Senior Data Applications Manager T500-28284

Talent500 is hiring for one of its clients. Who are we: Core Insurance Platforms (CIP) is Zurichs global capability responsible for building, running, and evolving core insurance technology. We set a unified, scalable operating modelcovering governance, standards, architecture, service delivery, and reuseso our business units can deliver at speed and scale. CIP is the strategic steward of Zurichs Guidewire ecosystem, aligning platform roadmaps to business strategy while driving stability, modernization, reduced supplier dependency, and long term cost efficiency. India delivery center is one of our global delivery and capability hub. We bring together experts in AI, engineering, analysis, quality, and architecture to deliver product & process solutions, application run services, change and transformation initiatives, and centralized platform services across both on prem and Guidewire Cloud environments. Our teams operate from multiple global delivery centers, supporting Zurichs business units worldwide. Our opportunity Data Applications Manager: We are looking for a Data Applications Manager in India to build and lead a focused team with full end-to-end accountability for the operations of data-related applications. The Team Lead combines people management and hands-on technical leadership, with AI-enabled operations at the core: they are expected to personally use AI tools daily and to actively direct the team in applying AI to streamline application management, automate operations, and eliminate repetitive work. This is not an optional skill it is central to how this role delivers value. The right candidate stays ahead of the AI space evaluating new tools, integrating relevant advances, and raising the team's AI capability over time. Your role As a Data Applications Manager, your main responsibilities will involve: Your Skills and Experience As a Data Applications Manager, your skills and experience must include: Nice-to-have: Additional Information Work location is India, Hyderabad, with occasional travel depending on the nature and level of involvement in respective projects. So, if you value an exciting and varied working environment and meet the above requirements, then our recruitment consultant is looking forward to receiving your application. Lead, develop, and grow a team of software engineers focused on L2/L3 application support, automation, and infrastructure as code.Own team performance and delivery set clear expectations, track outcomes, and continuously raise the bar on operational quality and engineering standards.Champion AI tool adoption across the team (Copilot, Claude Code, ChatGPT): establish patterns, share best practices, and set team-level AI utilization targets and track them measure the proportion of operational tasks that are AI-assisted or automated, and drive continuous improvement against that baseline.Act as the primary point of escalation for critical incidents and complex problems provide technical direction and ensure issues are resolved with full accountability.Manage stakeholder relationships across Europe provide regular operational updates, align on priorities, and represent the team's work credibly at senior levels.Drive the team's automation agenda: translate manual operational burden into a structured backlog of automation opportunities, and hold the team accountable for delivering them.Oversee the progressive migration of legacy application operations (DB2, SAS, UiPath, Oracle, MicroStrategy) toward modern, automated, and eventually decommissioned states partnering with European counterparts on roadmap and sequencing.Ensure operational resilience: own monitoring coverage, runbook quality, on-call processes, and continuous stability improvement.Run agile ceremonies and maintain a well-groomed, prioritized backlog aligned with Europe.Champion and build a high-ownership, user-obsessed team culture: model the behaviours you expect follow-through, proactive communication, and relentless focus on reducing recurrence.Foster a culture of experimentation with AI: encourage the team to test new tools, run internal knowledge-sharing sessions, and document effective AI patterns for reuse across the team.3+ years of proven experience leading software engineering or platform operations teams, with direct line management responsibility.Technical credibility: hands-on background in application support, automation (Python), and/or infrastructure able to review work, guide engineers, and contribute to technical decisions.Deep, hands-on AI tool usage Copilot, Claude Code, ChatGPT or equivalent with concrete examples of applying AI to troubleshooting, automation scripting, documentation, and code review. The manager must lead by example, not by instruction alone.Practical knowledge of prompt engineering in technical contexts sufficient to guide engineers on how to get quality output from AI tools for operational tasks.Awareness of the .