Manager, Engineering Intelligence & Analytics

Manager, Engineering Intelligence & Analytics

Role Summary:

We are looking for a senior leader to own and scale Five9's Engineering Intelligence function — a capability that transforms raw engineering and business data into strategic insights that drive executive decision-making across a $100M+ engineering investment portfolio spanning 1,800+ features. This is not a traditional BI or reporting role. You will be the voice of engineering data, translating complex delivery metrics into business narratives that shape portfolio prioritization, resource allocation, and organizational strategy.

You will inherit a strong foundation: a suite of operational dashboards and analytics tools already built and gaining traction with leadership. Your mandate is to productize these, build real-time data infrastructure, and evolve from reactive reporting to proactive intelligence that anticipates risks, surfaces opportunities, and quantifies business impact.

Responsibilities

Strategic Analytics & Executive Storytelling (40%)

• Own the end-to-end narrative of engineering investment: where money is being spent, what value it is generating, and where adjustments should be made
• Present quarterly and monthly insights to E-Staff and VP-level engineering leadership — not just data, but the story, the "so what," and the recommended actions
• Build and maintain Feature Portfolio Intelligence: delivery predictions, FTE allocation analysis, resource contention identification, and business value mapping
• Lead Quarterly Business Reviews for cross-functional product portfolio pods, providing data-driven performance assessments
• Partner with Delivery Managers, TPMs, and Engineering Directors to ensure analytics directly address their decision-making needs

Platform & Data Engineering (30%)

• Architect the transition from existing dashboards to enterprise BI platform - Looker with real-time data feeds
• Design and build data pipelines integrating Jira (Structure, Advanced Roadmaps), Jellyfish, Salesforce, Launch Darkly, and internal systems via APIs
• Establish data quality frameworks, automated validation, and governance standards
• Eliminate manual data export/import workflows and achieve near-real-time data freshness
• Own the technical roadmap for the analytics platform

Stakeholder & Vendor Management (20%)

• Serve as the primary interface with analytics tool vendors (Jellyfish, Looker/Google, Atlassian) — managing relationships, feature requests, and escalations
• Partner with IT and Data Engineering teams to align on data infrastructure, access, and security requirements
• Build trusted advisor relationships with Engineering VPs, Product leadership, and Finance to ensure analytics serves cross-functional needs

Team Building & Operational Excellence (10%)

• Hire, mentor, and develop the Engineering Analytics Engineer (immediate) and scale the team to 3-5 as the function matures
• Establish team processes: sprint cadence for analytics work, intake/prioritization of requests, SLAs for dashboard updates
• Build a self-service analytics culture where engineering teams can access insights without filing requests
• Document methodologies, calculations, and data lineage to ensure institutional knowledge

Skills, competencies and qualifications

Required

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