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Job Summary: We are building an Intelligence Platform to 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. 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 that drive measurable commercial outcomes across both practice-level (B2B) and consumer-level (B2C) touchpoints. 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  or Remote What You’ll Do: Execute the Intelligence Vision & Strategy Execute the enterprise intelligence strategy as the knowledge and insight hub across the Revance portfolio Design and operationalize a self-reinforcing intelligence system where better data produces better models, smarter actions, and improved outcomes Translate business goals into a sequenced intelligence roadmap with measurable topline impact Establish clarity of intelligence: unified data → unified semantics → trusted insights → automated action → revenue lift Power Commercial Intelligence & Growth Engines Deliver AI-powered engines that can operate at scale Embed intelligence directly into commercial workflows (CRM, ordering, loyalty, digital platforms) so insights drive action at the point of decision Tie intelligence output to measurable outcomes: AOV, conversion, retention, share of wallet, pipeline velocity Architect a Scalable Intelligence Platform Design a modern data architecture incorporating knowledge graphs, entity resolution, vector databases, feature stores, and graph-based reasoning to create a connected intelligence layer Build and maintain an entity graph connecting components across the ecosystem 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   Build & Lead the Intelligence Organization Define and build the AI & Insights team and establish collaboration models with the data engineering function 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 all data domains, including AI guardrails (bias checks, human-in-the-loop, auditability) What You’ll Bring: Strategic & Leadership 10+ years in data, analytics, and AI, with at least 5+ years leading data or AI teams Proven track record of building 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 engineering, data science, analytics) from early stage to mature function Technical Architecture & Execution Graph Strategy & Reasoning — Spearheaded enterprise graph strategy to move beyond relational constraints, architecting high-scale knowledge graphs and entity resolution frameworks that power complex graph-based reasoning for deep business insights Platform Leadership & Intelligence — Led moder