The Senior FP&A Business Intelligence Analyst serves as a critical bridge between Finance, Operations, and IT by designing, developing, and maintaining data, reporting, analytics, and automation solutions that support business decision-making across the organization.
Responsibilities
Build and maintain enterprise datasets, semantic models, dashboards, and reporting solutions.
Develop Power BI and Microsoft Fabric solutions, including semantic models, reporting, and self-service analytics capabilities.
Design and maintain analytical, forecasting, and decision-support models using SQL, Python, and other modern technologies.
Partner with business and technology teams to translate requirements into actionable data and reporting solutions.
Ensure data quality through validation, reconciliation, and monitoring processes.
Requirements
Bachelor’s degree or equivalent experience in Business Intelligence
Lead automation engineering for insurance broking platform, building and owning frameworks in Python/Java, integrating with CI/CD, and transitioning to developer role.
Responsibilities
Design, build, and own automation frameworks from scratch
Lead the design, development, and deployment of agentic AI solutions on Genpact’s IPS insurance broking platform, building end‑to‑end features using Python and Microsoft’s Agent Framework.
Responsibilities
Build and maintain agents within the Microsoft Agent Framework multi‑agent pipeline
Write Python services (FastAPI) for the backend of the agentic platform
Integrate Azure AI services (OpenAI, AI Foundry, AI Content Understanding, AI Translator, AI Search)
Implement rules engine logic for insurance broking workflows
Design, build, and optimize enterprise-scale AI platform infrastructure, ensuring scalability, security, performance, and automation across Kubernetes-based environments.
Responsibilities
Provides subject matter expertise and consulting services on a range of technologies and assists Technical Analysts and Infrastructure Engineers to ensure that technology solutions comply with enterprise system design and engineering standards
Assists with translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
Assists in the evaluation of reference models, blueprints and playbooks to ensure they are fit for purpose
Develop software solutions to address manual and repeatable work or inefficient processes
Conducts on-site evaluations of third-party products being considered for firm adoption
Requirements
Bachelor’s degree or equivalent work experience
Nice to have: Kubernetes certifications (CKA, CKAD)
Nice to have: Copilot Studio
Nice to have: AI/ML frameworks (PyTorch, TensorFlow, Triton, vLLM)
Build and maintain the company’s data governance framework, ensuring data quality, standardization, and reliability across business units.
Responsibilities
Utilize data governance tools such as DataHub or Collibra to scan and manage metadata from databases (e.g., MySQL) and build an enterprise-level data catalog.
Define and implement automated data quality rules using data quality tools to ensure the reliability and availability of core data.
Design, implement, and validate tracking strategies (using tools like Sensors Data, GrowingIO, or in-house systems) across business modules to ensure that tracking data is accurate and traceable.
Participate in creating and promoting database design standards (naming conventions, indexes, comments, table structures, etc.) to improve development consistency.
Classify business databases, label primary/replica/sensitive tables, and establish a Master Data (Golden Source) system.
Requirements
Bachelor’s degree or above in Computer Science, Software Engineering, or related data disciplines
Technical authority and strategic lead for the Advanced WildFire charter, bridging the gap between deep engineering innovation and global market adoption for AI-powered malware prevention solutions.
Compensation
$159,000.00 - $255,000.00/yr
Responsibilities
Develop and own the global technical marketing strategy for Advanced WildFire
Translate competitive telemetry and 'in-the-wild' threat data into actionable product requirements
Serve as a premier industry thought leader, evangelizing WildFire’s Precision AI and malware prevention strategies
Oversee the creation of high-quality, architect-level collateral including slide ware, solution guides, and white papers
Collaborate with Product Managers and Engineering leaders to define PRDs and influence the roadmap
Data Engineer - Data GoveranceNewFuku · Singapore, Singapore