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Phd In Technology Management Jobs (NOW HIRING)

Conant Automotive Resources LLC

IT Intern

Cerritos, CA

$18 - $22/hr

Maintain regular communication with the Service Desk Manager. * Participate in employee onboarding ... Install, label, inspect, and maintain technology equipment and tech areas across all dealership ...

TriOptus LLC

Technology Control Officer

Tampa, FL · On-site

The TCO will be responsible for governance in the areas of technology risk management and risk assessment, compliance with policies and standards in technology, SDLC, regulatory, information security ...

Genentech

Head of Product Biometrics

Boston, MA · On-site +1

$182K - $339K/yr

Advanced degree (Master/PhD) in a Science or Technology discipline; PhD preferred. * 10+ years in Product Management or Business Analysis, with at least 4 years in Pharma/Biotech Biometrics domain ...

Genentech, Inc.

Head of Product Biometrics

Boston, MA · On-site

$182K - $339K/yr

Advanced degree (Master/PhD) in a Science or Technology discipline; PhD preferred. * 10+ years in Product Management or Business Analysis, with at least 4 years in Pharma/Biotech Biometrics domain ...

U.S. Department of Defense (DOD)

$37K/yr

This position serves as a Student Trainee (Information Technology Management) for U.S. Army ... Students who are eligible for participation in the Department of the Army Internship Program ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

... and execution technology enables us to provide competitive bids and offers in over 19,000 ... Develop risk models and frameworks to manage portfolio risks * Create tools to automate research ...

Kaav Inc.

Senior IT Governance Project Manager

Washington, DC · On-site

$148K - $148K/yr

Bachelor's degree in Project Management, Accounting, Business Administration, Finance, Economics ... Significant experience in technology management, analysis, and administration. * Ability to ...

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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.
Machine Learning Internship - PhD: 2027

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Posted 9 days ago

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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