Head of Analytics

People In AI; United States; On-site; USD 250,000 - 275,000; Full time

Job summary

People In AI is seeking a hands-on analytics leader to own the analytics function across Sales, Customer Success, and Marketing. The role reports to senior leadership and shapes how data drives revenue growth, customer health, and marketing effectiveness.

You will partner with Data Engineering, establish governance, and build a self-service, AI-enabled analytics capability. This remote US position offers a high-impact, cross-functional leadership path at scale.

Qualifications

• Significant experience in analytics, business intelligence, revenue analytics, or data strategy.
• Track record of owning analytics for a revenue organization.
• Strong understanding of Sales, Customer Success, and Marketing data and operating metrics.
• Experience supporting a scaling SaaS or data-intensive business.
• Hands-on SQL, BI, visualization, and data-modeling capabilities.

Responsibilities

• Own the analytics strategy and roadmap across Sales, Customer Success, and Marketing.
• Deliver rigorous, timely ad hoc analysis at leadership pace.
• Develop clear recommendations beyond data presentation.
• Analyze revenue, pipeline, conversion, churn, retention, onboarding, and marketing effectiveness.
• Build a proactive insights capability to identify risks and opportunities.
• Establish metric definitions, reporting standards, and quality controls.
• Collaborate with Data Engineering on data architecture and tooling decisions.
• Use AI-powered analytics to automate routine data access and expand self-service.

Skills

SQL

BI

Data modeling

Executive communication

Analytics leadership

Data strategy

Tools

BI tools

Visualization

Job description

Compensation: $250,000 - $275,000 base + equity

Location: Remote within the US

Join a fast-growing, AI-forward SaaS company at a major stage of commercial growth. The company is looking for a hands-on analytics leader to own its analytics function across Sales, Customer Success, and Marketing. This is an opportunity to transform a historically reactive analytics function into a trusted, proactive partner to the business.

What You'll Do

• Own the analytics strategy and roadmap across Sales, Customer Success, and Marketing.
• Deliver rigorous, timely ad hoc analysis at the operating pace of senior leadership.
• Develop clear recommendations rather than simply presenting data or a menu of options.
• Analyze areas such as revenue performance, pipeline health, conversion, churn, retention, customer health, onboarding, marketing effectiveness, and sales productivity.
• Build toward a proactive insights capability that identifies emerging risks and opportunities.
• Establish consistent metric definitions, reporting standards, and quality controls.
• Identify when reporting problems originate from broken business processes, CRM workflows, or upstream data capture.
• Work with the appropriate operations teams to drive those issues through to durable resolution.
• Partner closely with Data Engineering on data architecture, modeling, quality, and tooling decisions.
• Use AI-powered analytics tools to automate routine data access and expand self-service capabilities.
• Determine when a request should be answered through self-service tools, delegated, deprioritized, or handled directly.
• Create a clear operating model for analytics intake, prioritization, delivery, and stakeholder communication.
• Present insights and recommendations to the CRO, CEO, and broader executive leadership team.
• Manage and develop a lean analytics team while establishing a culture of rigor, ownership, urgency, and accountability.

What You'll Bring

• Significant experience in analytics, business intelligence, revenue analytics, or data strategy.
• A track record of owning analytics for a revenue organization.
• Strong understanding of Sales, Customer Success, and Marketing data and operating metrics.
• Experience supporting a scaling SaaS, subscription, or similarly data-intensive commercial business.
• Strong hands-on SQL, BI, visualization, and data-modeling capabilities.
• Experience improving or establishing reporting infrastructure in an organization where analytics was incomplete, fragmented, or not fully trusted.
• Experience partnering with Data Engineering on pipelines, architecture, governance, and tooling decisions.
• Executive-level communication skills and experience presenting to VP, C-suite, or board-level stakeholders.
• High intellectual curiosity and the desire to understand why the business is performing as it is, not simply report what happened.
• A record of independently identifying important problems and driving them through to completion.
• Comfort operating in a fast-moving environment with ambiguity, imperfect data, and a deliberately lean team.

Why Join?

• Take full ownership of a highly visible analytics function at a critical stage of company growth.
• Build the reporting, analytical, and operating foundation that the business has not previously had.
• Work directly with the CRO, CEO, and senior leaders across the organization.
• Deliver insights with the potential to materially change commercial priorities and business performance.
• Help define how an AI-forward company approaches analytics, self-service data access, and business intelligence.

About People In AI

We partner with AI-first startups, scale-ups, and enterprise organizations to connect exceptional data and analytics leaders with opportunities to build high-impact functions, influence executive decision-making, and shape how modern organizations use data and AI.