AVP, End User Engineering & Reliability

AVP IT Engineering - IE05AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. The Hartford is accelerating toward AI‑first engineering, and End User Services needs a leader to drive that shift across the platforms our employees rely on every day. Key Responsibilities Set the engineering and reliability strategy for collaboration, digital workspace, and the platforms connecting them; translate it into a multi‑year roadmap aligned to the CTO’s AI‑first engineering direction. Set and own the engineering organization’s OKRs—translating collaboration, workspace, reliability, and AI‑first strategy into clear Objectives and measurable Key Results, aligned to CTO‑level OKRs. Operationalize Reliability Engineering across owned platforms—SLOs, incident standards, RE Squad integration, and run‑operations‑to‑RE alignment—consistent with the firm’s RE operating model. Drive an AI‑first, automation‑first engineering culture—AI‑first SDLC standards, infrastructure‑as‑code, automated and agentic remediation, release pipelines, and systematic elimination of manual toil. Build end‑to‑end observability and digital employee experience monitoring; make platform and experience health visible, predictive, and tied to business impact. Lead, grow, and modernize a team of engineering directors and their organizations—raising the bar on technical depth, AI‑first engineering practice, and reliability ownership. Partner with security, identity, networking, infrastructure, and the Reliability Engineering community to deliver resilient, compliant, performant employee technology. Own vendor and platform relationships from a position of engineering strength; ensure roadmaps, SLAs, and integrations meet reliability and experience standards. Define and report the Key Results that matter—availability and reliability (SLOs/SLIs, error budgets), AI‑first adoption, digital employee experience, and toil/automation ratios—and review progress against OKRs with executive leadership on a regular cadence. Required Knowledge AI‑first engineering (central to this role): Proven leadership applying AI‑first and AI‑assisted engineering at scale—embedding generative AI, agentic automation, and AI‑driven standards into how platforms are designed, built, and operated. Microsoft 365 ecosystem: Deep, current command of the collaboration and digital workspace estate (Teams, endpoint management, virtual desktop, etc.). Reliability / site reliability engineering: A track record in observability, and modern incident management. Outcome‑based leadership: Fluency leading teams through OKR‑based goal setting and outcome measurement. Preferred Knowledge Intune; Windows365 or Azure Virtual Desktop/Citrix; Observability platforms (Nexthink, Dynatrace, Splunk); Terraform/Ansible; PowerShell/Python; Microsoft365, including Power Platform, and Microsoft Copilot. Required Qualifications 12+ years in technology engineering and operations, including 5+ years leading multi‑team engineering organizations (managing managers/directors). Proven record driving an AI‑first or AI‑assisted engineering transformation at scale—embedding AI and automation into how engineering teams build and operate. A track record building or transforming a reliability engineering practice—SLOs, incident management, and measurable toil reduction. Deep engineering background in collaboration and/or digital workspace platforms (Microsoft365/Teams, voice, endpoint/EUC, virtual desktop, productivity tooling). Hands‑on credibility with automation and observability tooling. Experience shifting an organization from operations‑led to engineering‑led delivery, including vendor and managed‑service environments. Experience leading through OKRs and outcome‑based goal setting. Enterprise‑scale experience in a regulated industry (financial services/insurance preferred). Based in or able to work in the greater Hartford, CT area on a hybrid schedule (three days per week in office). Preferred Qualifications Familiarity with agentic operations / agentic Reliability Engineering and applying AI to operational decision‑making. Experience standing up Digital Employee Experience (DEX) measurement and using it to drive investment. Background in product‑management practices applied to internal platforms. Familiarity with chaos/resilience engineering and large‑scale capacity planning. Leadership Competencies: Engineering depth paired with executive presence, credible with both engineers and the C‑suite; builds high‑performing, AI‑first engineering cultures and raises talent bars. Operates through OKRs and outcome‑based goal‑setting—sets ambitious objectives, holds the team to measurable results, and adjusts based on data. Bias toward automation, measurement, and accountability over manual effort and escalation. Comfortable driving change through established teams and entrenched operating models. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition. The annualized base pay range for this role is: $177,600 – $266,400 . Equal Opportunity Employer Sex / Race / Color / Veterans / Disability / Sexual Orientation / Gender Identity or Expression / Religion / Age. #J-18808-Ljbffr The Hartford