1

Graph Strategy Jobs in Colorado (NOW HIRING)

Solution Architect - AI & Data

Denver, CO · On-site

$173.20 - $270.60/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 ...

Knowledge Modeler / Ontologist Manager

Denver, CO · On-site

$56.25 - $73/hr

... strategies for structured data integration * Collaborate with Entity Extraction / NLP teams on ontology-guided information extraction from unstructured sources * Collaborate with knowledge graph ...

Solution Architect - AI & Data

Denver, CO · On-site

$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 ...

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

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 ...

Senior Staff, Data Engineer

Sterling, CO · On-site

$96K - $131K/yr

Customer 360 is a strategic platform that creates a trusted, intelligent view of our customers ... graph, cache, search, and event-driven patterns. * Partner with product, architecture, data ...

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

Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content ... Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities ...

Senior AI Engineer - SFL Scientific

Denver, CO · On-site

$107K - $147K/yr

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 ...

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

This role sits at the intersection of architecture, data engineering, and platform strategy-owning ... Handson experience with at least one NoSQL database (e.g., keyvalue, document, graph, or column ...

next page

Showing results 1-20

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 25, 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 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 Colorado?

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

What cities in Colorado are hiring for Graph Strategy jobs?

Cities in Colorado with the most Graph Strategy job openings:

Principal Product Manager, Data Products & Integrations

Boulder, CO • On-site

$175K - $200K/yr

Full-time

Posted 7 days ago


Job description

Job Title: Principal Product Manager, Data Products & Integrations
Job Type: Full-time, Hybrid in office in Boulder, CO. We have an in-office culture, with a minimum 3 days in the office (Tues-Thurs).
Reporting To: Senior Director of Product
Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship
ABOUT BRANCHLAB
BranchLab is transforming healthcare commercialization with Pathwai™, the industry's first Semantic Activation Platform. Our AI-native technology helps leading healthcare organizations and their agencies make smarter commercialization decisions and connect patients, providers, and caregivers to life-improving therapies and resources.
Built for the evolving privacy landscape, BranchLab improves commercialization performance without relying on individual-level health information. By modernizing the industry's technical infrastructure, we help organizations operate more efficiently and responsibly while improving how healthcare audiences are understood, reached, and engaged.
BranchLab is helping build a more intelligent, efficient, and responsible model for healthcare commercialization.
THE OPPORTUNITY
We're hiring a Principal Product Manager to lead our data products and integrations strategy. This role will define how BranchLab packages, governs, distributes, and scales identity, audience, activation, and partner-facing capabilities across our platform and ecosystem.
• Own product strategy for high-impact data products, identity graph capabilities, and ecosystem integrations.
• Define how BranchLab's data assets should be packaged, distributed, and measured for customer and commercial impact.
• Partner across Product, Engineering, Data Science, Privacy, Legal, Partnerships, Sales, Customer Success, and Operations to turn strategy into scalable platform capabilities.
• Prioritize roadmap investments based on customer value, revenue opportunity, reuse, privacy risk, implementation complexity, and long-term differentiation.
• Help shape the future of privacy-first healthcare commercialization by building data products that are rigorous, compliant, and designed for real-world use.
KEY RESPONSIBILITIES
You'll serve as the product leader for data products and integrations, bringing product discipline to how BranchLab develops reusable data assets, scales integrations, and delivers measurable value to customers and partners.
Lead data product and identity strategy
Define the strategic direction for BranchLab's identity graph capabilities, audience products, activation workflows, and reusable data assets. Clarify how these capabilities are positioned, differentiated, governed, measured, and incorporated into customer-facing products.
Shape distribution and integration strategy
Determine how data products should reach customers, partners, platforms, APIs, clean rooms, marketplaces, internal systems, and direct customer workflows. Create a product-led integrations roadmap that prioritizes high-value ecosystem connections and reusable integration patterns.
Turn complex data capabilities into scalable products
Manage identity and data products as reusable platform assets with clear customer segments, value propositions, documentation, access models, adoption targets, quality standards, and lifecycle plans. Help determine what should be created, scaled, maintained, consolidated, or retired.
Lead cross-functionally from strategy through adoption
Partner closely with Engineering, Data Science, Privacy, Legal, Partnerships, Sales, Customer Success, and Operations to translate strategy into delivery plans, commercial enablement, partner decisions, and measurable adoption outcomes.
Focus Areas
• Identity graph strategy and product positioning
• Partner and platform integration strategy
• Tokenization, identity resolution, and interoperability models
• Direct integrations with healthcare, media, and activation partners
• Reusable integration patterns, APIs, standards, and observability
• Distribution strategy across platforms, clean rooms, marketplaces, and direct workflows
• Data product packaging, lifecycle management, and commercial enablement
• Privacy-safe product design for regulated healthcare commercialization use cases
REQUIRED SKILLS & EXPERIENCE
  • 8+ years of product management experience, ideally with data-heavy, platform, identity, audience, adtech, martech, healthcare data, or integration products.
    • Demonstrated ability to turn ambiguous data and infrastructure opportunities into clear product strategy, roadmap priorities, and customer-facing value propositions.
    • Strong understanding of data products, APIs, data pipelines, partner integrations, data quality, measurement, and platform scalability.
    • Experience working cross-functionally with engineering, data science, commercial, privacy, legal, and customer-facing teams.
    • Ability to evaluate tradeoffs across customer demand, revenue potential, strategic differentiation, feasibility, privacy risk, operational complexity, and reuse.
    • Strong communication skills, including the ability to represent product strategy in customer, partner, executive, and go-to-market conversations.
    • High-agency working style with comfort operating in fast-paced environments where priorities evolve and structure is still being built.
    • Commitment to building rigorous, privacy-safe products for regulated healthcare commercialization use cases.

PREFERRED QUALIFICATIONS
  • Experience with identity resolution, graph products, tokenization, audience activation, clean rooms, or healthcare media measurement.
    • Familiarity with healthcare commercialization, pharmaceutical marketing, regulated data environments, or privacy-preserving data collaboration.
    • Experience building partner ecosystems, integration marketplaces, self-serve APIs, or reusable platform capabilities.
    • Comfort translating technical data concepts into commercial narratives, enablement materials, and executive-level recommendations.
    • Experience defining product success metrics across adoption, revenue influence, quality, match rate, latency, support burden, and customer outcomes.

WHAT SUCCESS LOOKS LIKE
• You establish an approved strategy and roadmap for data products, identity graph capabilities, and integrations.
• You increase adoption of prioritized data products across customers, partners, and internal teams.
• You create clearer packaging, positioning, and distribution models that support new and expanded commercial opportunities.
• You reduce duplicative or one-off integration work through reusable standards, patterns, and prioritization frameworks.
• You improve visibility into data product performance through usage, quality, latency, match rate, support, and customer outcome metrics.
• You build a clear governance model for data product lifecycle decisions, including launch, scale, maintenance, consolidation, and retirement.
WHY JOIN BRANCHLAB?
  • Competitive Salary & Comprehensive Benefits
  • Small, Agile Team - Your work will have a direct impact
  • Equity Opportunities - Grow with the company