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Graph Strategy Jobs (NOW HIRING)

Mendix

Principal Presales Consultant - Knowledge Graph

$135K - $270K/yr

Your Role Lead discovery of customer AI/data ecosystems , assess AI/ML maturity, and uncover strategic opportunities Position Siemens' Knowledge Graph platform as the foundation for enterprise-grade ...

Wells Fargo

Lead Graph Data Engineer

Iselin, NJ

$104K - $137K/yr

... strategy. In this role, you will: * Lead complex initiatives with broad impact and act as key ... Graph database design Neo4j or similar Desired Qualifications: * Fraud Technology experience

Adobe, Inc.

Director of Engineering, Graph

San Jose, CA · On-site

$296K/yr

The Opportunity We're building Graph, a node-based creative platform that is simultaneously a ... Operates at both strategy and execution levels, capable of writing a technical brief and unblocking ...

Wells Fargo

Lead Graph Data Engineer

Charlotte, NC · On-site

$100K - $131K/yr

... strategy. In this role, you will: * Lead complex initiatives with broad impact and act as key ... Graph database design Neo4j or similar Desired Qualifications: * Fraud Technology experience

Typeface

Sr. Staff Product Manager-Arc Graph

Bellevue, WA · Hybrid

$195K - $245K/yr

Product strategy for the Arc Graph: Define the long-term vision and roadmap for the intelligence layer that powers Typeface and build innovative 0 > 1 solutions for the enterprise marketers and ...

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Graph Strategy information

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$55.5K

$124.7K

$217.5K

How much do graph strategy jobs pay per year?

As of Jun 7, 2026, the average yearly pay for graph strategy in the United States is $124,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What is a Graph Strategy job?

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 professional in Graph Strategy 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.
More about Graph Strategy jobs
What cities are hiring for Graph Strategy jobs? Cities with the most Graph Strategy job openings:
What states have the most Graph Strategy jobs? States with the most job openings for Graph Strategy jobs include:
What job categories do people searching Graph Strategy jobs look for? The top searched job categories for Graph Strategy jobs are:
Graph Strategy jobs near you
Infographic showing various Graph Strategy job openings in the United States as of May 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $124,659 per year, or $59.9 per hour.
Principal Presales Consultant - Knowledge Graph

Principal Presales Consultant - Knowledge Graph

Mendix

Charleston, WV • Remote

Full-time

Posted 24 days ago

Job description

Mendix is a low-code app development platform:

First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that “by 2024, low-code application development will be responsible for more than 65% of application development activity.”
 
Mendix, the global leader in enterprise low-code, is fundamentally reinventing the way applications are built. The Mendix platform was created to promote collaboration between Business & IT teams so that an entire organization can participate in the application development process. With Mendix, thousands of forward-thinking companies around the world like Ford Auto, Zurich Insurance, Freshfields, and Red Bull, can unleash their best ideas quickly. 
  
Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant. 
 
Mendix is a Siemens Business:
 
Siemens is a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens’ unbeatable legacy and resources. 
 

Principal Presales Consultant – Digital, Data, Analytics & AI
 
Siemens Digital Industries Software
Siemens is redefining how enterprises turn data into action. By combining Mendix low-code applications with advanced data, analytics, and AI platforms, Siemens enables organizations to move from insights to AI-driven operational impact at scale.
With the 2025 acquisition of Altair Graph Studio, Siemens now offers a Knowledge Graph platform that integrates, models, and reasons over complex data to power Generative AI, Agentic AI, and autonomous systems.
We are seeking a Principal Presales Consultant to help customers navigate enterprise AI transformation, connecting business challenges to Siemens’ end-to-end digital, data, and AI capabilities.
 
Your Role
Lead discovery of customer AI/data ecosystems, assess AI/ML maturity, and uncover strategic opportunities
Position Siemens’ Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI
Demonstrate how Graph Studio & Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable intelligent automation
Connect Mendix applications to data and AI foundations for rapid, impactful solutions
Advise C-suite and technical stakeholders on data-to-AI strategy and roadmap
 
What You Bring
Presales, sales engineering, solution architecture, or technical consulting experience
Strong understanding of modern data platforms, analytics, and AI/ML pipelines
Ability to influence executives and guide enterprise-scale AI adoption
Comfort across cloud, data, AI, and application architectures
 
Bonus / Nice-to-Have:
Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics
Exposure to RAG, Agentic AI, or enterprise GenAI deployments
 
Why This Role at Siemens
From Data to Action: Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI
Semantic AI Foundation: Knowledge Graphs ensure trust, context, and explainability for enterprise AI
Industrial & Enterprise Scale: Apply AI in mission-critical environments where reliability matters
Strategic Influence: Guide enterprise AI adoption at the architectural and executive level
 
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
 
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
 
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
 
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.