Executive Director, Data & AI

Job Summary

Revance is building an Intelligence Platform that will serve as the single source of truth for insights, recommendations, and knowledge across the company. We are seeking a Data & AI leader to lead this transformation. This role leads the intelligence engine of the company, transforming siloed data into a self‑enforcing AI flywheel that powers real‑time decisions, drives revenue, and widens our competitive moat.

You will own the full arc from data foundation to business reporting to actionable intelligence: ingesting data from dozens of sources, resolving entities into a connected intelligence layer, powering AI and ML models on top, and delivering Next Best Actions that drive measurable commercial outcomes across both B2B (practices) and B2C (consumers). You will create clarity of intelligence, ensuring every insight is trusted, explainable, and directly tied to growth.

• Reporting to:
  Chief Technology Officer
• Location:
  
  Nashville, TN or Dallas, TX – onsite required

• Execute the Revance Intelligence strategy as the enterprise knowledge and insight hub across Sales, Marketing, Commercial, Loyalty, and Product
• Design and operationalize the AI flywheel: more data → better models → smarter actions → better outcomes → more data. Ensure every cycle compounds competitive advantage
• Translate business goals (growth, retention, cross‑sell, portfolio expansion) into a sequenced intelligence roadmap with measurable topline impact
• Establish clarity of intelligence: unified data → unified semantics → trusted insights → automated action → revenue lift

• Deliver AI‑powered engines:
  Lead Scoring, Next Best Action, Cross‑Sell, Churn Prediction, Real‑Time Offers, Personalization, and Propensity Models
• Connect B2B practice intelligence with B2C consumer intelligence through the knowledge graph, enabling insights no competitor can replicate
• Embed intelligence directly into commercial workflows (Salesforce OCE, ordering, loyalty CRM, digital platforms, Find a Provider) so insights drive action at the point of decision
• Tie every intelligence output to measurable outcomes: AOV, conversion, retention, share of wallet, pipeline velocity

• Design a modern data architecture that goes beyond Snowflake as a warehouse, incorporating knowledge graphs, entity resolution, vector databases, feature stores, and graph‑based reasoning to create a connected intelligence layer
• Build and maintain the entity graph connecting practices, providers, consumers, products, treatments, competitors, territories, and transactions with rich, queryable edges
• Own the semantic layer and metrics governance: consistent business definitions, reusable governed metrics, and decoupled business logic enabling self‑service analytics and AI consumption
• Ensure platform scalability, reliability, governance, cost efficiency, and explainability at every layer

• Define and build the lean Revance AI & Insights team and define collaboration and working models with the data engineering team
• Lead and coordinate strategic vendors, ensuring all work aligns with long‑term architecture, not just short‑term deliverables. Transition critical capabilities in‑house over time
• Establish a culture of outcome‑driven intelligence, not report generation. Every model, metric, and pipeline must trace to business impact
• Own data governance, quality, lineage, observability, and compliance across B2B/B2C data, including AI guardrails (bias checks, human‑in‑the‑loop, auditability)

• 10+ years in data, analytics, and AI, with at least 5+ years leading data or AI teams
• Proven track record of building data flywheels or compounding intelligence systems that directly drove revenue growth, ideally in B2B, B2C, or B2B2C environments
• Experience translating data strategy into executive narratives and cross‑functional alignment; ability to make complex concepts intuitive for non‑technical leaders
• Track record of building and scaling high‑performing teams (data…