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Phd In Management Jobs in Calgary, AB (NOW HIRING)

Project management * Mentor and develop junior engineers within the department * Maintain close ... Degree in Electrical Engineering; preference for candidates with a Master's or PhD in Power Systems

Project management * Mentor and develop junior engineers within the department * Maintain close ... Degree in Electrical Engineering; preference for candidates with a Master's or PhD in Power Systems

Staff Data Scientist

Calgary, AB ยท Hybrid

CA$192K - CA$230K/yr

... a direct people manager. * Deep Technical Stack: * Expertise in Python and SQL. * Advanced ... Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative ...

Clinical Medical Manager

Calgary, AB ยท On-site

CA$116K - CA$166K/yr

MD, PhD, MSc, MPharm or equivalent in healthcare with strong background in clinical practice or ... Excellent written and verbal communication, presentation skills and stakeholder management skills

Clinical Medical Manager

Calgary, AB ยท On-site

CA$116K - CA$166K/yr

MD, PhD, MSc, MPharm or equivalent in healthcare with strong background in clinical practice or ... Excellent written and verbal communication, presentation skills and stakeholder management skills

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Phd In Management information

Is it worth doing a PhD in Management?

A PhD in Management prepares individuals for academic, research, or high-level consulting roles, often requiring strong analytical and research skills. It can lead to careers in universities, think tanks, or corporate strategy, but it involves several years of study and a competitive job market. The decision depends on career goals and willingness to commit to advanced research and specialization.

What is the salary of PhD in Management?

A PhD in Management typically earns an annual salary ranging from $70,000 to over $150,000, depending on factors such as experience, industry, location, and whether they work in academia or the private sector. Entry-level positions may start lower, while experienced management researchers or professors tend to earn higher salaries.

What jobs can I get with a PhD in Management?

A PhD in Management prepares individuals for roles such as university professor, management consultant, research analyst, or organizational development specialist. These positions often require strong research, analytical, and leadership skills, and may involve teaching, strategic planning, or advising organizations.

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

AspectPhd In ManagementManagement Consultant
Required CredentialsDoctorate degree in management or related fieldBachelor's or Master's degree, often with business or management focus
Work EnvironmentAcademic, research, or teaching settingsCorporate, consulting firms, client sites
Industry UsageHigher education, research institutions, think tanksBusiness, finance, healthcare, technology
Common Search/ComparisonAcademic career, research rolesBusiness strategy, problem-solving

The Phd In Management is primarily an academic qualification preparing individuals for research and teaching roles, while Management Consultants focus on advising organizations to improve performance. Although both roles involve management knowledge, their work environments and career paths differ significantly.

Which PhD is most in demand in management?

The most in-demand PhD in management typically specializes in areas such as organizational behavior, strategic management, or data analytics, with a focus on skills like leadership, research, and quantitative analysis. Candidates with expertise in emerging fields like digital transformation or sustainability are increasingly sought after by organizations seeking innovative management solutions.
What job categories do people searching Phd In Management jobs in Calgary, AB look for? The top searched job categories for Phd In Management jobs in Calgary, AB are:

Principal Machine Learning Engineer, General AI, ML & Big Data

C-Serv

Calgary, AB โ€ข On-site

Other

Medical, Dental, Vision, Life, PTO

Posted 17 days ago


Job description

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers' platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning - powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our Principal ML Engineer's, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

  • Define and drive the technical vision for ML solutions across products and platforms
  • Own the end-to-end software development lifecycle - from design and code reviews through to deployment and operations
  • Architect high-performance, scalable microservices, including synchronous and asynchronous web services
  • Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
  • Mentor engineers, set technical direction, and foster a strong team culture
  • Champion engineering excellence, system resilience, and continuous operational improvement

Requirements

Required Qualifications

  • Degree in Computer Science, Mathematics, or a related field
  • 5-10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
  • 5-10 years of Python expertise, including advanced features and libraries
  • Strong experience designing RESTful APIs (e.g., FastAPI)
  • Proficiency with Docker, Kubernetes, and CI/CD pipelines
  • 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
  • Proven experience as a tech lead or engineering mentor

Preferred Qualifications

  • MS or PhD in Computer Science or ML
  • Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
  • Familiarity with NoSQL and document databases
  • Track record of handling big data, optimising workflows, and improving system performance

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development