1

Graph Strategy Jobs in Coppell, TX (NOW HIRING)

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 Strategy & Reasoning - Spearheaded enterprise graph strategy to move beyond relational constraints, architecting high-scale knowledge graphs and entity resolution frameworks that power complex ...

Neo4J Developer

Plano, TX ยท On-site

$48.75 - $63.25/hr

Neo4J, Tiger Graph, Graph Database (Java or Scala or Python) Bachelor's or master's degree in ... Ensure the point-solution architectures are in line with the enterprise strategies and principles ...

In this role, you will lead the technical strategy and implementation of knowledge graph systems, automated content generation workflows, semantic data platforms, and intelligent content delivery ...

AI Engineer

Dallas, TX ยท On-site

... Graph design and implementation -- Neo4j, RDF, SPARQL, and graph-based reasoning for AI ... strategies (OpenAI Embeddings, Sentence Transformers) Strong understanding of data pipelines ...

AI Engineer

Dallas, TX ยท On-site

Proficient in Knowledge Graph design and implementation - Neo4j, RDF, SPARQL, and graph-based ... Experience with vector search , semantic similarity, and embedding strategies (OpenAI Embeddings ...

Strategic Account Executive, Texas

Dallas, TX ยท On-site

$300K - $350K/yr

Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content ... Glean is seeking a Strategic Account Executive to drive new business and growth within our largest ...

ACT Science Tutor

Fort Worth, TX ยท Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

ACT Science Tutor

Dallas, TX ยท Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

ACT Science Tutor

Carrollton, TX ยท Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

ACT Science Tutor

Arlington, TX ยท Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

ACT Science Tutor

Plano, TX ยท Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

Strong understanding of advanced retrieval techniques including Graph RAG, hybrid search, knowledge-grounded AI systems, embeddings, vector search, and semantic retrieval strategies * Bachelor's in ...

ACT Science Tutor

Grand Prairie, TX ยท Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

next page

Showing results 1-20

Graph Strategy information

See Coppell, TX salary details

$51.6K

$115.9K

$202.2K

How much do graph strategy jobs pay per year?

As of Aug 5, 2026, the average yearly pay for graph strategy in Coppell, TX is $115,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $146,400.00 per year, depending on experience, location, and employer.

What is a graph strategy?

A Graph Strategy job typically involves working with graph databases or technologies to analyze and model complex relationships among data points. Professionals in this role develop strategies for leveraging graph structures to solve business problems, such as optimizing network connections, detecting fraud, or improving recommendation systems. They often collaborate with data scientists, engineers, and business stakeholders to design, implement, and maintain graph-based solutions. This job requires strong analytical skills, a deep understanding of graph theory, and experience with graph database technologies like Neo4j. The goal is to extract valuable insights from interconnected data to drive strategic decisions.

How does a graph strategy professional typically collaborate with data engineers and business analysts within an organization?

A Graph Strategy professional often acts as a bridge between technical teams (like data engineers) and business stakeholders (such as business analysts). They work closely with data engineers to design and optimize graph databases or knowledge graphs, ensuring that the underlying data structures support business needs. Simultaneously, they partner with business analysts to identify use cases, interpret data relationships, and translate business questions into graph queries or visualizations. This role requires both technical understanding and strong communication skills to align data assets with strategic business objectives.

What is the difference between Graph Strategy vs Data Analyst?

AspectGraph StrategyData Analyst
Required CredentialsOften requires knowledge of data visualization, analytics tools, and strategic planningTypically requires a degree in statistics, mathematics, or related fields; proficiency in Excel, SQL, and data analysis software
Work EnvironmentStrategic planning sessions, data visualization projects, cross-department collaborationData collection, cleaning, analysis, reporting, and presenting insights
Employer & Industry UsageUsed in marketing, finance, and tech companies for strategic decision-makingCommon in business, finance, healthcare, and tech sectors for data-driven insights

While both roles involve working with data, Graph Strategy focuses on creating visual data representations to inform strategic decisions, whereas Data Analysts primarily analyze data sets to generate actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

What are the key skills and qualifications needed to thrive as a graph strategy professional, and why are they important?

To thrive as a Graph Strategy professional, you need a strong background in mathematics, data analysis, and graph theory, often supported by a degree in computer science, mathematics, or a related field. Familiarity with graph databases (e.g., Neo4j), data visualization tools, and relevant programming languages like Python or Cypher is typically required. Strategic thinking, problem-solving, and effective communication are essential soft skills for translating complex data insights into actionable business strategies. These skills enable professionals to leverage graph structures for advanced analytics, driving informed decisions and competitive advantage.
What are popular job titles related to Graph Strategy jobs in Coppell, TX? For Graph Strategy jobs in Coppell, TX, the most frequently searched job titles are:
What job categories do people searching Graph Strategy jobs in Coppell, TX look for? The top searched job categories for Graph Strategy jobs in Coppell, TX are:
What cities near Coppell, TX are hiring for Graph Strategy jobs? Cities near Coppell, TX with the most Graph Strategy job openings:
Infographic showing various Graph Strategy job openings in Coppell, TX as of July 2026, with employment types broken down into 2% Locum Tenens, 65% Full Time, 30% Part Time, and 3% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $115,893 per year, or $55.7 per hour.

Executive Director, Data & AI

Revance

Dallas, TX โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Job description

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 โ†’ unified semantics โ†’ trusted insights โ†’ automated action โ†’ 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.