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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