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Manager, Platform Analytics

United States completa AI Solutions Lead
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Original posting on LinkedIn

The Manager, Platform Analytics leads the analytics function supporting the reliability, efficiency, useability, and scalability of our core platforms. This role translates data into insights that drive product decisions, operational excellence, and business growth. This role focuses on product user experience, operational health, service performance, capacity, and cost transparency, enabling the Product & Technology teams and leadership to proactively manage the platform and make data-driven operational decisions. The Manager, Platform Analytics defines how platform health is measured, ensures operational data is trusted and actionable, improves feature adoption, and leads a team that improves uptime, resiliency, and operational efficiency.

Starting base pay for this role is between $122,000 and $154,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states).

Responsibilities

Defines and owns the end-to-end analytics strategy for Product & Technology, ensuring alignment across system reliability, operational performance, and product growth objectives
Builds, mentors, and manages a high-performing team of analysts and specialists supporting platform operations and product lifecycle insights
Leads performance management and compensation processes for assigned team members, including completing year-end reviews
Establishes best practices for operational and product-led metrics, reporting, and data governance to ensure a unified "source of truth"
Prioritizes analytics initiatives based on operational risk, business impact, and the roadmap to support both stability and innovation
Owns measurement frameworks for OLAs, KPIs, and product success signals (e.g., retention, churn, and feature adoption)
Partners with internal teams to measure platform performance, reliability, and user behavior patterns to drive scalability
Analyzes trends in incidents and outages while investigating user friction points to identify root causes and prevention opportunities
Supports infrastructure capacity planning and utilization analysis alongside user growth and demand forecasting
Develops transparency into platform costs and efficiency, as well as the ROI of product features and enhancements
Acts as a lead analytics advisor to the Director of Platform Operations, Product Management, and senior leadership
Converts complex operational and behavioral datasets into clear, actionable recommendations for diverse stakeholders
Enables leadership to navigate tradeoffs between technical reliability, development speed, cost, and user experience
Ensures the accuracy and consistency of all operational data and product telemetry/instrumentation
Collaborates with Data Engineering and Product teams to enhance data pipelines, models, and event-tracking frameworks
Builds dashboards and tools providing real-time visibility into platform health and product performance
Maintains comprehensive documentation for all operational and product-related metrics and definitions
Proactively collaborates with internal and external stakeholders to identify improvements, deliver data solutions, and measure impact

Qualifications

Bachelor’s degree in Business Administration, Analytics, Information Technology, or similar required. Advanced degree is a plus
7+ years of experience in analytics, data, or platform operations
3+ years of leading or managing teams
Proven experience defining analytics strategy and measurement frameworks for technology platforms or infrastructure systems
Strong expertise in operational analytics, including reliability, performance, availability, capacity planning, and cost optimization
Hands-on experience with analytics, AI analytics, and BI tools and working with large, complex datasets
Demonstrated ability to partner effectively with Product, Engineering, and Platform Operations in a technical environment
Experience translating complex technical and operational data into clear, actionable insights for senior leaders
Working knowledge of SLAs/OLAs, KPIs, incident management, and operational risk metrics
Experience collaborating with Data Engineering on data quality, pipelines, instrumentation, and governance
Strong people leadership, communication, and stakeholder management skills
Experience with the Origami product across multiple markets is appreciated but not required

Benefits

Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
Paid Time Off – Flexible options plus 10 paid company holidays where available**
All full-time positions are hybrid, with many eligible to be completely remote
Fully Paid by Origami Risk – Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
Generous family leave options—including adoption and foster care placements
Pre-Tax Savings Accounts – Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
Retirement Savings – 401(k) with company match up to 4%
Employee Assistance Program (EAP) – Confidential & Free support offered to colleagues facing personal or work-related complications
Education Assistance Program – to help colleagues pursue industry/role-specific certifications
Wellness Benefits – reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
Additional coverages available – Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage
Flexible PTO not available in California or the UK

Who We Are

Origami Risk d

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This is a ai solutions lead position on a completa basis in United States. The exact schedule and conditions are in the original posting from the company.

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