Sr Manager, Product Analytics

Nrg Bluewater Wind; Lehi (UT); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Free daily lunch on site

Paid holidays and flexible time off

Employee discounts

Onsite health clinic

401(k) + Employer Match

Employee Resource Groups

Innovation Weeks

Job summary

Vivint is seeking a Sr Manager, Product Analytics to lead a hybrid team of data scientists, analysts, and engineers. You will drive data strategy, performance metrics, and analytics infrastructure to guide product, customer, and business decisions across the smart home ecosystem.

You will partner with executives to shape roadmaps, enable AI/ML enablement, and ensure data governance while delivering scalable dashboards and insights that democratize decision making.

Qualifications

• Master’s degree in a quantitative field (Statistics, Data Science, CS, Eng, or related).
• 7+ years in analytics or data science; 2+ years in leadership.
• Proven product analytics, segmentation, and experimentation experience.

Responsibilities

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

Skills

Product analytics

Leadership

Experimentation design

Data storytelling

Strategic thinking

Education

Master's degree in a quantitative field

Tools

SQL

Python

R

BigQuery

MongoDB

Postgres

Firestore

Redis

Spanner

Tableau

Mixpanel

Elastic

AWS

GCP

Databricks

Hadoop

Job description

Job Description

Vivint pioneers cutting‑edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions through groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes.

About This Role

We are seeking a Sr Manager, Product Analytics to lead a high‑impact team of data scientists and data engineers that drive actionable insights across product, customer, and business domains. Product Analytics owns the development of data strategy and performance metrics that guide decision‑making across the smart home ecosystem. This leader will partner closely with senior stakeholders to shape product roadmaps, scale analytics infrastructure, and champion a data‑first culture.

• Team Leadership – Manage, mentor, and grow a hybrid high‑performing team of data scientists, analysts, and engineers. Foster a collaborative, inclusive, and innovative culture. Prioritize resources and remove blockers.
• Strategic Analytics & Metrics Ownership – Define, track, and own key product and customer experience metrics across the smart home lifecycle.
• Cross‑Functional Collaboration & Influence – Partner with Product, Design, and Engineering to align analytics with business priorities. Engage executive stakeholders and external business units to clearly define requirements, set expectations, and influence strategic decisions through data.
• AI/ML Enablement & Data Flywheel – Define and prioritize data instrumentation strategies to enable actionable behavioral and device data capture to close the feedback loop for product refinement.
• Analytics Infrastructure – Oversee scalable analytics architecture, dashboards, and internal tooling to democratize insights.
• Data Governance & Privacy – Ensure data quality, consistency, and governance across teams and platforms.

Required Qualifications

• Education – Master’s degree in a quantitative field (e.g., Statistics, Data Science, Business Analytics, Computer Science, Engineering, or MBA with strong analytics focus).
• Experience
  • 7+ years in analytics or data science roles, with 2+ years in a leadership or managerial capacity.
  • Proven experience in product analytics, customer segmentation, and experimentation.
• Technical Skills
  • Proficiency in SQL, Python, R.
  • Proficiency in database technologies (e.g., BigQuery, MongoDB, Postgres, Firestore, Redis, Spanner).
  • Experience with data visualization tools (e.g., Tableau, Mixpanel, Elastic).
  • Familiarity with cloud (e.g., AWS, GCP) and big data platforms/tools (e.g., Databricks, Hadoop).
  • Experimentation design (e.g., A/B testing, Multivariate Testing (MVT), Cohort Analysis).
• Business Acumen
  • Strong understanding of product lifecycle, customer journey, and business KPIs.
  • Ability to influence product and business strategy through data.

Preferred Qualifications

• Experience in the IoT or smart home industry.
• Background in ML products (e.g., LLM, AI Agents, Vision, etc).
• Experience with mobile app analytics and tools.
• Familiarity with causal inference techniques (e.g., DiD, PSM, Synthetic Control).
• Track record of cost reduction or revenue growth through data initiatives.

Benefits

• Free daily lunch and drinks on site
• Paid holidays and flexible paid time away
• Employee/Friends/Family Discounts
• Onsite health clinic, gym, gaming tables
• Medical/dental/vision/life coverage & 24/7 Medical Hotline
• 401(k) + Employer Match
• Employee Resource Groups
• Quarterly Innovation Weeks

NRG Energy is committed to a drug and alcohol‑free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post‑accident and reasonable suspicion drug and alcohol testing. EEO AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant’s experience or skills.