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Graph Strategy Jobs in Colorado (NOW HIRING)

SEO/AEO Consultant

Denver, CO · Remote

$22 - $35/hr

Strengthen brand authority through entity-based optimization and knowledge graph strategies. * Partner with content and digital teams to apply E-E-A-T best practices across search initiatives.

Senior NoSQL Technical Specialist

Boulder, CO · On-site

$103K - $141K/yr

... strategies, migrations, and applications Responsibilities: * Delivery of distributed NoSQL solutions, including multi-model architectures combining document, graph, and time-series capabilities

... strategies, migrations, and applications Responsibilities: * Delivery of distributed NoSQL solutions, including multi-model architectures combining document, graph, and time-series capabilities

... strategies, migrations, and applications Responsibilities: * Delivery of distributed NoSQL solutions, including multi-model architectures combining document, graph, and time-series capabilities

Solution Architect - AI & Data

Denver, CO

$64.75 - $85.50/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Solution Architect - AI & Data

Denver, CO · On-site +1

$64.75 - $85.50/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Senior Staff, Data Engineer

Sterling, CO

$96K - $131K/yr

Customer 360 is a strategic platform that creates a trusted, intelligent view of customers across ... Work across relational, NoSQL, graph, cache, search, and event-driven data patterns. Partner with ...

Strategic Partners: Partners include J.P. Morgan, SEI, Franklin Templeton, Morningstar, FactSet ... Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning

Software Engineer

Boulder, CO · On-site

$125K - $180K/yr

Designing mitigation and fallback strategies for systems. * Architecting, designing, and ... Experience implementing custom factors for factor graph optimization. * 5+ years of software ...

... strategies • Partner with product, design, and engineering teams to translate business ... graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory. • ...

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments ... Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL ...

Powered by the Gong Revenue Graph, AI‑powered intelligence, specialized agents, and trusted ... Strategy & Scale: Define and evolve the Revenue Architecture strategy, operating model, and ...

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Graph Strategy information

See Colorado salary details

$58.4K

$131.1K

$228.7K

How much do graph strategy jobs pay per year?

As of Aug 4, 2026, the average yearly pay for graph strategy in Colorado is $131,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $165,600.00 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 Colorado? For Graph Strategy jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Graph Strategy jobs in Colorado look for? The top searched job categories for Graph Strategy jobs in Colorado are:
What cities in Colorado are hiring for Graph Strategy jobs? Cities in Colorado with the most Graph Strategy job openings:

SEO/AEO Consultant

Horizontal Talent

Denver, CO • Remote

$22 - $35/hr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We’re looking for an SEO/AEO Consultant to support multiple client engagements and help drive search visibility across traditional SEO, AI search, and emerging answer-engine experiences. This is a remote opportunity for a hands-on strategist who enjoys working in a fast-paced agency environment and partnering with cross-functional teams to deliver measurable results.

Responsibilities
  • Lead search strategy across SEO, AEO, and AI search optimization to support full-funnel growth.
  • Develop approaches for AI Overviews, featured snippets, People Also Ask results, zero-click experiences, and conversational search queries.
  • Strengthen brand authority through entity-based optimization and knowledge graph strategies.
  • Partner with content and digital teams to apply E-E-A-T best practices across search initiatives.
  • Optimize content and technical elements for generative search environments and LLM discovery platforms.
  • Build structured data and schema recommendations to improve visibility in rich results and AI summaries.
  • Monitor search and AI trends, then adjust strategies to stay ahead of algorithm changes and market shifts.
  • Perform technical, content, competitive, local, and app SEO audits and present actionable insights.
  • Create functional SEO specifications and work with developers through implementation, QA, and UAT.
  • Conduct keyword, topic cluster, and entity research to guide scalable content planning.
  • Identify opportunities for content optimization, consolidation, pruning, and authority building.
  • Collaborate with paid media, analytics, UX, product, and development teams to improve search performance.
  • Present recommendations and performance insights to internal teams and client stakeholders.
  • Develop measurement and reporting approaches that track SEO, AEO, zero-click performance, and AI search visibility.
  • Use automation tools, APIs, AI workflows, and advanced spreadsheet or scripting skills to improve efficiency.
  • Manage deliverables and timelines in project management systems while balancing priorities across multiple accounts.
Skills
  • 3+ years of experience supporting SEO for enterprise or large-scale brands.
  • Strong hands-on experience with Google Search Console and SEMrush.
  • Practical experience with AEO and AI-driven search optimization.
  • Solid understanding of structured data, schema implementation, entity optimization, and knowledge graph strategy.
  • Knowledge of E-E-A-T principles and authority-building tactics.
  • Ability to analyze data and turn insights into clear, business-focused recommendations.
  • Experience working in a client-facing or agency environment with cross-functional teams.
  • Strong communication skills with the ability to present to stakeholders at different levels.
  • Comfort managing multiple priorities and deadlines in a contractor role.
  • Familiarity with automation tools, APIs, and AI-powered workflows.
Preferred Skills
  • Experience with additional SEO platforms such as Ahrefs, Screaming Frog, Lumar, Yext, Lighthouse, and Google Business Profile.
  • Background in developing SEO recommendations for technical enhancements and content strategy.
  • Experience supporting enterprise brands in an agency setting.
  • Working knowledge of reporting and visualization tools for performance communication.
  • Ability to collaborate effectively across marketing, analytics, UX, product, and development teams.
  • Bachelor’s degree in Marketing, Advertising, Computer Science, Information Technology, or a related field.

Horizontal Talent is committed to fostering a welcoming, inclusive, and respectful environment where people of all backgrounds can thrive. We value diversity, equity, and inclusion as core principles and welcome candidates who bring different perspectives, experiences, and ideas.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $35 per hour based on qualifications and experience.