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Graph Strategy Jobs (NOW HIRING)

Adobe

Principal Product Manager, Graph

Seattle, WA

Establish the long-term vision and strategy for the Graph platform, encompassing the plugins, APIs, extensibility, and interoperability across products and surfaces for both internal teams and ...

Adobe

Principal Product Manager, Graph

Seattle, WA · On-site

Establish the long-term vision and strategy for the Graph platform, encompassing the plugins, APIs, extensibility, and interoperability across products and surfaces for both internal teams and ...

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 ...

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 ...

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All JobsGraph Strategy Jobs

Graph Strategy information

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$55.5K

$124.7K

$217.5K

How much do graph strategy jobs pay per year?

As of Jul 1, 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:
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Graph Strategy jobs near you
Infographic showing various Graph Strategy job openings in the United States as of June 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.
Knowledge Graph Software Engineer - Clearance Required

Knowledge Graph Software Engineer - Clearance Required

BTI360

Herndon, VA • On-site

Full-time

Posted yesterday

Job description

Job Summary:
BTI360 is a company focused on developing software engineers and has been recognized as a top workplace. They are seeking a Knowledge Graph Software Engineer to transform raw data into meaningful insights using AI technologies and to lead the development of knowledge graphs and databases.
Responsibilities:
• Lead end-to-end knowledge graph and knowledge base development efforts from problem definition to production, designing pipelines that extract, normalize, link, and organize information into scalable graph-based systems.
• Design and evaluate extraction and resolution workflows using sound methodologies and fit-for-purpose metrics to assess entity extraction, linking, relationship quality, and overall knowledge base completeness and accuracy.
• Translate business requirements into quantitative problems and communicate technical findings to both technical and non-technical stakeholders through reports, presentations, and direct customer engagement.
• Drive technical decision-making for schema design, ontology alignment, extraction approaches, and graph architecture based on mission needs, data quality, and long-term maintainability.
• Stay current with advances in knowledge representation and information extraction and introduce practical techniques, tools, and frameworks that improve graph construction, curation, and analytic value.
• Apply analytical and statistical methods to validate extracted insights, measure data quality, and support confident decision-making from structured and unstructured sources.
• Develop reports and whitepapers that evaluate solution alternatives based on impact, cost, technical feasibility, and alignment with strategic goals.
• Collaborate across teams to align on strategy, provide data science expertise, and contribute to proposals and strategic initiatives.
• Mentor junior data scientists by providing technical guidance, defining project direction, and sharing best practices in graph-oriented data modeling, extraction workflows, and knowledge base stewardship.
Qualifications:
Required:
• Active Security Clearance (Secret or higher) or the ability to obtain one
• Hands-on experience with graph databases such as Amazon Neptune, Neo4j, or related graph technologies.
• Experience designing and implementing scalable, maintainable, and OOP based software in a containerized cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking.
• Experience developing backend services using Java and the Spring/Spring Boot framework (or similar relevant Java framework)
• Familiarity with API standards such as REST and HTTP, message-driven architectures, persistent storage layers, and distributed systems
• Effective written and verbal communication skills necessary to perform job duties and collaborate with team members
• Candidates must maintain a primary residence within a two hour drive of Herndon, VA to support onsite collaboration as needed.
Preferred:
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS CodeBuild (preferred), Jenkins, GitLab CI, or GitHub Actions
• Experience with testing frameworks such as Junit (preferred), Mockito, or Spring Runner
• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
• Experience with search technologies such as OpenSearch (preferred), Elasticsearch, or Solr
• Experience working with streaming or event-driven architectures such as SNS/SQS (preferred), Kafka, Kinesis, AWS Step Functions, or Event Bridge
• Familiarity with monitoring and observability stacks including OpenTelemetry, Splunk (preferred), Prometheus/Grafana, or CloudWatch
Company:
BTI360 develops and delivers big data software solutions to minimize the time spent on research and utilize time providing insights. Founded in 2004, the company is headquartered in Ashburn, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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