Manager IT

Markel • Richmond, VA

7d • Remote

About The Position

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. Responsibilities 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.

Requirements

• 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.
• Providing coaching and mentoring to team members.
• Capable of balancing immediate operational needs while making progress towards long-term engineering goals.
• 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.
• US Work Authorization required.
• Markel does not provide visa sponsorship for this position, now or in the future.

Nice To Haves

• Experience managing multiple teams strongly preferred.
• Insurance industry background nice to have.

Responsibilities

• 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.

Benefits

• Multiple health, dental and vision insurance plan options
• Optional life, disability, and AD&D insurance
• 401(k) with employer match contributions
• Employee Stock Purchase Plan
• PTO
• Corporate holidays
• Floating holidays
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager