Senior AI Solutions Analyst guiding Desjardins Group’s financial services sectors in responsible productivity AI adoption. Assessing use cases, value, risks and Microsoft AI solutions.
About the role
- AI Enablement Specialist at ConeTec, a leader in geotechnical site investigation. Partnering to leverage AI across various business functions for improved efficiency.
Responsibilities
- Partner with the Business to Identify High-Impact AI Opportunities
- Meet regularly with leaders across Finance, HR, Project Management, Operations, Marketing, and our field teams to understand their workflows, priorities, and pain points
- Identify and prioritize the highest-value AI use cases - proposal drafting, invoice processing, candidate screening, project reporting, field data summarization, and others we haven't thought of yet
- Build short business cases for shortlisted opportunities and recommend what to pilot, what to scale, and what to park
- Travel regularly to ConeTec's offices and field sites to build context, relationships, and credibility across the business
- Drive AI Adoption and Build Change Capability
- Lead the rollout, configuration, and ongoing optimization of Microsoft 365 Copilot and other AI tools across the company
- Look for opportunities to embed AI into existing workflows rather than bolt new tools onto the side
- Run time-boxed pilots, measure outcomes, iterate, and scale what works
- Design and deliver training, office hours, and an internal champions network so AI tools get used and used well
- Create prompt libraries, job-aids, and short-form walkthroughs tailored to each team's workflows
- Track adoption and address drop-off
- Evaluate and Onboard New AI Tools
- Continuously scan emerging AI tools and platforms relevant to ConeTec's work
- Run vendor security and privacy reviews for new tools, in alignment with parent company IT framework
- Build short business cases and recommend buy / build / wait decisions to leadership
- Build the Data Foundation that Powers AI
- Design, build, and maintain data pipelines using Azure Data Factory to consolidate data from across ConeTec's business systems
- Architect and operate ConeTec's Azure Data Lake - structure, partitioning, lifecycle - as the trusted source for analytics and AI
- Develop Azure Functions and supporting automations to keep data flowing, fresh, and accurate
- Integrate disparate systems so teams across the business work from a single, consistent view of the data
- Establish and Operate Data Governance
- Define and enforce data quality standards - completeness, accuracy, timeliness, consistency - across critical datasets
- Build and maintain a data catalog, business glossary, and lineage documentation so the business knows what data exists, what it means, and where it came from
- Set classification and access controls for sensitive data, in alignment with best practice and parent company policy
- Establish master data management practices for key entities (clients, projects, employees, equipment)
- Build AI Governance and Guardrails
- Develop and maintain ConeTec's AI Acceptable Use Policies and supporting standards, in alignment with parent company IT framework
- Maintain the AI tool registry and use-case inventory
- Monitor usage, surface risks, and report to leadership
- Measure Impact and Report Out
- Define and track metrics for AI adoption, productivity gains, data quality, and governance risks
- Prepare reports for the COO, senior leadership, and parent company IT
- Use insights to refine the program
Requirements
- 3-6 years of progressive experience in a role that combined AI enablement, digital transformation, data engineering, or business systems work - ideally in a Microsoft and Azure environment
- Demonstrated success deploying productivity tools (Microsoft 365 Copilot, Power Platform, or similar) to non-technical users at organizational scale
- Hands-on experience designing and operating Azure-based data solutions, including Azure Data Factory, Azure Data Lake, and Azure Functions
- Practical experience implementing data governance practices - data quality, classification, lineage, master data - that improved business outcomes
- Experience partnering directly with business leaders to identify, prioritize, and deliver technology solutions
- Experience operating within a broader corporate or parent-company IT framework is a strong asset
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business Technology, or a related field (equivalent experience considered)
- Deep familiarity with the Microsoft Azure ecosystem: Azure Data Factory, Azure Data Lake (Gen2), Azure Functions, Azure SQL, Microsoft Entra ID
- Strong knowledge of the Microsoft 365 ecosystem: Copilot, SharePoint, Teams, Power BI, Power Automate
- Working knowledge of data governance platforms (Microsoft Purview an asset)
- Familiarity with AI/ML fundamentals - enough to evaluate tools, write effective prompts, and explain capabilities and limits to colleagues
- Microsoft certifications (Azure Data Engineer Associate, Azure AI Engineer, M365 Copilot, Power Platform) considered an asset
Benefits
- Opportunity to build and shape ConeTec's AI and data enablement program from the ground up
- Direct report to the COO with executive visibility and influence
- Backing of a parent company IT framework and a Microsoft 365 / Azure foundation to build on
- A chance to see the business by getting out to offices and field sites around the world
- A genuine culture that values safety, learning, and continuous improvement
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