• Work with project team to understand the migration activities, prepare the migration strategy and migration plan. • Review and build migration templates and train the business user to fill the data in the templates. • Assist the business team in extracting master and transaction data, preparing upload files, and ensuring all required data is accurately captured for a successful data migration. • Participate in end-to-end SAP implementation projects, covering critical phase supporting business for the data migration and go-live. • Lead and review data migration to ensure Procurement to Pay, Inventory Management, Master data management, Stock Transport Order, Forecast to stock and integration with other modules. • Support migration and validation of forecast/PIR data, MRP parameters, material master planning views, and stock balances. • Establish strong credibility and trusted-advisor relationships with client stakeholders at all levels • Reviewing Functional Requirement Specifications (FRS), High-Level Solution Designs, and Detailed Design Documents • Provide migration guidance and oversee solution quality across one or multiple projects • Leverage technical understanding and debugging knowledge to support issue resolution and complex integrations • Collaborate effectively with distributed and remote teams across different geographies • Research, analyze, and resolve complex issues under tight timelines and project pressures.

• Oversee the planning and execution of software and applications • Manage an internal team and partner with external suppliers • Support programs to implement regional and global software and application strategies • Offer input to financial planning and controls for software and applications • Collaborate with management and follow-up on requisitions, purchase orders, invoices, and payments • Ensure that support service level objectives and key performance indicators are accomplished

• Design, implement, and operate hybrid enterprise infrastructure across on‑premises datacenters, Azure, and AWS. • Lead consolidation and rationalization of infrastructure platforms, tools, and cloud subscriptions to reduce complexity, risk, and total cost of ownership. • Build and operate Azure and AWS environments aligned with Well‑Architected Frameworks and industry best practices. • Establish and operate observability and reliability practices, including logging, monitoring, alerting, SLOs, and error budgets. • Define and contribute to multi‑year infrastructure roadmaps, architecture standards, and reusable design patterns. • Lead infrastructure automation using Terraform, Bicep/CloudFormation, CI/CD pipelines, and configuration management (Ansible, PowerShell DSC). • Embed Zero Trust security principles across hybrid environments, including least privilege, segmentation, and secure connectivity. • Partner with security teams on risk mitigation, vulnerability management, and incident response. • Ensure business continuity and disaster recovery readiness through documented runbooks, regular testing, and RTO/RPO compliance. • Own infrastructure lifecycle management including provisioning, updates, hardware refresh coordination, incidents, and change management. • Drive cost optimization, capacity planning, usage forecasting, and foundational financial governance across infrastructure platforms. • Provide technical leadership to a small team through mentoring and identifying opportunities for professional growth.

• Build and evolve data processing systems: Design and implement ETL pipelines that collect, transform, and deliver data from multiple sources (including agency portals) into usable product features. • Turn data into insights: Translate raw insurance and agency data into meaningful metrics such as sales performance, inquiry volumes, geographic activity, and product distribution. • Integrate and work with multiple data sources: Build and maintain integrations with external systems and ensure data consistency and reliability across pipelines. • Collaborate in a fast-changing environment: Work closely with product in a highly iterative setup with no fixed long-term roadmap. • Ensure engineering quality: Write clean, maintainable code with a strong focus on testing culture. • Leverage modern tooling and AI: Use AI tools as part of the development process, treating them as an active part of the workflow