Director, Revenue Intelligence & Analytics

UPSTACK

10h•$170,000 - $190,000

About The Position

We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence.

Requirements

10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions.
Experience supporting executive leadership teams and influencing business strategy through data-driven insights.
Proven success in SaaS, subscription-based, or high-growth technology environments.
Demonstrated experience building and managing forecasting, planning, and performance management processes.
Deep knowledge of: Revenue Operations principles, Forecast governance and pipeline management, Territory design and sales capacity planning, Compensation and incentive design, Partner and ecosystem business models, SaaS growth metrics and revenue architecture, FP&A, forecasting, budgeting, and variance analysis, Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics, GTM business models and sales performance measurement.
Advanced proficiency with: Salesforce, SQL, Snowflake, Gong, HubSpot, Marketo, Power BI, Tableau, or similar BI platforms, Excel and financial modeling tools, Predictive analytics and AI-enabled business analysis solutions.
Exceptional analytical and problem-solving skills.
Strong executive communication and data storytelling capabilities.
Ability to synthesize large, complex datasets into actionable business recommendations.
Excellent stakeholder management and cross-functional collaboration skills.
Strong project management and prioritization abilities.
High attention to detail and commitment to data accuracy.
Ability to influence executive decision-making through quantitative analysis and strategic recommendations.
Demonstrated ability to challenge assumptions and drive accountability through business inspection processes.
Experience balancing strategic planning with operational execution.
Strong business acumen with a focus on ROI-driven investment decisions.
Ability to thrive in a fast-paced, high-growth environment with evolving priorities.
Proven track record of identifying business risks and opportunities proactively.
Experience building scalable analytical frameworks and financial models that support company growth.
Ability to partner effectively with both technical and non-technical stakeholders.
Commitment to continuous improvement, operational excellence, and innovation.

Responsibilities

Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment.
Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership.
Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability.
Analyze stage conversion rates, deal progression, slippage trends, and forecast variance.
Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership.
Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity.
Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types.
Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews.
Identify opportunities to improve revenue-generating efficiency and resource allocation.
Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling.
Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics.
Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions.
Provide recommendations on GTM investments, territory design, and strategic growth initiatives.
Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness.
Assess partner economics and recommend optimization strategies to maximize growth and profitability.
Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations.
Design and maintain executive dashboards and KPI reporting frameworks.
Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions.
Translate complex data into clear, compelling executive-level narratives.
Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making.
Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics.
Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution.
Support annual planning, budgeting, and long-range strategic planning processes.
Ensure data integrity, reporting consistency, and analytical rigor across the organization.
Drive continuous improvement of processes, tools, systems, and reporting frameworks.