Finance Systems Manager
RingCentralAbout the role
Say hello to opportunities.
It’s not everyday that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers.
RingSense AI is our proprietary AI solution. It’s designed to fit the business needs of our customers, orchestrated to be accurate and precise, and built on the same open platform principles we apply to our core software solutions.
We are seeking a Finance Systems Manager with deep experience in financial analytics, business intelligence, and enterprise reporting. This role will serve as a strategic and hands-on leader responsible for building, governing, and scaling a modern finance analytics ecosystem.
The ideal candidate brings strong advanced technical expertise, and the ability to partner closely with Finance, FP&A, and Engineering stakeholders.
Key Responsibilities
Data Pipeline & Architecture Ownership
Oversee end-to-end finance analytics pipelines, including:
SQL-based data extraction and aggregation
Python-based transformation, business logic, and forecasting
BI semantic layers and dashboard consumption
AI-enabled analytics and self-service insights
Ensure performance, scalability, and reliability of financial reporting datasets
Advanced Analytics & Insights Delivery
Lead Python-driven analytics such as:
Dataset reshaping and pivots for reporting and analysis
Handling missing data, outliers, and data quality issues
Trend analysis and customer-level performance monitoring
Lightweight forecasting and scenario analysis for planning
Translate complex financial data into clear, actionable insights for executive leadership
BI & Executive Reporting
Design, govern, and optimize executive dashboards and KPI frameworks using Tableau and other BI platforms
Ensure dashboards support intuitive drill-downs across customer, product, segment, region, and time
Drive consistency between dashboards, reports, and AI-driven insights to maintain metric trust
AI & Analytics Enablement
Support AI-driven finance analytics initiatives by ensuring:
AI tools use governed, approved financial metrics
Outputs are explainable, traceable, and auditable
Role-based access and data security controls are enforced
Establish guardrails to prevent incorrect metrics or misleading interpretations
Operational Excellence
Drive continuous improvement in BI workflows, SQL performance, Python pipelines, and automation
Improve efficiency, accuracy, and scalability of financial reporting systems
Ensure smooth transitions between legacy and next-generation financial platforms
Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Data Analytics, or a related field
8+ years of experience in Financial Analytics, Business Intelligence, or Data Analytics, with significant leadership experience
Advanced expertise in SQL for analytics-ready data modeling
Strong experience with Python for data transformation, analysis, and forecasting
Hands-on experience with Tableau (primary) and other BI tools
Strong understanding of financial and transactional data domains
Proven ability to define, govern, and scale financial metrics across the enterprise
Excellent communication and stakeholder management skills, with executive-level presence
Technical Skills Required
SQL & Data Warehousing
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