Graph Strategy Jobs in Allen, TX (NOW HIRING)

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 modernization of the enterprise data platform to create an AI-ready environment; championed integration of generative AI capabilities directly into the data core
• Unified Intelligence Architecture - Architected a unified intelligence layer integrating vector databases, feature stores, and LLM-powered agentic workflows, enabling rapid deployment of production-grade AI across the organization
• Operational Excellence (DataOps/MLOps) - Orchestrated world-class DataOps and MLOps practices, leveraging Python, dbt, and modern orchestration (Airflow/Dagster) to establish a resilient, automated CI/CD pipeline for high-velocity data delivery and model management

Domain & Commercial Intelligence

• Experience operationalizing 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

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

Company Summary:

Revance is a global company developing, producing, and distributing industry-leading, differentiated products across aesthetics, skincare, and therapeutics. Revance drives innovation beyond convention to offer treatment options for individuals across generations. The Company's vision is to redefine excellence in aesthetics, skincare, and therapeutics through science-powered innovation, with an unwavering commitment to its providers, patients, and consumers. Revance's award-winning products are the result of robust research and development, a cornerstone for the Company, driven by renowned scientists. For more information about Revance, please visit us at www.revance.com.
What Revance invests in you:

• Competitive Compensation including base salary and annual performance bonus.
• Flexible PTO, holidays, and parental leave.
• Generous healthcare benefits, HSA match, 401k match, employer paid life and disability insurance, pet insurance, wellness discounts and much more!

This section of the job description is required by the American with Disability Act (ADA). The ADA requires that job descriptions reflect the physical and mental demands required to effectively perform the essential duties of the job. The ADA prohibits employers from discriminating against a "qualified individual with a disability" in all aspects of the employment relationship. A "qualified individual with a disability" is "an individual who meets the education, experience, skill, and other job-related requirements of a position held or desired, and who, with reasonable accommodation, can perform the essential functions of a specified job."

Revance is an Equal Opportunity employer. All qualified applicants will receive consideration for employment based on merit, without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.