Head of Data Analytics

Company 

Photobucket is entering a critical phase of product and growth evolution.

We have established a strong product development lifecycle, a clear product vision, and a roadmap supported by a new product currently in market. The foundation is in place. The next phase is about optimizing engagement, accelerating product-led growth, improving retention, and deeply understanding the behavioral drivers behind user adoption and monetization.

Photobucket’s vision is: To redefine digital connection by creating private spaces where real relationships, shared experiences, and authentic communities thrive - anytime, anywhere.

We are building what will become the private, mobile-first platform for group-based photo and video sharing - serving families, sports teams, and social groups.

As we continue transitioning toward a product-led organization, data and analytics has become a core strategic function across Product, Growth, Marketing, Retention, and Executive Leadership.

This role exists to:

• Turn data into actionable business intelligence
• Identify growth levers and retention drivers
• Build a deeper understanding of user behavior and product-market fit
• Enable faster, smarter, and more measurable decision-making across the company

The opportunity is significant:

• 70M+ legacy user accounts available for reactivation
• Freemium model as the core growth engine
• Large-scale behavioral and engagement data being generated daily

This role will play a critical role in helping Photobucket become a truly data-driven, product-led business.

Role in the Organization

• Position: Head of Data & Analytics
• Reporting: Reports directly to the CFO with close partnership with Product, Growth, Marketing, and Finance
• Scope: Owns the company-wide data, analytics, product intelligence, and growth insights function

This role is not designed to be a passive reporting or dashboarding function.

The Head of Data & Analytics:

• Proactively identifies insights, opportunities, and risks
• Operates as a strategic growth partner across the organization
• Helps leadership understand what is happening in the business and why
• Builds the analytical foundation for product-led growth and retention optimization

Core Responsibilities

The Head of Data & Analytics will be accountable for:

1. Driving Product & Growth Intelligence

• Develop a deep understanding of user behavior across the product ecosystem
• Identify key activation, engagement, retention, and monetization drivers
• Help establish product as the primary growth engine

2. Building a Product-Led Analytics Function

• Create scalable reporting and analytics frameworks across Product, Growth, and Marketing
• Develop KPI frameworks tied to company-wide objectives
• Build visibility into behavioral funnels, cohort performance, and user lifecycle metrics

3. Identifying Growth & Retention Opportunities

• Proactively surface insights and recommendations to leadership
• Identify growth levers that improve:
• WAU/MAU
• Activation
• Freemium conversion
• Retention
• Invite loops and virality

4. Supporting Product-Market Fit Discovery

• Analyze user behavior across core personas
• Help the organization understand where engagement is strongest and where friction exists

5. Developing Executive & Board-Level Reporting

• Build and maintain executive dashboards and KPI visibility
• Support monthly and quarterly Board reporting
• Translate complex data into clear business narratives and actionable recommendations

6. Establishing a Data-Driven Culture

• Help evolve Photobucket into a truly data-informed and product-led organization
• Create consistency around metrics, reporting, and business intelligence
• Partner cross-functionally to improve decision-making velocity and accountability

What you will bring to Photobucket

Required

• 10+ years of experience in analytics, product analytics, marketing analytics, or business intelligence
• B2C SaaS product analytics experience
• Product-led growth experience
• Technical Fluency: Strong SQL skills and comfort working with large, complex datasets. Fluency with BI tools (Amazon Quick, Tableau, Power BI, or similar) and modern data stacks (Snowflake, AWS database