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Senior Manager, Product Analytics

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: NRG Energy
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success-take the lead in shaping your career development, goals and future!

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., Big Query, Mongo

    DB, 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.
  • Graph database technologies (e.g., Neo4j)
  • Time-series database technologies (e.g., Influx

    DB)
  • 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.
  • Data monitoring (e.g., Data lineage, Data quality, Security, Statistical Process Control (SPC))
Working at Vivint

Learn about the Vivint Culture and why it's a great place to grow your career!

Here are some highlighted perks you should ask us about:

  • 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
Working Conditions & Safety

WORKING CONDITIONS:

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

SAFETY:
Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employees must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide…

Position Requirements
10+ Years work experience
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