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Ai In Jobs in Manitoba (NOW HIRING)

... and emerging AI use cases. Pipelines, data products, and platform patterns are all in scope. A core part of the mission is reducing friction across the data lifecycle: onboarding, modeling ...

Senior QA Automation Engineer

Winnipeg, MB · On-site

CA$110K - CA$120K/yr

Mentor QA Analysts and developers in modern automation, AI-assisted testing, and failure diagnosis. People Leadership and Collaboration * Lead, mentor, and develop team members; hire and organize ...

Led by a team of established contact center experts, Laivly addresses the unique needs and challenges of customer service programs, with an emphasis on ethics in AI and the customer service agent ...

AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG's Trusted AI framework. We believe technology ...

AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG's Trusted AI framework. We believe technology ...

All AI use is performed in accordance with Magellan's privacy policies and applicable laws, including but not limited to equal employment opportunity laws. Personal information associated with any ...

Showing results 41-60

Ai In information

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

Infographic showing various Ai In job openings in Manitoba as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Digital Enablement Consultant

Alquemy

Winnipeg, MB • On-site

Full-time

Posted 23 days ago


Job description

Job Description Senior Digital Enablement Consultant Position Overview We are seeking an experienced Senior Digital Enablement Consultant to lead digital transformation, business process modernization, automation, Microsoft 365, low-code solutions, and AI enablement initiatives across a complex enterprise environment. Key Responsibilities Develop digital enablement strategies, roadmaps, operating models, and service frameworks. Establish governance, standards, reference architectures, and guardrails for automation, low-code, M365, Copilot, and AI solutions.

Design intake, prioritization, and decision-making processes for digital initiatives. Lead workshops and collaborate with business leaders, technical teams, and executives. Develop Communities of Practice, training, adoption, and knowledge-transfer programs.

Assess digital maturity and recommend improvements. Support automation initiatives and transition capabilities into sustainable operations. Drive organizational change, stakeholder alignment, and adoption.

Qualifications 10+ years of experience in digital transformation or business process modernization. 5+ years of experience with enterprise automation, low-code solutions, digital enablement, or Innovation/Automation CoEs. Strong experience developing governance frameworks, standards, and enterprise guardrails.

Experience with Microsoft 365, Power Platform, Copilot, and/or AI governance. Strong stakeholder management, facilitation, and executive communication skills. Bachelor's degree in Business, Engineering, Computer Science, IT, or related field, or equivalent certification.

Microsoft Power Platform, Copilot, or equivalent certifications are a plus.