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Graph Strategy Jobs in Pennsylvania (NOW HIRING)

BNY

Knowledge Graph Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

We are seeking a Knowledge Graph Engineer to join our Data Innovation team. In this role, you will ... strategy. This role is located in Pittsburgh, PA or Lake Mary, FL. In this role, you'll make an ...

BNY Mellon

Knowledge Graph Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

We are seeking a Knowledge Graph Engineer to join our Data Innovation team. In this role, you will ... strategy. This role is located in Pittsburgh, PA or Lake Mary, FL. In this role, you'll make an ...

CGI Inc.

Neo 4J Software Development Lead

Pittsburgh, PA · On-site

$112K - $141K/yr

Design and implement Neo4j architecture models including clustering, indexing strategies, query optimization, caching, and high-availability deployments to support large-scale graph workloads and ...

CGI

Neo 4J Software Development Lead

Pittsburgh, PA · On-site

Design and implement Neo4j architecture models including clustering, indexing strategies, query optimization, caching, and high-availability deployments to support large-scale graph workloads and ...

Varsity Tutors

ACT Science Tutor

Harrisburg, PA · 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 ...

Varsity Tutors

ACT Science Tutor

Allentown, PA · 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 ...

Varsity Tutors

ACT Science Tutor

Chester, PA · 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 ...

Varsity Tutors

ACT Science Tutor

Pittsburgh, PA · 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 ...

Varsity Tutors

ACT Science Tutor

Reading, PA · 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 ...

Varsity Tutors

ACT Science Tutor

Erie, PA · 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 ...

Varsity Tutors

ACT Science Tutor

State College, PA · 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 ...

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All JobsGraph Strategy JobsGraph Strategy Jobs in Pennsylvania

Graph Strategy information

See Pennsylvania salary details

$55.6K

$125K

$218K

How much do graph strategy jobs pay per year?

As of Aug 25, 2026, the average yearly pay for graph strategy in Pennsylvania is $124,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $157,900.00 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 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 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 popular job titles related to Graph Strategy jobs in Pennsylvania?

For Graph Strategy jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Graph Strategy jobs in Pennsylvania look for?

The top searched job categories for Graph Strategy jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Graph Strategy jobs?

Cities in Pennsylvania with the most Graph Strategy job openings:

Graph Strategy jobs near you
Infographic showing various Graph Strategy job openings in Pennsylvania as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,958 per year, or $60.1 per hour.

Enterprise Solutions Graph Database

Collegeville, PA • On-site

H R PUNDITS INC
See more jobs at H R PUNDITS INCexternal

Full-time

Re-posted 24 days ago

Job description

Job title : Enterprise Solutions Graph Database/ Architect
 Location: Upper Providence Township, PA
 (Onsite/Remote )
 Experience : 15 Years
Role Overview
 Seeking a seasoned Graph Database
 Knowledge Graph Expert to perform a comprehensive study of our existing platform. Evaluate our current architecture, data ontology, and query performance to provide a strategic roadmap. The goal is to evolve our Knowledge Graph into a robust, scalable engine that accelerates different Pharma areas ( drug discovery, clinical insights, and cross-departmental data democratization)
 
Required Qualifications
 Graph Expertise: 10+ years of experience with Graph Databases. Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores.
 Pharma Domain Knowledge: Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys).
 Semantic Web Standards: Strong understanding of Linked Data principles, URI strategies, and ontology modeling.
 Data Engineering: Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources.
 Advanced Analytics: Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning.
 Technical Stack Preferences
 Graph DBs: AnzoGraph, Neo4j, Stardog,
 Languages: Python, Java, SPARQL, Cypher, or Gremlin.
 Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.