Genomics Artificial Intelligence jobs
- Moneris SolutionsToronto, ON
- Full-time
- Paid time off
- Profit sharing
- As Vice President, Data & Artificial Intelligence, you will define and execute an enterprise data and AI strategy, transforming fragmented capabilities into a…
- EYToronto, ON M5H 0B3
- $110,000–$160,000 a year
- Dental care
- Leverage AI agents to support metadata enrichment, lineage intelligence, data quality automation, and real-time anomaly detection.
- View all EY jobs - Toronto jobs - AI Architect jobs in Toronto, ON
- Salary Search: AI and Data - Data Architect - Healthcare salaries in Toronto, ON
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Generative AI (GenAI) | Prompt Engineer
Easily applyOften replies in 1 dayMedfarMontréal, QC- Paid time off
- RRSP Contribution
- Reporting to the Director of UX, you will sit at the intersection of product, clinical quality, and AI craft, working closely with product designers, developers…
Forward Deployed Development Manager, Generative AI, Google Cloud
Often replies in 9 daysGoogleToronto, ON M5H 2G4- $260,000–$267,000 a year
- Full-time
- Google utilizes AI tools to assist in assessing candidates in our hiring processes.
- Bachelor’s degree in Engineering, Computer Science, a related field, or…
Managing Data Architect
Often replies in 1 dayCapgeminiToronto, ON- $91,599–$214,896 a year
- Permanent
- Paid time off
- Vision care
- Dental care
- Employee assistance program
- Disability insurance
- RRSP
- The Chief Data Architect is responsible for defining and governing the enterprise‑wide data architecture strategy to support business growth, digital…
- View all Capgemini jobs - Toronto jobs - Data Architect jobs in Toronto, ON
- Salary Search: Managing Data Architect salaries in Toronto, ON
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Managing Data Architect
Often replies in 1 dayCapgeminiToronto, ON- $91,599–$214,896 a year
- Permanent
- Paid time off
- Vision care
- Dental care
- Employee assistance program
- Disability insurance
- RRSP
- The Chief Data Architect is responsible for defining and governing the enterprise‑wide data architecture strategy to support business growth, digital…
- View all Capgemini jobs - Toronto jobs - Data Architect jobs in Toronto, ON
- Salary Search: Managing Data Architect salaries in Toronto, ON
- See popular questions & answers about Capgemini
Biostatistician - AI Trainer
Easily applyDataAnnotationSurrey, BC- $55–$60 an hour
- Contract +1
- Flexible schedule
- AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world…
Computational Neuroscientist - AI Trainer
Easily applyDataAnnotationCornwall, ON- $55–$60 an hour
- Contract +1
- Flexible schedule
- AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world…
Research Data Scientist - AI Trainer
Easily applyDataAnnotationKelowna, BC- $55–$60 an hour
- Contract +1
- Flexible schedule
- We are looking for an experienced Research Data Scientist - AI Trainer to help advance AI development.
- AI models are increasingly capable of performing complex…
View similar jobs with this employerSanofi EUToronto, ON M5R 3V5- $121,000–$174,800 a year
- Extended health care
- Integrate data across R&D systems (clinical, regulatory, competitive intelligence) into unified portfolio views.
- External Data Sharing Platform Management.
- BenevaMontréal, QC
- Full-time
- Cumuler un minimum de dix (10) années d’expérience pertinente en intelligence artificielle, science des données, apprentissage machine, analytique avancée ou…
- CitcoHalifax, NS
- Full-time
- Research & Development (R&D) is a multidisciplinary team that focuses on conducting Proof of Concepts (PoCs), thorough market analysis, and in-depth research to…
View similar jobs with this employerSanofi EUToronto, ON M5R 3V5- $144,100.00–$208,166.66 a year
- Extended health care
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Experimentation Analyst - AI Trainer
Easily applyDataAnnotationVictoria, BC- $55–$60 an hour
- Contract +1
- Flexible schedule
- We are looking for an experienced Experimentation Analyst - AI Trainer to help advance AI development.
- AI models are increasingly capable of performing complex…
AI Adoption Lead
Easily applyBIS Safety SoftwareSherwood Park, AB- $70,000–$90,000 a year
- Full-time
- Vision care
- Dental care
- Life insurance
- Disability insurance
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
View similar jobs with this employerSanofi EUToronto, ON M5R 3V5- $105,200.00–$151,933.33 a year
- Extended health care
- A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML)…
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Job Post Details
Vice President, Data Management & Artificial Intelligence (AI) - job post
Job details
Job type
- Full-time
Location
Benefits
Pulled from the full job description
- Paid time off
- Profit sharing
Full job description
Your Moneris Career – The Opportunity
Moneris is building a modern, enterprise‑grade data and AI foundation to accelerate decision‑making, enable new products and operations, and unlock measurable business value. As Vice President, Data & Artificial Intelligence, you will define and execute an enterprise data and AI strategy, transforming fragmented capabilities into a scalable, secure, and trusted foundation that powers analytics, reporting, and AI‑enabled solutions.
This role partners closely across Technology, Product, Sales, Operations, Risk, Legal, Privacy, Security, and Finance to ensure data and AI are governed, trusted, and deployed responsibly. You will own enterprise data platforms, data engineering, AI/ML and Generative AI engineering, data science, and MLOps, while integrating with Finance‑owned analytics (BI and reporting) through shared governance, metrics, and value realization.
Location: You will be based in our Etobicoke office, balancing in-office collaboration with remote flexibility.
Reporting Relationship : You will report to the Chief Information Officer, Technology.
Posting Type: Replacement.
What You’ll Do
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Define and deliver a multi‑year enterprise data and AI strategy aligned to business priorities, technology direction, and risk appetite.
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Lead data engineering, AI engineering, data science, and MLOps teams, establishing standards, operating models, and delivery practices.
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Design, build, and operate secure, resilient, and scalable data platforms supporting analytics, regulatory reporting, and AI use cases.
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Drive development and production deployment of AI/ML and Generative AI solutions, including lifecycle management, monitoring, and continuous improvement.
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Establish and mature MLOps capabilities for deployment, observability, governance, and cost/performance optimization.
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Embed data governance, privacy, security, and responsible AI by design in partnership with Risk, Legal, Privacy, Security, and Finance.
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Define enterprise standards for data quality, lineage, access, and retention for sensitive and regulated data.
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Partner with business and technology leaders to prioritize and deliver high‑value data and AI initiatives.
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Build and lead high‑performing teams, fostering cross‑functional collaboration and sustained adoption.
What Success Looks Like (6–12 Months)
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An approved enterprise data and AI roadmap with funding, milestones, and measurable outcomes.
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Stabilized and scaling core data platforms with improved security, data quality, lineage, reliability, and time‑to‑data.
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1–3 AI/ML or Generative AI solutions transitioned from pilot to production with defined controls and business impact.
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Strong operating rhythms with Technology and Finance supporting governance, shared metrics, and value realization.
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A capable leadership team and talent plan in place to sustain delivery and modernization.
What You Bring
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10+ years of experience across enterprise data platforms, data engineering, and AI/ML, including 5+ years in senior leadership roles.
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Proven experience scaling data and AI solutions from pilot to production, including operations, reliability, and monitoring.
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Strong background implementing data governance, privacy, security, and responsible AI in regulated environments.
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Ability to influence senior leaders by translating technical strategy into business outcomes.
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Demonstrated people leadership across data engineering, AI engineering or data science, and MLOps teams.
Preferred Qualifications
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Experience in payments, fintech, or highly regulated industries.
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Familiarity with modern cloud data architectures (e.g., lakehouse, streaming/event‑driven data, API‑based data products).
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Experience establishing enterprise data platform or data product operating models.
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Vendor and partner management experience for data and AI platforms.
Your Moneris Career - What you get
At Moneris, we believe in empowering you to succeed—personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.
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Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).
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Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.
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Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.
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Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.
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Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs
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Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.
Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers .
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Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.
AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.
We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.