Director of Analytics Engineering

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DIRECTOR OF ANALYTICS ENGINEERING

Remote (U.S.)

Up to $235,000 Base + Bonus + Benefits

The Opportunity

We’re partnering with a rapidly growing, technology-driven organization to hire a Director of Analytics who will lead analytics strategy, analytics engineering, and customer-facing data products.

This is not a traditional BI leadership role.

We’re looking for an engineering-minded analytics leader who has grown from a background in software engineering, data engineering, or analytics engineering and still enjoys being close to architecture, data modeling, platform strategy, and technical decision-making.

You’ll lead a talented team while helping shape the future of the company’s analytics, reporting, AI, and customer-facing data product strategy.

What Makes This Role Unique

Own both internal analytics and customer-facing analytics products

Lead a highly visible analytics organization with strong executive sponsorship

Drive modernization across analytics architecture, self-service analytics, and AI-powered insights

Influence product, engineering, and data strategy at the leadership level

Opportunity to help define the future of analytics and AI within the organization

What You’ll Be Doing

Own the analytics vision, roadmap, and long-term strategy

Lead Analytics Engineering, Reporting, and Client Analytics teams

Partner closely with Product, Engineering, AI, and Executive Leadership

Drive adoption of scalable analytics architecture and engineering best practices

Define and govern semantic layers, business metrics, and self-service analytics capabilities

Scale customer-facing analytics products and embedded reporting experiences

Guide AI-enabled analytics initiatives, conversational analytics, and modern decision-support products

Mentor and develop a high-performing analytics organization

What We’re Looking For

Required Background

10+ years of experience in Software Engineering, Data Engineering, or Analytics Engineering

5+ years leading analytics, analytics engineering, or data engineering teams

Strong experience owning analytics strategy and delivery in SaaS or B2B environments

Proven success building and scaling analytics teams and data products

Technical Requirements

Strong expertise with Snowflake architecture, optimization, governance, and data modeling

Hands-on knowledge of Looker, including semantic layers, metric governance, LookML, and self-service analytics

Deep SQL expertise and strong understanding of modern analytics engineering principles

Experience with dimensional modeling, semantic modeling, dbt, and enterprise data architecture

Ability to lead technical discussions with engineers, architects, and executive stakeholders

Preferred Experience

Customer-facing analytics products, embedded analytics, or external reporting platforms

AI-powered analytics, conversational analytics, LLMs, or GenAI initiatives

Modern cloud data ecosystems including Snowflake, dbt, and cloud-native analytics platforms

Experience supporting Product, Revenue, Customer Success, and Executive stakeholders

Why Join

Lead a highly visible analytics function

Drive analytics modernization and AI initiatives

Own customer-facing and internal analytics products

Partner directly with executive leadership

Join a team investing heavily in analytics, data products, and AI

Strong growth trajectory with long-term leadership opportunities

If you’re an engineering-first analytics leader who loves building modern analytics platforms, scaling teams, and driving business impact through Snowflake, Looker, and data products, we’d love to connect.

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