Senior Engineering Manager, Data Platform

Overview

Guidewire’s Product Development and Operations team is hiring a Senior Engineering Manager to run cloud-native, big-data services that power the Guidewire Data Platform. The role leads teams, drives product outcomes, and delivers secure, scalable, reliable Data and AI/ML services for mission-critical P&C insurance workloads.

What you'll do

• Lead and grow multiple pods that architect and deliver cloud-native Data Platform services on AWS and Kubernetes, using modern data streaming stacks and a Data Mesh architecture.
• Drive the design and delivery of Gen AI solutions, including MCP servers and agentic services, and build AI-native proficiency across teams.
• Identify and enable data monetization opportunities by turning platform capabilities into customer-facing, revenue-generating products.
• Partner with product management and engineering leadership to set and deliver quarterly and annual goals, frame problems, and define success metrics.
• Orchestrate cross-functional collaboration across PM, Architecture, SRE/SecOps, Support, and Field Engineering to deliver features on time and with quality.
• Lead through ambiguity with lean discovery, rapid prototyping, A/B and canary rollouts, and telemetry-driven iteration based on customer feedback.
• Run a performance management cadence covering goals, 1:1s, growth plans, competency rubrics, feedback loops, and fair evaluations.
• Champion API-first design, SDD, IaC/MLOps, observability, chaos/resilience testing, and data governance.
• Manage execution risk through roadmap and quarterly planning, dependency management, incident postmortems, and proactive risk mitigation.
• Speak at conferences, panels, and meetups; publish blogs and whitepapers; and partner with Marketing/Comms to strengthen the Guidewire brand.

What you'll need

• 16+ years in software engineering with 4+ years managing managers or multi-pod teams building cloud/data platforms.
• Proven delivery of enterprise-scale, cloud-native data platform services at scale across throughput, latency, and cost, with a track record of production ownership.
• Hands-on experience building and operating SaaS products.
• Experience delivering Gen AI solutions in production, such as LLM-based features, MCP servers, RAG, or agentic workflows.
• Experience with data monetization, packaging data and platform capabilities into products that drive measurable business value.
• Strength in product thinking, including framing problems, defining success metrics, and shipping iteratively toward outcomes.
• Excellent cross-functional leadership and stakeholder management, with clear written and verbal communication.
• People leadership experience with coaching for impact, setting high standards, and giving actionable feedback.

Nice to have

• Insurance domain experience.
• Analytics/ML pipelines experience.
• Data privacy/compliance experience.

Details

• Location: Bangalore, India.