Development Team Lead

The Development Team Lead leads a team of software engineers building and maintaining Xactimate Desktop, a large, mature C#/.NET and WPF application. Reporting to the Software Development Manager, the Team Lead spends most of their time setting direction, developing people, removing obstacles, and ensuring the team delivers high-quality software predictably. They remain hands-on for roughly a third of their time, which keeps their technical judgment sharp and lets them model the practices they expect of the team.

A central part of this role is leading the team’s adoption of AI-assisted development. The Team Lead champions practical, everyday use of AI coding tools, builds the habits and guardrails that make those tools effective on a large legacy codebase, and measures their impact on productivity and quality. Success requires strong technical depth, clear communication, and the ability to bring a team along through change.

Responsibilities

People Leadership

• Lead, coach, and develop a team of software engineers through regular one-on-ones, clear expectations, and timely, actionable feedback.
• Set individual and team goals, track progress with meaningful measures, and address performance concerns early and directly.
• Hire engineers who raise the team’s capability by screening, interviewing, and making selection recommendations.
• Build a team culture of ownership, trust, and continuous learning.

AI Adoption & Productivity

• Lead the team’s adoption of AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar), moving the team from occasional use to consistent, effective daily practice.
• Establish and refine AI-assisted workflows across the development lifecycle, including specification, design, implementation, code review, testing, and documentation.
• Apply AI tooling to the specific challenges of a large legacy codebase: understanding unfamiliar code, expanding test coverage, refactoring safely, and accelerating modernization.
• Define guardrails for responsible use, including review expectations for AI-generated changes, security and data-handling practices, and quality standards.
• Measure the impact of AI tooling on throughput, cycle time, and quality, and share results and lessons learned with other teams and leadership.
• Coach engineers individually on effective AI use and spread techniques that work across the team.

Technical Leadership

• Own code quality and adherence to department engineering standards for the team; review pull requests and ensure changes meet team standards.
• Partner with principal engineers on architecture and technical direction so the team’s designs align with the broader product architecture.
• Oversee technical planning so work is well understood, feasible, and appropriately sized before it begins.
• Contribute hands-on (roughly 30% of time) through coding, code review, prototyping, and pairing, modeling best practices in testing and documentation.

Delivery & Execution

• Ensure the team meets its commitments and delivers high-quality software against agreed timelines and objectives.
• Plan and prioritize work collaboratively with Product Management, negotiating trade-offs among scope, quality, and schedule.
• Facilitate or participate in agile ceremonies (planning, stand-ups, reviews, retrospectives) and take part in the on-call rotation as required.
• Surface delivery risks early and communicate them clearly, along with options for addressing them.

Collaboration & Communication

• Partner with the Software Development Manager and cross-functional leaders in Product, QA, and UX to improve processes and outcomes.
• Coordinate cross-team engineering efforts, including shared architectural decisions, dependencies, and releases.
• Engage with customers and internal stakeholders to gather feedback, communicate progress, and apply root-cause analysis to improve products and processes.
• Present information clearly and credibly to both technical and non-technical audiences.

Continuous Improvement

• Identify and implement improvements to engineering workflows and agile practices.
• Maintain accurate, current documentation of the team’s systems, practices, and decisions.
• Stay current with evolving development tools and techniques, especially in AI-assisted engineering, and promote continuous learning on the team.

Qualifications

Required Qualifications

• 5+ years of professional software development experience with deep, hands-on technical proficiency.
• Demonstrated ability (or strong aptitude) to lead software engineers, whether as a team lead or as a senior or technical lead who guided others’ work.
• Strong experience with C#/.NET, and experience with WPF and MVVM or comparable desktop UI frameworks.
• Familiarity with CI/CD tooling such as TeamCity.
• A track record of delivering high-quality software on schedule while upholding engineering standards.
• Fluency with agile methods (Scrum or Kanban) and iterative, incremental delivery.
• Excellent written, verbal, and interpersonal communication skills.
• Strong planning and organizational skills, with the ability to work independently and drive outcomes.
• A product- and user-centered mindset in engineering decisions.
• Coachability, openness to feedback, and a record of reliability.
• Genuine curiosity about AI-assisted development and a willingness to lead others through changes in how they work.

Preferred Qualifications

• Hands-on experience using AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor) in professional development work.
• Experience introducing new tools or practices to a team and measuring their impact on productivity or quality.
• Experience working in a large, long-lived codebase, including refactoring, improving test coverage, or modernization efforts.
• Experience collaborating with distributed teams across time zones.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.

#LI-LM03
#LI-Hybrid

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property and Restoration Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk Employee Privacy Notice