Revenue Operations Analytics Lead, Americas

We are seeking a strategic and highly analytical leader to build and scale the analytics foundation for our Americas and Controls Solutions businesses.

This role will lead KPI development, deliver executive-level insights, and enable data-driven decision making across Sales, Marketing, and Customer Success. You will partner closely with Sales Operations, business leadership, and the Analytics Team (BI, Data Science, and Intelligent Automation) to establish a consistent source of truth, improve pipeline visibility, and drive execution.

In addition, this role will serve as the business-side champion for AI in Revenue Operations, covering both analytical AI (predictive and prescriptive models) and Generative AI (Copilots and agents) that automate or augment revenue workflows. You will define business problems, partner with the Analytics Team to shape requirements, validate solutions, and drive adoption across both insights and AI-enabled workflows.

KEY RESPONSIBILITIES:

Analytics Strategy & Business Insights:

• Translate business questions into structured analysis and actionable recommendations

• Identify key drivers of pipeline health, growth, and performance gaps

• Deliver clear, executive-ready insights to inform strategic decisions

KPI Governance & Data Ownership:

• Lead development and standardization of core revenue metrics (pipeline, conversion, coverage)

• Partner with RevOps leadership to maintain a consistent, trusted source of truth

• Drive alignment of data and metric definitions across systems and teams, maintaining a documented business glossary for revenue KPIs

Pipeline & Performance Analysis:

• Analyze pipeline health, stage progression, and conversion trends

• Diagnose root causes of performance issues across segments and regions

• Partner with Sales leadership to improve pipeline quality and execution discipline

Reporting & Dashboard Ecosystem:

• Lead development of scalable, automated dashboards and reporting

• Ensure timely, accurate visibility for leadership and business stakeholders

• Partner with BI and data resources to improve data models and usability

AI Strategy for Revenue Analytics:

• Lead the adoption of both analytical AI (e.g., segmentation, pipeline risk) and Generative AI solutions (Copilots, agents, assistants) across RevOps

• Define and prioritize high-impact use cases where AI improves decision speed, quality, or scale

• Partner with Data and Analytics teams to translate problems into clear requirements, validate model and agent outputs against business reality, and confirm fit for purpose.  

• Own change management and adoption by embedding AI outputs into workflows, training users, and measuring business impact

• Distinguish where analytical AI vs. Generative AI (Copilots/agents) is the right solution, recognizing differences in design, governance, and adoption

Team Leadership & Development:

• Manage and develop a small team of analysts, providing coaching and clear priorities

• Ensure team output balances reporting efficiency with high-impact insights

• Establish best practices for analysis, data quality, and stakeholder communication

• Allocate resources across ad hoc analysis, reporting, and strategic initiatives

Cross-Functional Partnership:

• Partner with Sales Ops, Analytics, Data Engineering, Marketing, Finance, and Enablement to align on insig