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Manager, Product Analytics – Data Science
Location
United States
Posted
4 days ago
Salary
$160K - $176K / year
Seniority
Senior
Job Description
Manager, Product Analytics – Data Science
CompanyCam
• 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
Job Requirements
- 5–8 years of experience in product analytics, data analytics, or data science, including 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.
Benefits
- meaningful equity and other benefits
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If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check




