Executive Director, Data & AI

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 that connects data across many sources into a coherent, well-modeled intelligence layer
• 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 & Data Engineering team and establish collaboration models with other stakeholders
• 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 - 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/ML 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

• Platform Leadership & Intelligence — Led modernization of the enterprise data platform to create an AI-ready environment; championed integration of ML/LLM capabilities directly into the data core
• Unified Intelligence Architecture — Built a unified data layer that brings signals from many different source systems together into a single, trusted source of truth, creating the foundation that analytics and AI/ML models run on.
• Operational Excellence (DataOps/MLOps) — Established disciplined DataOps and MLOps practices, with automated, well-tested pipelines that deliver data reliably and keep models monitored and maintained once they are in production.

Domain & Commercial Intelligence

• Experience operationalizing AI enabled recommendation systems at scale with measurable commercial lift
• Background in healthcare, life sciences, retail, or regulated industries is a strong plus
• Understanding of loyalty ecosystems, CRM intelligence, and omnichannel personalization is a plus

Basic Qualifications

• Doctorate degree & 5 years of directly related experience
• OR
• Master’s degree & 7 years of directly related experience
• OR
• Bachelor’s degree & 9 years of directly related experience