Senior Manager - Data / AI Platform
- LocationIndia - Bangalore
- Work typeOn-site
- EmploymentFull-time
- Posted5 November 2026
- SourceGuidewire's careers page (Workday)
- Last checked2 h ago on Guidewire's careers page
Back from the application? Add your CV and RoleFinder scores your fit for this role, then ranks your best 12 open roles where you want to work, each with a one-line reason.
Check my fitAbout the role
Summary
Guidewire provides outstanding software for the second-largest financial services industry in the world: insurance. We deliver the core applications that Property and Casualty (P/C) insurers use to build their products, sell policies, settle claims, and bill their customers. Through Guidewire Cloud, our SaaS platform, we enable customers to rapidly innovate, scale securely, and drive measurable value.
Guidewire’s Product Development and Operations (PDO) team is hiring a dynamic leader to run cloud-native, big-data services that power the Guidewire Data Platform (GDP). The team works on scalable data ingestion, multi-tenant data platforms, data curation and transformation, federated data access, and platform reliability—helping customers turn InsuranceSuite data into trusted, actionable insights. Based in Bengaluru, India, the team collaborates with engineering, product, and global platform teams to deliver secure, reliable, and self-service data experiences.
As a Senior Manager – Data/ AI Platform,Deliver scalable, secure, and reliable Data and AI/ML services that enable mission-critical P&C insurance workloads.
Translate real customer use cases into clear product requirements and measurable outcomes.
Raise the bar on engineering excellence, team performance, and cross-functional execution.
Strengthen Guidewire’s voice in the market through thought leadership and community engagement. You’ll build high-performing teams, drive product outcomes, and champion a customer-first mindset across engineering and cross-functional partners.
Job Description
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 your teams.
- Provide hands-on technical leadership- Work closely with engineers on complex technical problems, architectural decisions, design reviews, and implementation trade-offs. Help resolve technical roadblocks, challenge proposed solutions, and guide teams toward scalable, reliable, secure, and maintainable designs. Remain technically engaged without becoming a bottleneck for implementation.
- Identify and enable data monetization opportunities, turning platform capabilities into
- customer-facing, revenue-generating products.
- Partner with product management and engineering leadership to set and deliver quarterly
- and annual goals, framing problems and defining success metrics.
- Orchestrate cross-functional collaboration across PM, Architecture, SRE/SecOps, Support,
- and Field Engineering to land features on time and with quality.
- Lead through ambiguity with iterative development: lean discovery, rapid prototyping, A/B
- and canary rollouts, and telemetry-driven iteration, pivoting quickly on customer feedback.
- Run a rigorous performance management cadence: goals, 1:1s, growth plans, competency
- rubrics, feedback loops, and fair evaluations.
- Champion engineering best practices: API-first design, SDD, IaC/MLOps, observability,
- chaos/resilience testing, and data governance.
- Stay close to engineering- Maintain the technical depth to engage in code and design reviews, understand implementation details, evaluate technical trade-offs, and provide actionable guidance when teams encounter complex engineering challenges.
- Manage execution risk: roadmap and quarterly planning, dependency management, incident postmortems, and proactive risk mitigation.
- Serve as an external evangelist: speak at conferences, panels, and meetups; publish blogs and whitepapers; and partner with Marketing/Comms to strengthen the Guidewire brand.
What you’ll bring
- 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 (throughput,
- latency, cost), with a track record of production ownership.
- Hands-on experience building and operating SaaS products, and delivering Gen AI solutions
- in production (e.g., LLM-based features, MCP servers, RAG, or agentic workflows).
- Significant experience leading software engineering teams, including hiring, performance management, coaching, and career development. Demonstrated prior experience managing a team of approximately 15 or more engineers, with the ability to balance people leadership with active technical engagement and accountability for engineering outcomes.
- Proven experience leading a Data/ AI Platform Engineering team, with accountability for technical direction, architecture, engineering execution, reliability, scalability, and developer experience.
- Experience with data monetization—packaging data and platform capabilities into products
- that drive measurable business value.
- Strength in product thinking: framing problems, defining success metrics, and shipping
- iteratively toward outcomes.
- Excellent cross-functional leadership and stakeholder management, with clear written and
- verbal communication.
- Excellent written and verbal communication skills, with the ability to influence through technical judgment, engineering credibility, and effective collaboration with engineers, technical leaders, cross-functional peers, and senior stakeholders.
- A calm, pragmatic, outcome-oriented leadership style under pressure, with sound technical judgment, a strong bias for action, and the ability to resolve complex problems while balancing immediate needs with long-term engineering improvements.
- A people leader who coaches for impact, sets high standards, and gives actionable feedback.
- Nice to have: Insurance domain, Analytics/ML pipelines, and data privacy/compliance
- experience.
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at accommodations-gw@employ-ability.org.uk, our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.
Are you a fit for this role?
Add your CV and RoleFinder scores your fit for Senior Manager - Data / AI Platform first, with a one-line reason. Then it ranks the open roles where you want to work, plus remote ones, shows your best 12, and emails you new matches once a week. The file is read once by AI and not kept; employers never see it.
Sign in with Google or email to start. How we handle your CV