Product Data Science Lead

UpGuard
Melbourne, Brisbane, Sydney
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Influence","Strategic thinking","Business acumen","Stakeholder collaboration"]

Own product analytics end-to-end for UpGuard’s CRPM platform, translating ambiguous product questions into durable KPI definitions, dbt models, and a governed semantic/metrics layer. Partner with Product, Design, Engineering, Operations, and Success to diagnose funnel issues, build self-serve dashboards, and provide adoption and engagement insights that drive retention and growth. Act as the bridge between Product and Sales/CS with trusted health scores and adoption plays.

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FursaFursa
UpGuard
UpGuard
1 day ago

Product Data Science Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Own product analytics end-to-end for UpGuard’s CRPM platform, translating ambiguous product questions into durable KPI definitions, dbt models, and a governed semantic/metrics layer. Partner with Product, Design, Engineering, Operations, and Success to diagnose funnel issues, build self-serve dashboards, and provide adoption and engagement insights that drive retention and growth. Act as the bridge between Product and Sales/CS with trusted health scores and adoption plays.
Location: Melbourne, Brisbane, Sydney
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Generate actionable insights from complex product and usage data to guide roadmap prioritization and engagement strategy.
  • •Define and maintain product KPIs and engagement milestones from activation through ongoing usage, explaining trade-offs and assumptions.
  • •Develop product funnel metrics, models, and dashboards for onboarding, activation, feature adoption, and retention self-service by PMs and feature owners.
  • •Partner with data engineering to build governed semantic/metrics layers using dbt models that humans and AI agents can query reliably.
  • •Translate product usage and engagement signals into adoption plays, health scores, and expansion/renewal risk signals for Sales and Customer Success.

Pay and Benefits

Perks:Lifestyle SubsidyHome OfficeLearning BudgetPaid LeaveParental LeaveRemote WorkAi ToolsEquity

Key Requirements

  • •4+ years delivering analytics solutions for product teams in a high-growth SaaS environment.
  • •Strong product analytics expertise across activation, engagement, feature adoption, and retention, including KPI design and measurement.
  • •Statistical rigor with understanding of significance, confidence, sample size, variance, and noisy/cohort risks.
  • •Ability to translate ambiguous product requirements into well-structured dbt models, clear metric definitions, and actionable insights.
  • •Hands-on understanding of modern data infrastructure and BI tooling (e.g., cloud data warehouses, ETL/ELT, dbt, and visualization tools).
Experience:SaaSProduct analyticsHigh-growth
Skills:CommunicationInfluenceStrategic thinkingBusiness acumenStakeholder collaboration
Tech Stack:DbtBigQueryETLELTThoughtSpotOmniLookerSegmentMixpanelAmplitudeHubSpotSalesforceAILLMs

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

UpGuard
Provides cybersecurity solutions including risk ratings, third-party vendor risk management, and data breach detection to help organizations assess and reduce cyber risk across their digital supply chain.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn