Ind Senior Staff Engineer Lead Aiops

IND Senior Staff Software Engineer - GCC020 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. Join our team as we help shape the future. **_Role Overview_** We are seeking a **Senior Delivery Lead – AIOps** to serve as the execution “quarterback” across AIOps initiatives and Security programs. This role focuses on ensuring that emerging ideas—from enterprise AIOps efforts—are consistently translated into production-grade solutions that are operationalized and adopted. You will drive alignment, execution discipline, and follow-through across multiple teams, ensuring that AI-enabled capabilities deliver measurable outcomes in operational reliability, efficiency, and resiliency. **Key Responsibilities** \- Act as the single delivery owner for AI enablement across major CTO programs, ensuring cohesion and momentum across parallel efforts. \- Orchestrate AI-centric delivery using consistent patterns, tooling, and governance to drive repeatable, production-grade execution. \- Translate AIOps capabilities into deployed, operational outcomes—ensuring solutions are embedded into day-to-day operations and adopted. \- Drive cross-functional execution across CTO teams including Infrastructure, Platform, Data, Automation/AI enablement, and Cybersecurity & Security initiatives. \- Establish execution discipline for AI initiatives, including milestones, dependency management, risk, and value realization. \- Operationalize learnings from weekly AIOps sessions into prioritized, funded, and delivered initiatives that scale beyond pilots. \- Ensure AI solutions are production-ready, secure, compliant, and operationally supportable in a regulated, high-reliability environment. \- Identify and remove systemic delivery blockers related to data quality, integration, tooling, or operating model constraints; escalate early to protect outcomes. **How Success Will Be Measured** \- Percentage of AI initiatives successfully deployed into production and adopted by operations. \- Time-to-value from AI initiative approval to measurable operational impact. \- Demonstrated improvement in execution cohesion across parallel AI initiatives. \- Reuse of standardized AI delivery patterns across CTO programs. \- Positive risk, audit, and compliance outcomes for AI-enabled capabilities. **Required Qualifications** \- Proven experience driving complex, cross-functional delivery in large enterprise environments. \- Practical experience applying AI/AIOps in production environments. \- Strong outcome-first mindset and execution discipline. \- Strong systems thinking and understanding of enterprise technology operations. \- Experience managing dependencies, risks, and stakeholder alignment. \- Comfortable operating in regulated, high-reliability environments. **Preferred / Nice to Have** \- Experience partnering across Infrastructure, Platform, Data, and Cybersecurity teams. \- Experience implementing consistent delivery patterns and governance. \- Exposure to IT operations, resiliency, automation, or ITSM modernization. [About Us](https://www.thehartford.com/about-us) | [Our Culture](https://www.thehartford.com/about-us/corporate-culture) | [What It’s Like to Work Here](https://www.thehartford.com/careers/our-employees)