AI Enablement Specialist

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    "description": "<p><span style=\"font-size: 12pt\">ABOUT THE COMPANY</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">SCOPE OF THE POSITION</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">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.</span></p>\n<p><span style=\"font-size: 12pt\">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.</span></p>\n<p><span style=\"font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">ROLES, RESPONSIBILITIES &amp; EXPECTATIONS</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Partner with the Business to Identify High-Impact AI Opportunities</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Meet regularly with leaders across Finance, HR, Project Management, Operations, Marketing, and our field teams to understand their workflows, priorities, and pain points</span></li>\n<li><span style=\"font-size: 12pt\">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</span></li>\n<li><span style=\"font-size: 12pt\">Build short business cases for shortlisted opportunities and recommend what to pilot, what to scale, and what to park</span></li>\n<li><span style=\"font-size: 12pt\">Travel regularly to ConeTec's offices and field sites to build context, relationships, and credibility across the business</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Drive AI Adoption and Build Change Capability</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Lead the rollout, configuration, and ongoing optimization of Microsoft 365 Copilot and other AI tools across the company</span></li>\n<li><span style=\"font-size: 12pt\">Look for opportunities to embed AI into existing workflows rather than bolt new tools onto the side</span></li>\n<li><span style=\"font-size: 12pt\">Run time-boxed pilots, measure outcomes, iterate, and scale what works</span></li>\n<li><span style=\"font-size: 12pt\">Design and deliver training, office hours, and an internal champions network so AI tools get used and used well</span></li>\n<li><span style=\"font-size: 12pt\">Create prompt libraries, job-aids, and short-form walkthroughs tailored to each team's workflows</span></li>\n<li><span style=\"font-size: 12pt\">Track adoption and address drop-off</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Evaluate and Onboard New AI Tools</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Continuously scan emerging AI tools and platforms relevant to ConeTec's work</span></li>\n<li><span style=\"font-size: 12pt\">Run vendor security and privacy reviews for new tools, in alignment with parent company IT framework</span></li>\n<li><span style=\"font-size: 12pt\">Build short business cases and recommend buy / build / wait decisions to leadership</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Build the Data Foundation that Powers AI</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Design, build, and maintain data pipelines using Azure Data Factory to consolidate data from across ConeTec's business systems</span></li>\n<li><span style=\"font-size: 12pt\">Architect and operate ConeTec's Azure Data Lake - structure, partitioning, lifecycle - as the trusted source for analytics and AI</span></li>\n<li><span style=\"font-size: 12pt\">Develop Azure Functions and supporting automations to keep data flowing, fresh, and accurate</span></li>\n<li><span style=\"font-size: 12pt\">Integrate disparate systems so teams across the business work from a single, consistent view of the data</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Establish and Operate Data Governance</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Define and enforce data quality standards - completeness, accuracy, timeliness, consistency - across critical datasets</span></li>\n<li><span style=\"font-size: 12pt\">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</span></li>\n<li><span style=\"font-size: 12pt\">Set classification and access controls for sensitive data, in alignment with best practice and parent company policy</span></li>\n<li><span style=\"font-size: 12pt\">Establish master data management practices for key entities (clients, projects, employees, equipment)</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Build AI Governance and Guardrails</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Develop and maintain ConeTec's AI Acceptable Use Policies and supporting standards, in alignment with parent company IT framework</span></li>\n<li><span style=\"font-size: 12pt\">Maintain the AI tool registry and use-case inventory</span></li>\n<li><span style=\"font-size: 12pt\">Monitor usage, surface risks, and report to leadership</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Measure Impact and Report Out</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Define and track metrics for AI adoption, productivity gains, data quality, and governance risks</span></li>\n<li><span style=\"font-size: 12pt\">Prepare reports for the COO, senior leadership, and parent company IT</span></li>\n<li><span style=\"font-size: 12pt\">Use insights to refine the program</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">SKILLS, QUALIFICATIONS AND EXPERIENCE REQUIRED</span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Experience Requirements</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">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</span></li>\n<li><span style=\"font-size: 12pt\">Demonstrated success deploying productivity tools (Microsoft 365 Copilot, Power Platform, or similar) to non-technical users at organizational scale</span></li>\n<li><span style=\"font-size: 12pt\">Hands-on experience designing and operating Azure-based data solutions, including Azure Data Factory, Azure Data Lake, and Azure Functions</span></li>\n<li><span style=\"font-size: 12pt\">Practical experience implementing data governance practices - data quality, classification, lineage, master data - that improved business outcomes</span></li>\n<li><span style=\"font-size: 12pt\">Experience partnering directly with business leaders to identify, prioritize, and deliver technology solutions</span></li>\n<li><span style=\"font-size: 12pt\">Experience operating within a broader corporate or parent-company IT framework is a strong asset</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Technical Skills</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business Technology, or a related field (equivalent experience considered)</span></li>\n<li><span style=\"font-size: 12pt\">Deep familiarity with the Microsoft Azure ecosystem: Azure Data Factory, Azure Data Lake (Gen2), Azure Functions, Azure SQL, Microsoft Entra ID</span></li>\n<li><span style=\"font-size: 12pt\">Strong knowledge of the Microsoft 365 ecosystem: Copilot, SharePoint, Teams, Power BI, Power Automate</span></li>\n<li><span style=\"font-size: 12pt\">Working knowledge of data governance platforms (Microsoft Purview an asset)</span></li>\n<li><span style=\"font-size: 12pt\">Familiarity with AI/ML fundamentals - enough to evaluate tools, write effective prompts, and explain capabilities and limits to colleagues</span></li>\n<li><span style=\"font-size: 12pt\">Microsoft certifications (Azure Data Engineer Associate, Azure AI Engineer, M365 Copilot, Power Platform) considered an asset</span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Soft skill requirements</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Translator - moves easily between technical, business, and non-technical audiences without losing anyone</span></li>\n<li><span style=\"font-size: 12pt\">Strong listener - gets the most out of business partner conversations and uncovers needs people may not articulate at first</span></li>\n<li><span style=\"font-size: 12pt\">Hands-on builder who would rather ship a working pilot than write a strategy deck</span></li>\n<li><span style=\"font-size: 12pt\">Excellent written and verbal communication, particularly for documentation and training</span></li>\n<li><span style=\"font-size: 12pt\">Curious about emerging AI capabilities but disciplined about evaluating them against real business needs</span></li>\n<li><span style=\"font-size: 12pt\">Systems thinker — sees how data, processes, and tools fit together across the organization</span></li>\n<li><span style=\"font-size: 12pt\">Comfortable holding the line on governance without becoming the \"department of no\"</span></li>\n<li><span style=\"font-size: 12pt\">Collaborative — builds strong working relationships with parent company IT, ConeTec leadership, and end users across the business</span></li>\n<li><span style=\"font-size: 12pt\">Willing and able to travel regularly to ConeTec's offices and field sites</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">Why ConeTec</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Opportunity to build and shape ConeTec's AI and data enablement program from the ground up</span></li>\n<li><span style=\"font-size: 12pt\">Direct report to the COO with executive visibility and influence</span></li>\n<li><span style=\"font-size: 12pt\">Backing of a parent company IT framework and a Microsoft 365 / Azure foundation to build on</span></li>\n<li><span style=\"font-size: 12pt\">A chance to see the business by getting out to offices and field sites around the world</span></li>\n<li><span style=\"font-size: 12pt\">A genuine culture that values safety, learning, and continuous improvement</span></li>\n</ul>\n<p><br></p>",
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