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Job Description: Sr Manager, Finance Data & Analytics

About the Job

As the Sr Manager of Finance Data & Analytics, you lead the engine room that powers our strategic decision-making. Your success is defined by the winning combination of partnering your team’s technical data expertise with the business context of our other Finance functions to maximize insights for the executive team. You are responsible for delivering data analytics and the high-confidence Analyst-Ready Data Layer, ensuring our organization executes on insights.

Key Responsibilities

• Data Analysis & Insights: Lead high-impact, cross-functional analyses to uncover the why behind business results, identifying hidden trends and providing strategic recommendations across both top-line growth and expense management.
• Predictive Analytics: Develop and refine early warning indicators that signal structural risks or opportunities in the long-term outlook before they hit the P&L.
• Executive Decision Support: Synthesize complex data analytics into clear, actionable narratives for the CEO, CFO, and PE partners, acting as a strategic advisor to the VP of Finance & Strategy.
• Partnerships & Insights: Actively partner with the Finance & Strategy team on high-priority projects, combining deep data mining with functional business context to deliver more impactful insights.
• Analyst-Ready Data Layer: Build and govern a dedicated business data layer, utilizing both structured warehouse schemas and agile ad-hoc tables, to provide a foundational data layer that eliminates manual data prep, allowing every analyst to work efficiently.
• Connected Planning:  Oversee the integrated architecture of our planning environment (Pigment), ensuring that functional models remain synchronized without sacrificing the autonomy of individual teams.
• Finance AI & Innovation Roadmap: Act as the Finance lead for emerging AI/ML technologies in the finance space; evaluate and pilot AI-driven concepts to enhance forecasting capabilities, automate data anomaly detection, and streamline the Analyst-Ready data layer as the technology matures.

The Profile

• Strategic Partner: 8–10+ years in Finance or Analytics at a $100M+ SaaS company, with a mastery of recurring revenue economics, customer lifecycles, and the data structures required to model complex subscription metrics.
• Bridge Builder: Exceptional at communicating technical data concepts to non-technical audiences.
• Technological Curiosity: A forward-thinking mindset regarding the evolution of technology and Finance; you have a pulse on how Generative AI and Machine Learning are transforming data analysis and can pragmatically apply these tools to solve business problems.
• Data Supported Rigor: You thrive in environments where data accuracy, auditable definitions, and analytical integrity are the standard.

• Advanced SQL & Solution Design: High proficiency in advanced SQL for complex data manipulation to ensure a robust business data layer. 
• Data Governance & Quality:  Proven ability to implement data hygiene protocols and traceability in the transformation layer to guarantee that financial outputs are valid and audit-ready.
• DWH Partnership: Deep experience partnering with Data Engineering and Data Warehouse team