ABOUT THE COMPANY
ConeTec is a global leader in geotechnical site investigation and in-situ testing. Our growing 800+ person team work in dynamic, field, office and research-based environments where technical excellence, safety, and leadership go hand in hand.
At ConeTec, growth is not just about expanding our business, it's about developing our people, our systems, and our capabilities at every stage. As we advance toward our 2030 Vision, we're investing in the data foundations, technology platforms, and AI capabilities that will help our teams work more efficiently, make better-informed decisions, and deliver even more value to our clients.
SCOPE OF THE POSITION
We are looking for an AI Enablement Specialist to step into a newly created role that will help shape how ConeTec leverages AI across the business. Reporting directly to the Chief Operating Officer, this role is fundamentally about partnership, sitting down with leaders across Finance, HR, Project Management, Operations, Marketing, and our field teams to understand how work actually gets done, then translating those conversations into practical AI solutions that make the business more efficient, better aligned, and easier to scale.
The role is hands-on. You will identify the highest-value opportunities, build the business cases, run the pilots, deliver the training, and own the data foundation that makes any of it work. You'll travel regularly to ConeTec's offices and field sites there is no substitute for being on the ground, watching the work, and building the relationships that turn a tool rollout into adoption.
You'll operate within our parent company's IT framework and partner closely with their team. This is a highly visible role with real influence, ideal for someone who enjoys building things from the ground up, aligning systems that haven't talked to each other before, and helping colleagues see what's possible.
ROLES, RESPONSIBILITIES & EXPECTATIONS
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
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SKILLS, QUALIFICATIONS AND EXPERIENCE REQUIRED
Experience 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
Technical Skills
- 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
Soft skill requirements
- Translator - moves easily between technical, business, and non-technical audiences without losing anyone
- Strong listener - gets the most out of business partner conversations and uncovers needs people may not articulate at first
- Hands-on builder who would rather ship a working pilot than write a strategy deck
- Excellent written and verbal communication, particularly for documentation and training
- Curious about emerging AI capabilities but disciplined about evaluating them against real business needs
- Systems thinker - sees how data, processes, and tools fit together across the organization
- Comfortable holding the line on governance without becoming the "department of no"
- Collaborative - builds strong working relationships with parent company IT, ConeTec leadership, and end users across the business
Willing and able to travel regularly to ConeTec's offices and field sites
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Why ConeTec
- 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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ConeTec is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other status protected by applicable law.
