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Added 43 mins ago
V
QA Engineer
Varonis
Vancouver, BC
- Full-time
Familiarity with cloud platforms (AWS, GCP, or Azure).
Added 1 hour ago
IT Support Technician
CONA Services
Montreal, QC · Lachine, QC
Fundamental knowledge of cybersecurity, O365, Azure, Intune, MDM.
Added 3 hours ago
A
Customer Support Developer (Databases)
Airbyte
Remote, Canada
- $101,000 to $110,000 CAD / year
- Full-time
- Remote
Are you the kind of developer who gets a rush from cracking a gnarly replication bug, an issue with CDC implementation, or a query that hangs with no obvious reason? Do you thrive at the…
Added 3 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Experience with cloud-based infrastructure and application deployment (Amazon Web Services, Google Cloud Platform, Azure, etc.).
Added 4 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Experience with Agile/Scrum practices and Azure DevOps tools
Added 4 hours ago
C
C# Senior Developer - OTT Team (French Services) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
Knowledge of Docker, Kubernetes, and Azure cloud is an asset.
Added 4 hours ago
T
Channels Architect
TD
Toronto, ON
- Full-time
Own the frontend platform: build tooling, testing frameworks, CI/CD integration, and developer experience for frontend teams.
Added 4 hours ago
IF
Senior Security Advisor (DevSecOps) - Detection Engineering
Intact FC
Montreal, QC · Laval, QC · Saint-Hyacinthe, QC
- Full-time
Experience with cloud security across AWS, Azure, or GCP, including identity, logging, and network controls.
Added 5 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
…operational stability across multi-cloud environments (GCP, AWS, Azure). The SRE will drive observability improvements, automate processes, and maintain compliance while collaborating with…
Added 5 hours ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
We are looking for a senior-level Infrastructure Engineer with deep expertise in Azure Cloud architecture and production-grade Terraform development. You will own the creation,…
Added 5 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
Contribute to automation across multiple environments (Azure, GCP, and datacenters), including infrastructure as code (Terraform), deployment pipelines (GitHub Actions, ArgoCD), and…
Added 6 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 6 hours ago
SM
RQ11531 – Scrum Master – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Cloud and Containerization Technologies: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and tools like Docker or Kubernetes.
Added 6 hours ago
SM
RQ11648 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Azure DevOps for requirements tracking and project collaboration
Added 6 hours ago
SM
RQ11639 – UX Designer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience working in Agile delivery environments using Azure DevOps, Jira, or similar tools.
Added 6 hours ago
SM
RQ11491 - Product Manager - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…roadmaps, and working with Microsoft Dynamics 365, Power Platform, Azure, and Dataverse. The role requires strong leadership, communication, governance, and stakeholder engagement skills…
Added 6 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 6 hours ago
SM
RQ11615 - Business Analyst - Junior
S M Software Solutions Inc
Toronto, ON
- Internship
…workshops, JAD sessions, and tools such as JIRA, Confluence, Azure DevOps, Visio, Lucidchart, MIRO, and Figma. Experience with OPS procurement, regulatory compliance, service delivery…
Added 6 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 6 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Knowledge of cloud technologies such as Azure, AWS.
Added 7 hours ago
LF
IT Developer
Leons Furniture Limited
Toronto, ON
- Full-time
Leon’s is currently looking for a self-motivated IT Developer who is enthusiastic, hardworking and driven towards success. The ideal candidate has the drive and determination to continue to…
Added 10 hours ago
S
Post‑Quantum Research & PKI Cryptography Engineer
Securetron
Canada
- Full-time
Developer Enablement - Produce documentation, reference implementations, and internal guidance for engineering teams.
Added 10 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Experience with Agile/Scrum practices and Azure DevOps tools
Added 11 hours ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
Modern Cloud & Lakehouse Platforms: Proven hands-on experience with modern cloud data platforms (Databricks, Snowflake) across major cloud ecosystems (AWS, Azure, GCP)
Added 11 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Exposure to Microsoft Azure and cloud-based enterprise environments.

Avanade

Senior Manager, AI Strategy & Business Development

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 9, 2026
Posting language: English
Posted: Oct 10, 2026

Original job description

What You'll Do

Origination and Business Development

Identify and originate new AI opportunities within existing and prospective client accounts.
Partner closely with sales and account teams to develop account-specific AI growth strategies.
Build relationships with senior client stakeholders and uncover business challenges that can be addressed through AI.
Lead AI opportunity qualification, discovery, value articulation, and deal-shaping activities.
Help clients prioritize AI use cases based on business value, feasibility, adoption requirements, risk, and scalability.
Develop compelling AI narratives, points of view, and executive-level propositions that differentiate our capabilities in the market.
Expand our AI footprint within strategic accounts by moving conversations from isolated experimentation to broader transformation programs.
Maintain a strong understanding of the AI market, our technology partners’ evolving portfolios, client priorities, and competitive offerings.

Presales and Solution Shaping

Lead executive discovery sessions, AI strategy workshops, innovation sessions, and solution envisioning engagements.
Translate business priorities into credible AI transformation roadmaps and actionable consulting opportunities.
Shape AI pursuits from initial client conversation through qualification, proposal development, oral presentations, negotiation, and transition to delivery.
Create and present business cases that connect AI investments to measurable business outcomes.
Collaborate with architects and subject matter experts to define solution approaches, estimates, delivery roadmaps, commercial models, assumptions, and risks.
Ensure proposed solutions are technically credible, commercially viable, and aligned with the client’s ability to adopt and scale AI.
Support proposal responses, executive presentations, demonstrations, proofs of concept, and client-facing solution narratives.
Work with our technology partners, including Microsoft and Databricks, to develop and advance joint AI opportunities.

Executive Client Leadership

Act as a trusted AI advisor to C-suite and senior client stakeholders.
Help clients navigate the rapidly evolving AI landscape and distinguish practical opportunities from market hype.
Advise clients on AI strategy, operating models, adoption, governance, value realization, and responsible deployment.
Facilitate conversations that connect AI capabilities to business strategy, workforce transformation, customer experience, operational efficiency, and growth.
Build credibility with both business executives and senior technology leaders.
Maintain trusted client relationships beyond individual pursuits to support long-term account growth.

AI Thought Leadership and Market Presence

Represent the Data & AI practice in client briefings, executive events, industry forums, and partner discussions.
Develop reusable points of view, offerings, demonstrations, and sales enablement materials.
Contribute to the evolution of our AI go-to-market strategy and priority solution plays.
Bring informed perspectives on Generative AI, Agentic AI, AI-enabled business processes, intelligent applications, and enterprise AI platforms.
Help sales and account teams confidently position AI capabilities and initiate meaningful conversations with their clients.
Coach consultants, architects, and sales professionals on AI storytelling, value articulation, and opportunity development.

Delivery and Practice Collaboration

Apply practical delivery experience to ensure proposed AI solutions can move successfully from concept to production.
Provide senior oversight during the early stages of strategic AI engagements and support a strong transition from sales to delivery.
Participate in architecture and delivery reviews for high-profile or strategically important AI programs.
Help teams identify delivery risks, adoption barriers, data dependencies, governance requirements, and Responsible AI considerations.
Collaborate with AI engineers, data scientists, data engineers, architects, designers, change specialists, and industry experts.
Support the development of reusable AI accelerators, demonstrations, reference architectures, and industry solutions.

Qualifications

What You'll Bring

10 or more years of experience across Artificial Intelligence, Machine Learning, Data Science, advanced analytics, or related technology consulting disciplines.
Established professional credibility in AI, with the ability to engage confidently with senior business and technology executives.
Proven experience in consulting, professional services, technology advisory, or a comparable client-facing environment.
Demonstrated success in opportunity origination, presales, business development, solution selling, or consulting sales.
Experience shaping complex AI opportunities, including discovery, qualification, solution development, estimation, proposal creation, presentations, and commercial discussions.
A track record of helping expand relationships and generate new work within strategic client accounts.
Strong understanding of Generative AI, Agentic AI, enterprise AI adoption, and the evolution of AI-enabled business processes.
Ability to translate complex AI concepts into clear business value, compelling executive narratives, and practical transformation roadmaps.
Experience collaborating directly with sales executives, account leaders, technology partners, technical specialists, and delivery teams.
Strong executive presence, communication, facilitation, storytelling, and presentation capabilities.
Delivery experience with enterprise AI programs, providing a practical understanding of architecture, implementation, deployment, adoption, governance, and value realization.
Strong commercial judgment and the ability to balance client value, technical feasibility, delivery risk, and commercial outcomes.

Technology and AI Experience

The ideal candidate will have credible experience across several of the following areas:

Generative AI and Large Language Models
Agentic AI and multi-agent solutions
Retrieval-Augmented Generation and enterprise knowledge grounding
AI orchestration, integration, evaluation, observability, security, and governance
Responsible AI principles and enterprise risk management
AI development and agent platforms within our Microsoft and Databricks partner ecosystems
Enterprise data and AI platforms, including Microsoft Fabric and Azure Databricks
AI-enabled process transformation, copilots, intelligent automation, and workflow agents

The role does not require the individual to be the primary hands-on engineer for every engagement. However, they must have sufficient technical depth to establish credibility, challenge proposed approaches, collaborate effectively with architects and engineers, and ensure that client commitments are realistic and executable.

Find out more about some of our benefits Benefits and Total Rewards | Avanade Canada

Avanade is the leading global provider of digital, cloud, AI and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem. Founded in 2000 as a joint venture between Accenture LLP and Microsoft Corporation, Avanade has more certifications, Gold-level competencies and most valued professionals (MVPs) than any other Microsoft partner.

To learn more about being a part of Business Leadership team, check out these videos  

Interested in knowing what’s going on inside Avanade? Check out our blogs:  

Avanade Insights – exchange ideas that drive tomorrow’s innovation https://www.avanade.com/en/blogs/avanade-insights  

Inside Avanade – explore what life is like working at Avanade https://www.avanade.com/en/blogs/inside-avanade

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position.

Information on benefits is here.

British Columbia / Ontario - CAD 177,500 - CAD 210,700

We anticipate this job posting will be posted until at least 11/15/2026.

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More about this job

Responsibilities

Originate and shape AI opportunities, lead executive discovery and presales activities, and develop business cases, proposals, and transformation roadmaps that connect AI investments to measurable outcomes. Advise senior clients on AI strategy and adoption, support strategic pursuits through transition to delivery, and contribute to thought leadership, partner growth, and reusable AI offerings.

Requirements

Requires 10 or more years of experience in AI, machine learning, data science, advanced analytics, or related technology consulting, with proven success in client-facing business development, presales, and complex solution shaping. Candidates should have executive communication skills, practical enterprise AI delivery experience, and technical credibility across areas such as Generative AI, Agentic AI, enterprise platforms, governance, and responsible deployment.

Skills

AI Strategy
Business Development
Opportunity Origination
Presales
Solution Selling
Generative AI
Agentic AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Executive Client Leadership
AI Transformation Roadmaps
Responsible AI
Commercial Judgment
Microsoft Azure
Databricks

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Science
Advanced Analytics
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
AI Orchestration
AI Evaluation
AI Observability
AI Security
AI Governance
Responsible AI
Microsoft
Microsoft Azure
Microsoft Fabric
Databricks
Azure Databricks
Enterprise AI Platforms
AI Transformation
AI Operating Models
AI Adoption
AI Value Realization
AI-enabled Business Processes
Intelligent Automation
Workflow Agents
Copilots
Solution Architecture
Technology Consulting

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