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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager IT - **Company:** Markel Corporation - **Location:** Richmond, VA, United States - **Experience:** Expert - **Salary:** $108,800.0 - $226,800.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Agile Methodology, Artificial Intelligence, Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Machine Learning, Software Engineering, Information Technology, Databricks - **Published:** September 16, 2026 - **Apply:** https://markelcorp.wd5.myworkdayjobs.com/GlobalCareers/job/Richmond-VA/Manager-IT_R0023874 ## About the Role * 8 to 10 years of software development, infrastructure, or project delivery experience, including data engineering or data platform work. * Experience with agile software development methodologies. * Hands-on experience with Databricks. * Experience implementing or working within a medallion architecture (Raw, Refined, Presentation layers). * Practical experience applying AI or machine learning technologies within a data engineering or data platform context. * Knowledge of ETL tools and best practices in design. * Experience managing multiple teams strongly preferred. * Providing coaching and mentoring to team members. * Capable of balancing immediate operational needs while making progress towards long-term engineering goals. * Insurance industry background nice to have., * Strong knowledge of technologies and methodologies related to assigned business unit/area. * Skilled in organizing resources and establishing priorities. * Strong analytical and problem solving skills. * Ability to successfully gather technical information and transform into clear and concise communication material. * Strong desire for continuous improvement. * Ability to effectively lead, coach, and develop staff across multiple teams. * Excellent communication, negotiation, and presentation skills. Ability to interact with all levels of Markel's internal and external business partners. * Ability to manage and prioritize multiple projects, attention to detail, sensitivity to time management and deadlines. * Displays confidence when working with and convincing all levels of employees. * Ability to lead effectively in a busy, fast-paced environment with shifting priorities. * Working knowledge of AI and machine learning tools and techniques, and the ability to apply them to data engineering and data platform problems., * Bachelor's degree in Computer Science, Information Systems, other related field, or equivalent work experience, including military experience. ## Description This position will be responsible for managing a team of IT employees possessing varied experience levels. This position participates in the planning and managing of activities within the assigned business unit/area., * Contributes to strategic, operational, and divisional goals as a member of the management team. * Tracks team delivery, provides project update/information, and informs management of any deviations which may impact the delivery. * Plans and conducts performance appraisals for employees, and administers disciplinary action. * Initiates discussions around raises, bonuses, and promotions within team. * Involved with recruitment, development, retention, and organization of all managed staff in accordance with corporate budgetary and policy requirements, including offshore resources. * Defines team operating standards and ensures essential procedures are followed at all times. * Trains, coaches, and mentors employees on the team. * Identify and measure team health indicators. * Ensure proper team focus on priorities, milestones, and deliverables. * Responsible for tracking and reporting key metrics and status updates to senior management. * Represent the Data Engineering team(s) to stakeholders, customers, and internal delivery teams. * Lead the design, build, and delivery of data platform components using Databricks and a medallion architecture across Raw, Refined, and Presentation layers. * Manage one or more teams as assigned, balancing workload and priorities across teams. * Occasionally required to work late evenings and weekends as needed. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)