Sr. Manager, Product Analytics — AI-Driven Smart Home

NRG Energy; Lehi (UT); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Free daily lunch and drinks on site

Paid holidays and flexible paid time

Employee discounts

Onsite health clinic and gym

Medical/dental/vision/life coverage

401(k) + Employer Match

Quarterly Innovation Weeks

Job summary

Vivint Smart Home is seeking a Senior Manager, Product Analytics to lead a hybrid team of data scientists, analysts, and engineers. You will shape product roadmaps, scale analytics infrastructure, and champion a data-first culture across the smart home ecosystem.

The role focuses on defining metrics, instrumentation, and data governance to drive decisions that improve product performance and customer experience across channels.

Qualifications

• Master's degree in a quantitative field (Statistics, Data Science, BA, CS, Engineering, or MBA with analytics focus).
• 7+ years in analytics or data science; 2+ years in leadership.
• Proven experience in product analytics, customer segmentation, and experimentation.

Responsibilities

• Lead a hybrid team of data scientists, analysts, and engineers.
• Define, track, and own key product and customer metrics across the lifecycle.
• Partner with Product, Design, and Engineering to align analytics with business priorities.

Skills

SQL

Python

R

BigQuery

MongoDB

Postgres

Firestore

Redis

Spanner

Tableau

Mixpanel

Elastic

AWS

GCP

Databricks

Hadoop

A/B Testing

Multivariate Testing

Cohort Analysis

Product lifecycle

Customer journey

Business KPIs

Education

Master's degree in Statistics / Data Science / Business Analytics / CS / Engineering / MBA

Tools

Neo4j

InfluxDB

LLM / AI Agents / Vision

Mobile app analytics tools

Job description

Vivint Smart Home is seeking a Senior Manager, Product Analytics to lead a hybrid team of data scientists, analysts, and engineers. You will shape product roadmaps, scale analytics infrastructure, and champion a data-first culture across the smart home ecosystem.

The role focuses on defining metrics, instrumentation, and data governance to drive decisions that improve product performance and customer experience across channels.