Director, Business Intelligence & Analytics

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

RapidSOS is at an inflection point. We’ve built category-defining products serving emergency communications centers nationwide, and our data tells a powerful story — but only if that story shapes the decisions that determine where we invest, where we grow, and where we win.

We’re hiring a Director of Business Intelligence & Analytics to help run the company with data. This isn’t a role about building dashboards. It’s about becoming the intelligence engine behind how RapidSOS plans, prioritizes, and operates — from the executive team to the board to our investors.You’ll define what “good data” means at RapidSOS, build the systems that continuously generate insight, and use AI to do it faster and smarter than a traditional analytics team ever could. We are not hiring someone to centralize reporting. We are hiring someone to build an AI-amplified decision engine for the company.

• →Be a key partner to the executive team on planning, forecasting, and investment tradeoffs — not just reporting on decisions, but helping shape them.
• →Own the analytical frameworks that inform how RapidSOS allocates resources, evaluates performance, and identifies growth opportunities.
• →Lead white space analysis, upsell opportunity identification, and customer health scoring to drive GTM strategy.
• →Influence board and investor narratives by ensuring the data behind our story is airtight, consistent, and compelling.

• Establish and enforce definitions for all key business metrics — ARR, churn, pipeline, product utilization, and customer health — across Finance, Revenue, and Product.
• Serve as the arbiter of truth when metrics conflict across systems or teams.
• Partner with Finance on investor-grade reporting standards and SaaS metric definitions.

• Identify opportunities to use AI to automate recurring reporting, anomaly detection, forecasting, and narrative generation.
• Build workflows that reduce manual analysis and increase the speed from data to decision.
• Partner with Data Engineering and Product to incorporate predictive and AI-generated insights into dashboards and executive reporting.
• Establish best practices for responsible AI use in analytics, including validation, governance, and transparency.

• Build and maintain dashboards and reporting that drive board, investor, and leadership decisions.
• Own the cadence of executive data deliverables including weekly leadership reviews, monthly business reviews, and board packages.
• Translate complex data into clear, decision-ready narratives for senior stakeholders.

• Embed analytics support across RevOps, Product, and Finance — delivering insights at the speed each team operates.
• Partner with Product on utilization metrics, adoption trends, and retention risk signals.
• Enable self-serve analytics capabilities across the organization so teams move fast without breaking things.

• Hire, develop, and grow a high-impact team of analysts and analytics engineers over time.
• Partner closely with the Data Engineering team (Databricks/medallion architecture) to ensure the analytics layer is reliable, scalable, and governed.
• Evaluate and evolve the BI and AI toolstack to match the ambition of the function.

• 8+ years in analytics, business intelligence, or data strategy roles, with 3+ years in a leadership capacity.
• Deep experience in a B2B SaaS environment — you understand ARR, net revenue retention, CAC, pipeline coverage, and the metrics that matter to investors and operators.
• Proven ability to be a strategic partner to senior leadership, not just a reporting function — you’ve influenced planning, budgeting, and investment decisions with data.
• Experience using AI tools to accelerate analytics workflows: automated SQL generation, natural language data exploration, AI-assisted modeling, or narrative reporting.
• Track record of reducing manual reporting effort through automation or intelligent tooling.
• Hands-on with modern BI tooling (Tableau, Looker, Power BI, or similar); strong SQL skills required.
• Experience working with cloud data platforms (Databricks, Snowflake, BigQuery, or equivalent).
• Executive presence — you can present to the board with confidence and translate complexity into clear decisions.
• Comfort experimenting with new tools and shaping how AI is used responsibly inside an organization.
• Familiarity with analytics engineering workflows and tools and DataBricks familiarity is a plus.
• Prior experience building or formalizing a BI function from the ground up a plus.

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $190,000-$215,000. This role will also be eligible to receive equity options.

If you are based in California, we encourage you to read this important information for California residents linked here: https://rapidsos.com/privacy/california/