Manager, Product Analytics & Data Science

CompanyCam

4d•$160,000 - $176,000•Remote

About The Position

CompanyCam is seeking a Manager, Product Analytics & Data Science to lead and evolve their Product Analytics and Data Science function. This role will act as a trusted operating partner for Product and Engineering, reporting to the CFO. The position involves leading a team of Product Data Analysts and an embedded Data Scientist, while also being hands-on to ensure analysis quality, support product decisions, and guide data science applications. The role requires a blend of people leadership, operating model design, product analytics strategy, and practical data science leadership. The goal is to transform the function from a reactive support team into a scalable system for product intelligence, enhancing experimentation, metric quality, product insights, and decision-making. Collaboration with Product, Engineering, Analytics Engineering, Data Engineering, and ML/AI teams is crucial for building durable practices, clarifying ownership, and creating an effective support model.

Requirements

5–8 years of experience in product analytics, data analytics, or data science
At least 2 years in a people leadership or team lead role
Experience leading analytics or data science work within SaaS or technology environments
Strong SQL proficiency and experience working with complex data models and analytical workflows
Experience with experimentation frameworks, A/B testing, and causal inference methodologies
Working knowledge of machine learning concepts, predictive modeling, and how data science supports product development
Experience with modern analytics and semantic layer tooling such as dbt, Metabase, Secoda, Looker, or similar platforms
Strong communication and stakeholder management skills with the ability to simplify complex concepts for varied audiences
Experience managing cross-functional projects and balancing competing priorities in fast-moving environments
A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving.
A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems.

Responsibilities

Lead and develop a team of Product Data Analysts and an embedded Data Scientist through coaching, prioritization, and hands-on analytical leadership
Establish clear expectations and quality standards for product analytics, experimentation, and data science work
Build scalable operating processes for intake, prioritization, stakeholder communication, and cross-functional collaboration
Partner with Product and Engineering leaders to support data-informed product strategy and decision-making
Help teams connect product behavior to activation, adoption, engagement, retention, and customer value
Guide experimentation strategy and ensure rigorous A/B testing methodologies and actionable interpretation of results
Improve product metrics and scorecards that measure product health, workflow usage, launch performance, and customer outcomes
Enable thoughtful self-service analytics through tools such as Metabase, Amplitude, Secoda, and dbt
Partner cross-functionally with Analytics Engineering, Data Engineering, Engineering, and ML/AI teams to improve ownership clarity and data quality
Translate complex analysis and data science work into clear, decision-oriented insights for technical and non-technical stakeholders
Identify practical, high-impact opportunities for predictive modeling, classification, recommendation systems, and AI-enabled product intelligence
Help stakeholders distinguish between meaningful data science opportunities and lower-value or overly speculative work
Contribute directly to high-priority analyses, ambiguous product questions, and strategic initiatives when needed
Protect the team from low-leverage work while creating space for higher-impact analytical and strategic contributions