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Research Data Manager Jobs in Calgary, AB (NOW HIRING)

Manager Cyber Cloud Security and AI

Calgary, AB ยท Hybrid

CA$116K - CA$166K/yr

Innovation & Research:Stay ahead of industry trends and advancements in AI security and data ... Risk Management:Conduct risk assessments toidentifyvulnerabilities in AI systems and data ...

Accurately record data, processing parameters, and observations during and after laboratory runs ... Strong organizational and time management skills * Willingness to learn new equipment, processes ...

E Source is a research, data/analytics, and technology focused professional services firm focused ... technologies to manage their business more effectively. Headquartered in Texas, we have 450 ...

Participate in the promotion of Alimentiv as a global research organization, by contributing to the ... Work with data management team to ensure data captured incorporates and corresponds to project ...

Ensure educational practices are aligned with the Fueling Brains research, data and strategies ... Manage day-to-day administrative tasks, including enrollment, scheduling, staffing, payroll and ...

Product Manager

Calgary, AB ยท On-site +1

... Manager to lead the development and growth of our product offerings. In this role, you will be ... Identify customer needs and market trends through research and data analysis. * Assess market ...

... Manager to lead the development and growth of our product offerings. In this role, you will be ... Identify customer needs and market trends through research and data analysis. * Assess market ...

Showing results 21-40

Research Data Manager information

What is a research data manager?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

What are the key skills and qualifications needed to thrive as a research data manager?

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What are some common challenges faced by research data managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

What is the difference between Research Data Manager vs Data Analyst?

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Research Data Manager jobs in Calgary, AB?

For Research Data Manager jobs in Calgary, AB, the most frequently searched job titles are:

Infographic showing various Research Data Manager job openings in Calgary, AB as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Research Associate, Semiconductors & AI Infrastructure - 26229D

Drilling Info

Calgary, AB โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Description

Research Associate, Utilities & AI Infrastructureย 

Why YOU want this positionย 

At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.ย 

We are the most trustedย energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.ย 

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

The Utilities & AI Infrastructure team sits at the intersection of two of the most capital-intensive build-outs in the modern economy: the electrification of the US grid and the explosive growth of AI data-center demand. We produce intelligence products, financial models, and strategic research used across Enverus and by clients navigating this convergence. The work is fast, data-dense, and consequential.ย 

Most research shops hand the hardest problems to the most senior person on the team and have everyone below execute. We do the opposite. Every analyst, including those at entry level, owns their projects end to end and pulls in senior teammates for guidance. That hands-on, problem-by-problem ownership is how you build the judgment to add real value for clients, and it's the single biggest reason people stay on this team.ย 

Performance Objectives

  • Build andย maintain financial models tracking power-demand growth from hyperscaler and co-location data centers across ISO regions.
  • Monitor utility filings, rate cases, interconnection queues, and capacity-expansion plans, and surface what matters for Enverus clients.
  • Conduct primary research: earnings calls, investor days, regulatory dockets, and industry conferences.
  • Synthesize findings into concise written briefs, data tables, and internal memos.
  • Support senior analysts on large research projects, from data collection through publication.
  • Work with Enverus proprietary datasets (PRISM and our market-intelligence platforms) to ground research in primary energy data.ย 

Competitive Candidate Profile

  • A clear communicator. You can turn a filing or earnings transcript into a tight, pointed summary, and explainย it so a non-expert gets it.
  • 0 to 3 years in energy, finance, consulting, or a research-intensive role; internship experience counts.
  • Quantitative fluency: comfortable building and auditing Excel models.
  • Genuine curiosity about power infrastructure, AI-hardware supply chains, or energy-transition dynamics.
  • Care about getting the details right; you notice when the numbersย don't tie.
  • Familiarity with SQL, Python, or data tools is a plus, not a requirement.
  • Prior exposure to utility regulation, PJM, ERCOT, or MISO market structure, or data-center real estate.
  • Experience with the sell-side or buy-sideย equity-research process.
  • You can form a view and back it up.ย We're hiring an analyst, not a summarizer.

Why this role

AI infrastructure is one of the most analytically underserved corners of energy right now. You'll have access to proprietary Enverus data most analysts can't touch, work on research that gets read at the executive level andย build expertise in a space growing faster than almost anything else in the economy.ย