Manager IT

Markel Corporation; Richmond (VA); On-site; USD 109,000 - 227,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with employer match

Employee Stock Purchase Plan

Job summary

Markel Corporation in the United States (Richmond, VA) seeks an experienced Senior Data Engineering Manager to lead multiple teams. You will guide design, build, and delivery of data platform components using Databricks within a medallion architecture across Raw, Refined, and Presentation layers.

The role requires 8–10 years in data engineering or related fields, strong leadership, and hands-on Databricks experience. Insurance industry background is a plus; remote work options are not specified.

Qualifications

• 8–10 years of software development, data engineering, or project delivery.
• Experience with agile software development methodologies.
• Hands-on Databricks experience.
• Experience with medallion architecture (Raw, Refined, Presentation).
• Practical experience applying AI/ML within data platforms.
• Knowledge of ETL tools and best practices.
• Experience managing multiple teams is preferred.
• Coaching and mentoring to staff.

Responsibilities

• Contributes to strategic, operational, and divisional goals as a management team member.
• Tracks team delivery, provides updates, and flags deviations affecting delivery.
• Plans performance appraisals and handles disciplinary actions.
• Drives discussions on raises, bonuses, and promotions within the team.
• Oversees recruitment, development, retention, and organization of staff including offshore resources.
• Defines team operating standards and ensures adherence to procedures.
• Trains, coaches, and mentors team members.
• Measures team health indicators and prioritizes milestones and deliverables.
• Reports key metrics to senior management and represents the Data Engineering teams to stakeholders.

Skills

Team leadership

Data engineering

Databricks

Medallion architecture

AI / ML in data

ETL best practices

Agile methodologies

Performance management

Communication

Mentoring

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Databricks

Job description

What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs. Join us and play your part in something special! 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.

Work Experience

• 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.

Skillset

• 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.

Education

• Bachelor's degree in Computer Science, Information Systems, other related field, or equivalent work experience, including military experience.

US Work Authorization

• US Work Authorization required.
• Markel does not provide visa sponsorship for this position, now or in the future.

Pay information

• The salary range for this position is $108,800 - $226,800. The posted salary range reflects the lowest and highest base salary applicable to this role across our U.S. locations. Individual offers are determined based on geographic location, experience, qualifications, internal equity, and other job-related factors. As a result, the salary offered for a specific location will fall within a narrower range than the overall range displayed in this posting. This position may also be eligible to participate in the Company's annual incentive plan.

Who we are

Markel Group (NYSE - MKL) a fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.

What’s in it for you

• In keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work.
• We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees’ needs at all stages of life.
• All full-time employees have the option to select from multiple health, dental and vision insurance plan options and optional life, disability, and AD&D insurance.
• We also offer a 401(k) with employer match contributions, an Employee Stock Purchase Plan, PTO, corporate holidays and floating holidays, parental leave.

Equal Opportunity and Diversity

• Markel is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of any protected characteristic. This includes race; color; sex; religion; creed; national origin or place of birth; ancestry; age; disability; affectional or sexual orientation; gender expression or identity; genetic information, sickle cell trait, or atypical hereditary cellular or blood trait; refusal to submit to genetic tests or make genetic test results available; medical condition; citizenship status; pregnancy, childbirth, or related medical conditions; marital status, civil union status, domestic partnership status, familial status, or family responsibilities; military or veteran status, including unfavorable discharge from military service; personal appearance, height, or weight; matriculation or political affiliation; expunged juvenile records; arrest and court records where prohibited by applicable law; status as a victim of domestic or sexual violence; public assistance status; order of protection status; status as a smoker or nonsmoker; membership or activity in local commissions; the use or nonuse of lawful products off employer premises during non-work hours; declining to attend meetings or participate in communications about religious or political matters; or any other classification protected by applicable law.
• Should you require any accommodation through the application process, please send an e-mail to the [e-mail].