
Location
United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand
Posted
4 days ago
Salary
Not specified
Job Description
Role Description
As a Senior Technical Project Manager specializing in AI, you will play a pivotal role in driving the successful delivery of cutting-edge artificial intelligence and data-driven initiatives that transform business operations and unlock new value. This position demands a seasoned leader who can seamlessly bridge complex technical domains and strategic business goals, ensuring AI solutions are delivered on time, within scope, and at the highest quality standards. Your expertise will directly impact the company’s innovation trajectory and operational excellence.
In this role, you will lead the end-to-end lifecycle of multiple concurrent AI projects, from initial planning and development through testing, deployment, and ongoing support. You will coordinate cross-functional teams comprising:
- AI/ML engineers
- Data engineers
- Backend and React frontend developers
- QA specialists
- Cybersecurity experts
- UI/UX designers
Translating business requirements into detailed technical specifications and actionable project plans will be a core responsibility, alongside rigorous risk management, progress monitoring, and governance reporting. You will collaborate closely with stakeholders to ensure AI initiatives align with broader business objectives and operational priorities, while championing best practices in software development, security compliance, and quality assurance.
Your day-to-day activities will involve:
- Orchestrating agile workflows
- Facilitating sprint planning and retrospectives
- Resolving technical and resource challenges
- Maintaining clear communication across distributed teams
You will foster a collaborative environment that encourages innovation and continuous improvement, while ensuring timely delivery of scalable, secure, and user-centric AI solutions. This role offers significant growth opportunities to influence enterprise-wide AI strategy and expand your leadership impact within a dynamic, forward-thinking technology organization.
You will join a highly skilled, multidisciplinary team operating in a fast-paced, cloud-enabled environment leveraging platforms such as Azure, AWS, or GCP. Reporting to senior leadership, you will be a key driver of transformative AI projects that shape the future of the company’s technology landscape. If you are passionate about harnessing AI to solve complex challenges and thrive in a collaborative, innovation-driven culture, this is the opportunity to elevate your career to the next level.
Qualifications
- 8–12 years of experience in software development or technical project management, with a proven track record managing AI/ML or data-driven projects.
- Deep understanding of Generative AI (LLMs), machine learning frameworks, and AI solution architectures.
- Knowledge of data engineering pipelines, modern data platforms, and cloud environments (Azure, AWS, GCP preferred).
- Familiarity with React-based frontend architecture, APIs, UI/UX design principles, QA/testing frameworks, and cybersecurity practices.
- Expertise in Agile/Scrum methodologies and experience managing distributed, cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
- PMP, Agile, or Scrum certifications are a strong advantage.
Requirements
- Lead end-to-end delivery of AI and data-driven projects, overseeing planning, development, testing, deployment, and post-release support.
- Manage multiple concurrent AI initiatives, ensuring adherence to timelines, scope, budget, and quality standards.
- Coordinate and align cross-functional teams including AI/ML engineers, data engineers, backend and React frontend developers, QA, cybersecurity, and UI/UX designers.
- Translate complex business requirements into clear technical specifications, project plans, and development roadmaps.
- Monitor project progress, proactively manage risks, and enforce robust project governance and reporting mechanisms.
- Collaborate closely with stakeholders to align AI solutions with strategic business objectives and operational needs.
- Ensure adherence to best practices in software development lifecycle, security compliance, quality assurance, and agile methodologies.
- Drive continuous improvement in project delivery processes and team collaboration.
Job Requirements
- 8–12 years of experience in software development or technical project management, with a proven track record managing AI/ML or data-driven projects.
- Deep understanding of Generative AI (LLMs), machine learning frameworks, and AI solution architectures.
- Knowledge of data engineering pipelines, modern data platforms, and cloud environments (Azure, AWS, GCP preferred).
- Familiarity with React-based frontend architecture, APIs, UI/UX design principles, QA/testing frameworks, and cybersecurity practices.
- Expertise in Agile/Scrum methodologies and experience managing distributed, cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
- PMP, Agile, or Scrum certifications are a strong advantage.
- Lead end-to-end delivery of AI and data-driven projects, overseeing planning, development, testing, deployment, and post-release support.
- Manage multiple concurrent AI initiatives, ensuring adherence to timelines, scope, budget, and quality standards.
- Coordinate and align cross-functional teams including AI/ML engineers, data engineers, backend and React frontend developers, QA, cybersecurity, and UI/UX designers.
- Translate complex business requirements into clear technical specifications, project plans, and development roadmaps.
- Monitor project progress, proactively manage risks, and enforce robust project governance and reporting mechanisms.
- Collaborate closely with stakeholders to align AI solutions with strategic business objectives and operational needs.
- Ensure adherence to best practices in software development lifecycle, security compliance, quality assurance, and agile methodologies.
- Drive continuous improvement in project delivery processes and team collaboration.
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