Senior Manager - BI Analyst at RingCentral

, , India -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial Analytics, AI, Machine Learning, Cloud Architecture, Python, Streamlit, GCP, AWS, SQL, Data Engineering, ETL, Conversational AI, Data Governance, Forecasting, Anomaly Detection, Microservices, CI/CD

Industry

Software Development

Description

RingCentral is the #1 global leader in cloud-based communications and collaboration software. We’re a $2.5 billion company that’s growing at 30+% annually and we’re expanding our Finance Team to make sure we stay way ahead of the competition. Ready to join the most innovative Finance Program in the industry? RingCentral’s award-winning Finance Team is a collaborative, goal-oriented organization that invests heavily in its people. Third parties like IHS Markit, Frost & Sullivan, and Aragon Research consistently list RingCentral. Location: India Role Overview We are seeking a Senior Manager – Financial BI AI Solutions 12-15 years exp to lead the end-to-end design, development, and deployment of an AI-powered Financial Chatbot (Fin Chatbot) ecosystem. This role blends financial analytics, applied AI/ML, and cloud architecture to build conversational intelligence that enables real-time insights and executive decision support. You will oversee architecture, data pipelines, and LLM-driven automation using Streamlit, Python, and multi-cloud AI services (Google Cloud or AWS). Key Responsibilities 1. Strategic Leadership & Product Ownership Define the AI-driven financial analytics roadmap integrating BI, data science, and conversational AI. Lead a team of BI developers, data engineers, and ML engineers to deliver enterprise-grade financial AI systems. Partner with Finance, IT, and Cloud Engineering teams to scale the Fin Chatbot platform. 2. Fin Chatbot Development & Architecture Architect and deploy chatbots using Vertex AI (Search, Chat, Agent Builder) or AWS Bedrock + Lex + Kendra. Build front-end conversational interfaces using Streamlit (mandatory) and/or React/Next.js, hosted via Cloud Run / AWS ECS / Fargate. Integrate LLMs (Gemini, GPT, Claude, or Titan) for natural language financial analysis, summarization, and forecasting. Connect data sources from BigQuery / Snowflake / Redshift and cloud storage for contextual Q&A and retrieval. 3. Data Engineering & Governance Design and manage ETL/ELT pipelines using Dataflow / Glue / Airflow / dbt. Ensure robust data governance, lineage, and access control across ERP and analytics systems. Integrate with Netsuite, SAP, or Workday Adaptive for real-time financial data ingestion. 4. AI/ML & Automation Develop AI-powered forecasting and anomaly detection models using Python (mandatory), PySpark, and Vertex AI / SageMaker. Implement RAG pipelines using LangChain, FAISS, or Elasticsearch. Deploy microservices using FastAPI / Flask, containerized with Docker / Kubernetes (GKE/EKS). 5. Operational Excellence Manage CI/CD pipelines with Cloud Build / AWS CodePipeline. Implement FinOps cost monitoring and AI performance governance. Ensure compliance with financial data privacy and security policies. Required Skills & Experience Bachelor’s or Master’s degree in Computer Science, Data Analytics, or related field. 12+ years of experience in financial analytics, BI, or data strategy, with at least 5+ years in a managerial/leadership role. Mandatory: Proficiency in Python and Streamlit for application and chatbot development. Strong experience with GCP (Vertex AI, BigQuery, Cloud Run) and/or AWS (Bedrock, SageMaker, Redshift, Lambda). Expertise in SQL, PySpark, APIs, and data modeling. Proven success in building conversational AI or analytical automation platforms. Exceptional communication and stakeholder management skills, with the ability to influence at the executive level. Good to Have (BI & Visualization Tools) Tableau, Looker, Power BI, or QuickSight for visualization and reporting. Plotly Dash, Panel, or Streamlit extensions for analytics apps. ETL tools such as Informatica, Tableau Prep, or AWS Glue DataBrew. What we offer: RingCentral offers all the work/life benefits you could ever want, (and none of the micromanagement.) Comprehensive medical, dental, vision, disability, life and pet insurance Flexible PTO 401K match and ESPP Wellness programs including virtual yoga, bootcamp, meditation classes and more Paid parental leave Milk Stork parental account New parent gift box RingCentral Finance careers provide unmatched opportunities for professional and personal growth. You’ll lead change. Build new systems and processes. Collaborate with and learn from the best. Our work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining the best people because we know great people power our success. We’d love to hear from you RingCentral, Inc. (NYSE: RNG) is a leading provider of global enterprise cloud communications, collaboration, and contact center solutions. More flexible and cost-effective than legacy on-premises systems, the RingCentral platform empowers employees to Work as OneTM from any location, on any device, and via any mode to better serve customers, improving business efficiency and customer satisfaction. The company provides unified voice, video meetings, team messaging, digital customer engagement, and integrated contact center solutions for enterprises globally. RingCentral’s open platform integrates with leading business apps and enables customers to easily customize business workflows. RingCentral is headquartered in Belmont, California, and has offices around the world. RingCentral is an EEO/AA employer.

Responsibilities

Lead the design, development, and deployment of an AI-powered Financial Chatbot ecosystem. Oversee architecture, data pipelines, and automation to enable real-time insights and executive decision support.