Director, Product Analytics

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues, and destinations to help them grow their group/MICE and corporate travel business.

Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

Director, Product Analytics

Reports to:

Head of Analytics, Matrixed to Chief Product Officer

Why this role exists
Cvent is scaling its product analytics capability to serve a large, multi‑product portfolio (Attendee Hub, Registration/Event Management, OnArrival, Marketplace/CSN, Exhibitor Solutions, and Cvent Essentials). We need a senior leader to build the  operating system for product analytics —from metric contracts and instrumentation to a governed semantic layer and self‑serve insights—so teams can move from  question → decision  in minutes, not weeks.

What you will own

Metric Contracts & Semantic Layer:  Define and govern product KPIs and their lineage (adoption, activation, engagement, feature usage, time‑to‑value,  Events Under Management (EUM) , retention) and tie them directly to commercial outcomes ( GRR/NRR , expansion, contraction).
Instrumentation Engineering:  Standards, naming/versioning, tracking plans, CI checks, coverage dashboards, and error budgets for data quality (freshness, accuracy, completeness).
Self‑Serve Insights & Enablement:  A scalable, governed self‑serve model (standard dashboards + explores), data literacy curriculum, office hours, and durable documentation.
Identity & Data Design:  User/account identity resolution across web, mobile, onsite devices (e.g., badge printers/kiosks), and partner integrations; deterministic keys and join strategies.
Analytics Operating Cadence:  Monthly decision readouts, portfolio‑level rollups, and “What We Learned” syntheses that change roadmaps and bet sizing.
Tooling Strategy & TCO:  Rationalize and integrate the analytics stack (product analytics, BI/semantic layer, observability, feature flags); drive buy‑vs‑build decisions and vendor governance.
Team & Org Design:  Work closely with leaders / managers who can run Platform & Instrumentation, Decision Science, and Insights & Enablement. Establish clear interfaces with Data Engineering, Security/Privacy, PMM, CS, and UXR.

Note on experiments:  While experimentation isn’t the primary focus today, you will establish right‑sized guardrails and a playbook (e.g., A/B where feasible, holdouts, basic power/MDE guidance, SRM detection) so the org is future‑ready without over‑rotating now.

What you’ll do

Publish the  Cvent Product Metrics Charter  (north stars, driver trees, metric definitions, ownership, SLA for freshness) and keep it current.
Stand up  tracking plans  and CI checks tied to PRDs; reach high instrumentation coverage for critical flows across products.
Build a  governed semantic layer  and standard portfolio dashboards that roll up by product, persona, and account.
Launch a  data literacy program  (workshops, office hours, docs) to drive confident self‑serve use by PMs, PMM, UX, CS, and leaders.
Partner with  Data Engineering  on data contracts, dbt models, observability, cost management, and access controls; partner with  Security/Legal  on PII, retention, and privacy‑by‑design.
Operationalize  account‑level analytics  (seats/licenses, feature entitlements, health scoring, expansion/contraction funnels) with explicit links to GRR/NRR.
Produce  decision‑quality narratives  (not just dashboards): monthly “What we learned,” portfolio scorecards, and ad‑hoc deep dives for exec forums.
Hire, coach, and retain a high‑performing team; set career paths, operating rhythms, and quality bars.

Qualifications

Must‑have
15+ years in  product analytics/decision science  for enterprise or B2B SaaS; 4+ years leading managers and building multi‑disciplinary teams.
Proven…