Mutual of Omaha Mortgage
Product Manager - Analytics & Product Success
Mutual of Omaha Mortgage, Irvine, California, United States, 92713
We're seeking a data-driven Product Manager who will ensure product success through rigorous monitoring, analytics, and measurement. This role is the guardian of product health and success metrics, using sophisticated monitoring tools and deep data analysis to verify features work as expected, launches succeed, and products deliver measurable value to customers and the business.
Key Responsibilities
Ensuring Product Success Through Analytics and Monitoring Tools
Own end-to-end success metrics for products and features from conception through maturity
Use monitoring tools and data analysis to validate that all product features work as expected
Define what "success" means for each product initiative and measure it rigorously
Drive product improvements and optimizations based on success metrics and data insights
Design and implement comprehensive monitoring systems using industry-leading tools to track product health in real‑time
Monitor feature‑level performance metrics to ensure all functionality operates within expected parameters
Track error rates, latency, conversion funnels, and other technical and behavioral metrics by feature
Lead root cause analysis and post‑mortems when product issues arise
Deep Data Analysis & Insights
Leverage analytics tools and advanced SQL to conduct deep‑dive analyses into product performance and user behavior
Establish instrumentation standards and ensure complete feature coverage for all product functionality
Verify feature functionality through analytics validation, identifying bugs, errors, and unexpected behaviors
Create automated anomaly detection systems to identify when features deviate from expected behavior
Lead end‑to‑end launch planning and execution, ensuring launches meet success criteria
Define launch success metrics and measurement frameworks before product releases
Use monitoring and analytics to track launch performance in real‑time
Conduct post‑launch reviews using data to assess success and inform future product improvements
Qualifications
4+ years of product management experience with heavy focus on analytics, monitoring, and measuring product success
Strong knowledge of Salesforce CRM
Expert proficiency with monitoring and analytics tools (e.g., Datadog, Pendo, Heap)
Advanced SQL skills and the ability to independently query databases to investigate feature behavior and product health
Proven track record of using monitoring tools and data analysis to ensure product features work as expected
Experience setting up instrumentation, event tracking, and validation frameworks for product features
Proven track record of leading successful product launches from planning through post‑launch optimization
Strong communication skills with the ability to present complex data clearly to diverse audiences
Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, Economics) or equivalent experience
Experience with statistical analysis and familiarity with Python or R for data analysis
Background in building or managing analytics platforms and monitoring systems
Knowledge of data infrastructure, pipelines, instrumentation best practices, and observability tools
Experience with product‑led growth strategies and success metrics
Familiarity with APM (Application Performance Monitoring) tools and practices
What Success Looks Like First 90 Days:
Establish comprehensive product health dashboards and monitoring systems, define success metrics for ongoing initiatives, use analytics to validate feature functionality, and successfully lead or contribute to a product launch with clear success measurement.
First 6 Months:
Own the analytics and monitoring strategy for all product platforms, demonstrate measurable improvements in product success metrics, establish a track record of successful launches with data‑proven outcomes, and be recognized as the go‑to expert for product health and success measurements.
#J-18808-Ljbffr
Key Responsibilities
Ensuring Product Success Through Analytics and Monitoring Tools
Own end-to-end success metrics for products and features from conception through maturity
Use monitoring tools and data analysis to validate that all product features work as expected
Define what "success" means for each product initiative and measure it rigorously
Drive product improvements and optimizations based on success metrics and data insights
Design and implement comprehensive monitoring systems using industry-leading tools to track product health in real‑time
Monitor feature‑level performance metrics to ensure all functionality operates within expected parameters
Track error rates, latency, conversion funnels, and other technical and behavioral metrics by feature
Lead root cause analysis and post‑mortems when product issues arise
Deep Data Analysis & Insights
Leverage analytics tools and advanced SQL to conduct deep‑dive analyses into product performance and user behavior
Establish instrumentation standards and ensure complete feature coverage for all product functionality
Verify feature functionality through analytics validation, identifying bugs, errors, and unexpected behaviors
Create automated anomaly detection systems to identify when features deviate from expected behavior
Lead end‑to‑end launch planning and execution, ensuring launches meet success criteria
Define launch success metrics and measurement frameworks before product releases
Use monitoring and analytics to track launch performance in real‑time
Conduct post‑launch reviews using data to assess success and inform future product improvements
Qualifications
4+ years of product management experience with heavy focus on analytics, monitoring, and measuring product success
Strong knowledge of Salesforce CRM
Expert proficiency with monitoring and analytics tools (e.g., Datadog, Pendo, Heap)
Advanced SQL skills and the ability to independently query databases to investigate feature behavior and product health
Proven track record of using monitoring tools and data analysis to ensure product features work as expected
Experience setting up instrumentation, event tracking, and validation frameworks for product features
Proven track record of leading successful product launches from planning through post‑launch optimization
Strong communication skills with the ability to present complex data clearly to diverse audiences
Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, Economics) or equivalent experience
Experience with statistical analysis and familiarity with Python or R for data analysis
Background in building or managing analytics platforms and monitoring systems
Knowledge of data infrastructure, pipelines, instrumentation best practices, and observability tools
Experience with product‑led growth strategies and success metrics
Familiarity with APM (Application Performance Monitoring) tools and practices
What Success Looks Like First 90 Days:
Establish comprehensive product health dashboards and monitoring systems, define success metrics for ongoing initiatives, use analytics to validate feature functionality, and successfully lead or contribute to a product launch with clear success measurement.
First 6 Months:
Own the analytics and monitoring strategy for all product platforms, demonstrate measurable improvements in product success metrics, establish a track record of successful launches with data‑proven outcomes, and be recognized as the go‑to expert for product health and success measurements.
#J-18808-Ljbffr