Job Description
DIRECTOR OF ANALYTICS ENGINEERING
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Remote (U.S.)
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Up to $235,000 Base + Bonus + Benefits
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The Opportunity
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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.
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This is not a traditional BI leadership role.
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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.
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You'll lead a talented team while helping shape the future of the company's analytics, reporting, AI, and customer-facing data product strategy.
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What Makes This Role Unique
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- 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
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What You'll Be Doing
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- 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
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What We're Looking For
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Required Background
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- 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
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Technical Requirements
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- 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
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Preferred Experience
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- 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
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Why Join
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- 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
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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.