AVP, Software Engineering, Employee Benefits

The Hartford•Columbus, OH

1d•$182,000 - $273,000•Hybrid

About The Position

The Hartford's Employee Benefits organization is looking for a dynamic and forward-thinking IT leader to drive transformational investments and modernization of core policy, billing, as well as the digital experience supporting employers. Reporting to the CIO of Employer Benefits Technology, this position will be accountable for end-to-end ownership of critical technology roadmap priorities for a critical part of The Hartford’s $6B Employee Benefits business. This senior leadership role will lead the Employer Experience technology strategy and roadmap, driving delivery of critical business capabilities through agile engineering practices. The role is accountable for technology execution, engineering excellence, and the continued advancement of agile ways of working and adoption of AI to improve productivity, code quality, and improved business outcomes. The ideal candidate will possess a blend of solid software engineering expertise, people leadership, executive presence, and a passion for leading teams through transformation.

Requirements

12+ years of experience in technical software solution development and engineering leadership.
Employee Benefits and/or insurance industry experience preferred but not required.
Hands on experience leading complex portfolios through transformation such as digital or large platforms replacement.
Demonstrated engineering track record of sustainable technical solution design with a focus on driving productivity, efficiency, and innovation.
Experience leading legacy to modern application transitions, including migration of applications to cloud and continued technical innovation in the cloud.
Experienced people leader with the ability to build and develop future-ready technology talent, fostering a culture of engineering excellence, accountability, innovation, and growth.
Excellent communicator who can effectively translate technology concepts into business language and adjust as needed to target audience.
Strategic thinker, problem solver and collaborator with the ability to engage executive level leaders across organizational boundaries to influence decisions and drive results.
Global experience with onshore and offshore teams (US and India) and managing vendor resource strategy.
Comfortable in a fast-paced environment, with the ability to effectively prioritize competing priorities and deadlines.
Passion for learning, excellent customer focus with a positive attitude.

Responsibilities

Accountable for the end-to-end technology strategy, execution, and continuous transformation of Group Benefits engineering, embedding AI-first practices across product delivery, software development, operations, and decision-making.
Accountable for the end-to-end technology strategy, delivery, and continuous modernization of the Employer Experience value stream
Partner with business and product leaders to define and execute a technology and AI roadmap that aligns with business priorities and enhances employer experience
Lead adoption of AI-first engineering practices, leveraging AI-assisted development, testing, automation, and operations to improve productivity, quality, and speed to market.
Drive scalable, cloud-native, and API-driven technology solutions in partnership with Enterprise and Solution Architecture teams.
Ensure data, analytics, and AI capabilities are aligned to business objectives, enabling trusted insights and intelligent business processes.
Establish modern engineering and DevSecOps practices that improve reliability, security, resilience, and developer experience.
Use outcome-based metrics and engineering productivity measures to provide transparency, predictability, and continuous improvement
Build and lead high-performing engineering teams through strategic workforce planning, effective organization design, AI-enabled skill transformation, and focused talent development.
Champion a culture of engineering excellence, innovation, customer focus, and responsible AI adoption.
Continuously evaluate emerging AI and technology trends, translating them into practical capabilities that deliver measurable business value
Continuous learning mindset to keep in touch with advances in AI, helping to translate emerging capabilities into practical business and technology outcomes.