Job Purpose Provide leadership for sales operations by defining market segments, setting and cascading targets, and driving overarching strategies for lead generation, stakeholder engagement, and continuous improvement. Key Responsibilities Develop and implement sales strategies and value proposition for the organisation Lead sales planning and business development for EB and Non-EB related products across the region. Generate quality leads through networking and industry connections to procure business and generate revenue. Support the team in placing policies by guiding them through the RFQ process and ensuring smooth policy issuance. Strategize key stakeholder engagement to strengthen relationships, influence business outcomes, and ensure service excellence across clients, insurers, TPAs, and regulatory bodies. Collaborate with placement, servicing, and claims teams to ensure smooth execution from lead to policy placement. Monitor sales performance and key metrics (e.g., conversion rates, policy placement) to identify opportunities for growth and improvement in the region Lead and motivate the sales team, setting clear targets and offering support in negotiations and deal closures. Job Specifications Knowledge and Experience (EB and Non-EB): 1518 years of experience in areas of Sales and Business Development, with at least 5–7 years in a leadership role within the Insurance and Reinsurance broking business. Experience in leading geographically dispersed sales teams and managing multi-location operations. Strong knowledge and expertise in insurance products Adept in using CRM or ERP-based sales systems Key Competencies: Proven ability to drive B2B sales in a target-driven environment. Go-getter attitude & communication skills with an ability to communicate the value proposition effectively across varied customer segments Solution-oriented mindset with high-impact negotiation and relationship management abilities. Excellent leadership, interpersonal and team management skills Education and Certifications: Bachelor’s degree in business administration, Marketing or Finance (mandatory). MBA/PGDM in Insurance/Sales & Marketing (preferred). BQP -IRDAI certification (mandatory); any other certifications (from NIA, III, IIRM etc.) (preferred)

Scope of Work: Collaborate with the lead Business / Data Analyst to gather and analyse business requirements for data processing and reporting solutions. Maintain and run existing Python code, ensuring smooth execution and troubleshooting any issues that arise. Develop new features and enhancements for data processing, ingestion, transformation, and report building. Implement best coding practices to improve code quality, maintainability, and efficiency. Work within Microsoft Fabric to manage data integration, warehousing, and analytics, ensuring optimal performance and reliability. Support and maintain CI/CD workflows using Git-based deployments or other automated deployment tools, preferably in Fabric. Develop complex business rules and logic in Python to meet functional specifications and reporting needs. Participate in an agile development environment, providing feedback, iterating on improvements, and supporting continuous integration and delivery processes. Requirements: This person will be an individual contributor responsible for programming, maintenance support, and troubleshooting tasks related to data movement, processing, ingestion, transformation, and report building. Advanced-level Python developer. Moderate-level experience in working in Microsoft Fabric environment (at least one and preferably two or more client projects in Fabric). Well-versed with understanding of modelling, databases, data warehousing, data integration, and technical elements of business intelligence technologies. Ability to understand business requirements and translate them into functional specifications for reporting applications. Experience in GIT-based deployments or other CI/CD workflow options, preferably in Fabric. Strong verbal and written communication skills. Ability to perform in an agile environment where continual development is prioritized. Working experience in the financial industry domain and familiarity with financial accounting terms and statements like general ledger, balance sheet, and profit & loss statements would be a plus. Ability to create Power BI dashboards, KPI scorecards, and visual reports would be a plus. Degree in Computer Science or Information Systems, along with a good understanding of financial terms or working experience in banking/financial institutions, is preferred.

Role Summary: We are looking for a dynamic and experienced Solution Architect RPA & Intelligent Automation to lead automation-driven digital transformation initiatives. The ideal candidate will have deep hands-on experience with RPA platforms like Power Automate, UiPath, Automation Anywhere , along with a working understanding of data architecture to design intelligent, end-to-end process automation solutions. You will be responsible for defining the automation architecture, overseeing bot design and orchestration, and driving adoption of intelligent technologies like AI-OCR. Process Automation tools and Data Management across enterprise systems. Key Responsibilities: Automation & RPA Architecture Lead the architecture, design, and implementation of enterprise-wide automation solutions using Automation Anywhere (preferred) or equivalent RPA platforms. Design reusable bots, components, and templates for scalable automation across departments like Finance, HR, Supply Chain, and Customer Support. Define automation standards, best practices, and frameworks including BOT lifecycle management and exception handling . AI & Intelligent Document Processing Architect solutions that leverage AI-OCR , document classification , entity extraction , and LLMs to automate unstructured document workflows (e.g., invoices, forms, contracts). Integrate OCR tools (e.g., ABBYY, Tesseract, or Automation Anywhere IQ Bot) with RPA to deliver end-to-end document automation. Process Mining & Optimization Utilize process mining and task mining tools to identify automation opportunities and baseline performance metrics. Collaborate with business stakeholders to re-engineer processes for maximum automation ROI. Integration & Orchestration Design secure, scalable integrations between RPA bots and enterprise applications (ERP, CRM, custom systems) via APIs, Front-end or file-based methods. Implement orchestration strategies for attended, unattended, and hybrid bots , including version control and scheduling. Data Awareness & Automation Collaborate with data engineering teams to ensure RPA and automation platforms can integrate effectively with data lakes and BI tools. Leverage structured and semi-structured data from platforms like Cloudera or Azure Data Lake for enhanced automation logic and analytics. Required Experience & Skills: 8–12 years in IT, with 5+ years in RPA and Intelligent Automation , and at least 2 years in an architecture role. Proven hands-on experience with Automation Anywhere (A360) including bot development, control room setup, and IQ Bot/Document Automation. Exposure to AI technologies including OCR, NLP, and LLMs (OpenAI, Azure Cognitive Services, Google AI). Experience in implementing end-to-end automation across business functions — preferably as part of a Digital Transformation initiative. Strong understanding of process design, business rules, workflow optimization, and exception handling. Ability to lead cross-functional automation teams and manage vendor relationships. Good to Have (Not Mandatory): Knowledge of Cloudera, Snowflake, or Azure Data Lake for data handling within automation workflows. Familiarity with Python , SQL , API/Webhooks , or basic scripting to support advanced automation logic. Experience with cloud-native RPA deployments and DevOps automation pipelines. Certifications: o Automation Anywhere Certified Master Architect AI/ML or OCR-related certifications Cloud certifications (AWS, Azure, GCP) are a bonus Soft Skills: Strategic mindset with hands-on delivery capabilities Strong communication and stakeholder engagement Detail-oriented with the ability to simplify complex solutions for business users Leadership experience in cross-functional teams