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Phd In Technology Management Jobs (NOW HIRING)

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IT Management Analyst VI

Germantown, MD · Hybrid

The IT Management Analyst provides specialized expertise in federal acquisition management, contract administration, and IT procurement support to the Department of Energy's Office of the Chief ...

LifeCycle Corporation

$127K - $153K/yr

... a PhD in Engineering, Computer Science, Mathematics, or appropriate field from an accredited ... Understanding of IT management and operations Individual Capabilities/Experience Desired:

Mercor

AI Research Collaborator - PhD

New York, NY · Remote

$80 - $110/hr

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ... Basic ability to work independently and manage time effectively. * Strong verbal and written ...

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Phd In Technology Management information

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$43.5K

$116.8K

$201K

How much do phd in technology management jobs pay per year?

As of Jun 16, 2026, the average yearly pay for phd in technology management in the United States is $116,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $141,000.00 per year, depending on experience, location, and employer.

Is DBA as good as PhD?

A PhD in Technology Management is a research-focused degree that prepares individuals for academic, research, or high-level consulting roles, while a DBA (Doctor of Business Administration) is a professional doctorate emphasizing practical application and leadership in business settings. Both degrees are advanced, but a PhD typically emphasizes theoretical knowledge and research skills, whereas a DBA focuses on applied practice and managerial expertise; the choice depends on career goals. In the technology management field, a PhD may be more suitable for academic or research positions, while a DBA can be valuable for executive leadership roles.

Is MIS in high demand?

Management Information Systems (MIS) professionals are in high demand due to the increasing reliance on technology and data management in organizations. Roles often require skills in database management, systems analysis, and familiarity with enterprise software, making MIS a valuable field for technology management professionals. Job growth is expected to continue as companies prioritize digital transformation and data-driven decision-making.

What jobs can you get with a technology management degree?

A PhD in Technology Management prepares graduates for roles such as technology director, IT project manager, innovation manager, or research scientist. These positions often require strong leadership, strategic planning, and technical expertise, and may involve overseeing technological development, managing teams, or conducting research in tech-driven industries.

What is a PhD in Technology Management?

A PhD in Technology Management is an advanced doctoral degree focused on the study and research of managing technological innovation, development, and implementation within organizations. This program combines principles from management, engineering, and technology to prepare graduates for leadership roles in academia, industry, or government. Students learn to address complex challenges involving technology strategy, policy, and operations, often conducting original research that contributes to the field. Graduates are equipped to drive technological advancements and improve organizational performance through effective technology management.

Is a PhD in Management worth it?

A PhD in Technology Management prepares individuals for research, academia, and leadership roles in technology-driven organizations. It can lead to higher-level positions, consulting opportunities, and specialized expertise, but requires significant time and investment with variable job market demand. The value depends on career goals and industry needs.

What is the difference between Phd In Technology Management vs Technology Consultant?

AspectPhd In Technology ManagementTechnology Consultant
Required CredentialsDoctorate degree, specialized researchBachelor's or Master's degree, industry experience
Work EnvironmentAcademic, research, or corporate R&DClient sites, consulting firms, corporate projects
Industry UsageResearch institutions, universities, corporate R&DBusiness, IT, engineering sectors
Common Search IntentAcademic careers, research roles, advanced positionsProblem-solving, strategic advice, project implementation

The main difference is that a Phd In Technology Management focuses on research, academic work, and developing new knowledge, while a Technology Consultant applies technical expertise to solve business problems for clients. The Phd is more research-oriented, whereas the consultant role emphasizes practical application and client interaction.

What types of career paths can a PhD in Technology Management lead to in industry and academia?

A PhD in Technology Management opens diverse career opportunities in both industry and academia. In industry, graduates often pursue roles such as technology strategy consultants, innovation managers, R&D directors, or chief technology officers, where they guide organizations through technological change and innovation. In academia, positions include university faculty, research leads, or program directors, focusing on teaching, publishing research, and mentoring students. The interdisciplinary nature of the degree allows for flexibility and advancement into leadership positions, especially in organizations prioritizing digital transformation and technological innovation.

What are the key skills and qualifications needed to thrive as a PhD in Technology Management, and why are they important?

To thrive as a PhD in Technology Management, you need advanced expertise in technology strategy, innovation management, and research methodologies, typically supported by a doctoral degree in a related field. Familiarity with data analytics tools, project management systems, and scholarly research databases is often required. Strong analytical thinking, leadership, and effective communication are vital soft skills for driving technology initiatives and collaborating with diverse stakeholders. These skills are essential to lead complex technology projects, conduct impactful research, and bridge the gap between technical teams and organizational goals.
Infographic showing various Phd In Technology Management job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 94% Full Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $116,795 per year, or $56.2 per hour.

PhD Data Scientist - Generative AI & Machine Learning

Henderson Scott

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

PhD Data Scientist – Generative AI & Machine Learning


📍 New York, NY or Sunrise, FL (Hybrid)

💰 $100,000 – $140,000 + Benefits

🏭 Financial Services / Artificial Intelligence

🕒 Full-time W2 | 8+ Years Experience


We're seeking a highly skilled Data Scientist with a PhD and strong expertise in Artificial Intelligence, Machine Learning, Natural Language Processing and Generative AI to join a global enterprise technology team supporting large-scale AI initiatives.


This role will focus on designing, building and deploying production-grade AI solutions, working across the full lifecycle from research and modelling through to implementation and deployment. You'll collaborate with technical and business stakeholders to solve complex real-world challenges using advanced AI techniques.


What We're Looking For

✔ PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics or a related field

✔ Strong Python programming and software engineering skills

✔ Hands-on experience building LLM, Generative AI, RAG or Agentic AI solutions

✔ Strong foundations in Machine Learning, Deep Learning and Data Science

✔ Experience developing and deploying AI models into production environments

✔ Experience with frameworks such as TensorFlow, Scikit-Learn, LangChain, CrewAI, PyTorch or similar

✔ Ability to research, evaluate and apply emerging AI technologies and methodologies


Nice to Have

➕ AWS or GCP experience

➕ Kubernetes, Docker, Airflow, Kubeflow or MLFlow

➕ Experience with multimodal AI, recommendation systems, NLP or advanced forecasting


If you're passionate about applying cutting-edge AI technologies to solve large-scale business problems and want to work on the next generation of AI solutions, we'd love to hear from you.


Apply now to learn more.

Apply