Director, Knowledge Graph & Semantics

Vertex Pharmaceuticals Inc (US); Boston (MA); Hybrid; USD 216,000 - 325,000; Full time

Benefits offered by this job

Hybrid work policy

Job summary

Vertex is hiring an experienced engineering leader to build and operate the enterprise Knowledge Graph and semantic layer, unifying Vertex's data across clinical, research, regulatory, and commercial domains. The Director will define strategy, select technology, and lead a team delivering a traversable model for AI agents and analytics.

You will collaborate with ontology, data modeling, and application teams to onboard systems and ensure production readiness, reliability, and governance across

Qualifications

• 10+ years of experience in data engineering, AI/ML, or advanced analytics with focus on knowledge graphs and semantic technologies.

Responsibilities

• Design, build, and operate Vertex's enterprise knowledge graph across clinical, research, regulatory, and commercial domains.
• Define the vertex's strategy for graph and semantic platform, including technology selection and architecture.
• Partner with ontology and data modeling teams to translate domain ontologies into the graph.
• Lead graph traversal and retrieval interfaces for AI agents and analytics.

Skills

Knowledge Graph

Semantic Layer

Graph Databases

Cross-Domain Data

AI & RAG

Leadership & Communication

Pharma/Life Sciences Context

Regulated Environment

Graph Query Languages

LLM Integration with Graphs

Tools

Cypher

SPARQL

Gremlin

GQL

Job description

Job Description

We are seeking an experienced engineering leader to build and operate Vertex's enterprise Knowledge Graph and Semantic Layer: the unified, navigable representation of Vertex's data, concepts, and relationships that AI agents and analytical systems traverse to reason over our business. Vertex Pharmaceutical’s is in a transformational period, and the AI team is at the center of our AI-first strategy, delivering AI solutions that empower executives, researchers, and business users to make faster, more confident decisions. As part of the Vertex Data Engineering team, you will lead the Knowledge Graph & Semantics function within Knowledge & Grounding. Your team builds the graph that connects Vertex across clinical, research, regulatory, and commercial domains, and the AI semantic layer that defines the business meaning, metrics, and dimensions that sit on top of it. The capability you build becomes the substrate that AI agents traverse to ground their reasoning, and that analytical systems use to answer cross-domain questions consistently across the enterprise. As the Director of Knowledge Graph & Semantics, you will define the graph and semantic strategy for Vertex, select the underlying technology stack, and lead the engineering team that brings it to life. The capability you build will accelerate every downstream AI and analytics initiative at Vertex by giving them a single, governed, traversable model of how Vertex's data fits together.

Key Duties and Responsibilities

• Enterprise Knowledge Graph. Design, build, and operate Vertex's enterprise knowledge graph spanning clinical, research, regulatory, and commercial domains, including ingestion, storage, query, and lifecycle management of nodes, edges, and properties.
• Semantic Layer. Build and govern the enterprise semantic layer that enables metrics, dimensions, business entities, and relationships in a single, consistent model used by AI agents.
• Graph and Semantic Strategy. Define Vertex's strategy for graph and semantic platform, including technology selection (graph database, AI semantic layer tooling, query API) and the architecture that unifies them.
• Ontology Partnership. Partner with the ontology and data modeling function to translate domain ontologies into the graph, ensuring fidelity to source models and consistency across domains.
• Agent Traversal & Retrieval. Build the graph traversal and retrieval interfaces that AI agents and other consumers use to ground their reasoning, including pattern queries, semantic search over graph context, and graph-aware retrieval for RAG systems.
• Application & System Onboarding. Partner with application and system owners across Vertex to onboard their systems into the enterprise knowledge graph and semantic layer.
• Production Operations. Own SLAs, observability, query performance, cost, and continuous improvement for the graph and semantic layer in production.

Knowledge and Skills

• Knowledge Graph Expertise. Deep hands-on experience designing and operating enterprise knowledge graphs, including schema design, ingestion, query, and traversal patterns. Familiarity with multiple graph paradigms (property graph, RDF/semantic web, hybrid graph + vector approaches) and the trade-offs between them.
• Semantic Layer Expertise. Strong experience building and governing semantic layers (e.g., dbt Semantic Layer, Cube, AtScale, LookML, or comparable) that serve analytics and AI consumers consistently.
• Cloud Data Platforms. Strong experience with Snowflake and/or Databricks in enterprise environments, including how graph and semantic capabilities integrate with these platforms.
• Cross-Domain Data Integration. Track record of integrating data across multiple business domains, including entity resolution, master data, and lineage at enterprise scale.
• AI & Agent Grounding. Working understanding of how knowledge graphs and semantic layers are consumed by AI agents and RAG systems, including graph-aware retrieval and traversal for agent reasoning.
• Production Operations. Track record of operating graph and analytical systems in production with high availability, query performance, and continuous improvement.
• Leadership & Communication. Proven ability to lead technical teams, communicate with executive stakeholders, and translate business needs into graph and semantic models.
• Pharma or Life Sciences Context. Experience in pharmaceutical, biotech, or life sciences data environments. Familiarity with clinical, regulatory, and commercial data domains is a plus.
• Regulated Environment Experience. Working knowledge of GxP, 21 CFR Part 11, and validated-system constraints on data and AI deployments.
• Life Sciences Ontologies. Familiarity with industry ontologies and standards (e.g., SNOMED CT, MedDRA, LOINC, RxNorm, CDISC, IDMP) and how they map into enterprise graph models.
• Graph Query Languages. Hands-on experience with Cypher, SPARQL, Gremlin, GQL, or comparable graph query languages.
• LLM Integration with Graphs. Experience with text-to-Cypher, text-to-SPARQL, or other LLM-driven graph query generation, and graph-augmented retrieval for AI systems.

Education and Experience

• 10+ years of experience in data engineering, AI/ML, or advanced analytics, with 3+ years specifically focused on knowledge graphs, semantic technologies, or enterprise data modeling at scale.

At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

Pay Range

Pay Range: $216,400 - $324,600. Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

Total Rewards

From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation

Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.

Company Information

Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law.

Vertex is an E-Verify Employer in the United States.

Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [e-mail]

Help Us Achieve Our Mission

Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious diseases and conditions. The company has approved therapies for cystic fibrosis, sickle cell disease, transfusion-dependent beta thalassemia, acute pain and acromegaly, and it continues to advance clinical and research programs in these areas. Vertex also has a robust clinical pipeline of investigational therapies across a range of modalities in other serious diseases where it has deep insight into causal human biology, including IgA nephropathy, neuropathic pain, APOL1-mediated kidney disease, primary membranous nephropathy, congenital adrenal hyperplasia, ACTH-dependent Cushing's syndrome, autosomal dominant polycystic kidney disease, type 1 diabetes, generalized myasthenia gravis, and myotonic dystrophy type 1.

Vertex was founded in 1989 and has its global headquarters in Boston, with international headquarters in London. Additionally, the company has research and development sites and commercial offices in North America, Europe, Australia, Latin America and the Middle East.

Vertex is consistently recognized as one of the industry's top places to work, including 16 consecutive years on Science magazine's Top Employers list and one of Fortune’s 100 Best Companies to Work For. For company updates and to learn more about Vertex's history of innovation, visit www.vrtx.com or follow us on LinkedIn, Facebook, Instagram, YouTube, and X

Our Culture

We believe our culture is one of Vertex’s greatest strengths and a key enabler of our ability to deliver transformative medicines for patients who need them. Rooted in innovation, purpose and collaboration, our culture empowers people to take smart risks, challenge conventional thinking and do their best work. The diversity of our people is central to that culture. By bringing together individuals with different backgrounds, experiences and perspectives, we foster an environment where new ideas thrive, better decisions are made and breakthrough innovation is possible. We are committed to creating a workplace where everyone feels valued, included and connected to our shared mission, because we know that our unique culture and the collective strength of our people are what set Vertex apart.