Position: Servicio Técnico para Soporte de Knowledge Delivery Lead
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Location:
Spain or Portugal (Remote)
Duration:
Permanent/ Freelence
Description:
Lead end-to-end delivery of the
Knowledge Graph (KG)
as a stable, usable, and integrated product component within the
Operations Knowledge Fabric
and broader product ecosystem.
Own the KG delivery lifecycle from
data/ontology modeling
through
technical readiness
,
integration
, and
handover
to consuming teams.
Service Overview:
This role focuses on leading
knowledge graph projects
using modern graph technologies and semantic frameworks. Responsibilities include:
Building robust graph-based architectures
Integrating semantic models
Ensuring seamless interaction with AI-driven components
Working with infrastructure architecture
Optimizing data pipelines
Implementing best practices for scalability and security
Collaboration within
agile teams
and maintaining
high-quality standards
are key aspects of this role.
Responsibilities:
Ensure the KG is
fit for purpose
: validate ontology and schema against product requirements and prioritized use cases.
Coordinate
data ingestion, transformations, enrichment, indexing, and inference processes
, ensuring data quality and graph integrity.
Define and manage
boundaries and handoff
: APIs/endpoints, export mechanisms, versioning strategy, documentation, sample queries, usage guidelines, and known limitations.
Align KG integration with
product roadmaps
and
platform architecture
; manage dependencies across systems and teams.
Track and communicate
progress, milestones, risks, and mitigation plans
to stakeholders.
Ensure
non-functional readiness
: performance, scalability, reliability, monitoring, security, and compliance.
Act as
primary point of contact
for the KG component, articulating its value and constraints.
Drive and enforce
ways of working
: collaboration with data engineers, ontologists, product managers, QA, and platform teams.
Qualifications:
Must Have:
Strong understanding of
data management
: lifecycle, quality, metadata, governance.
Solid knowledge of
semantics
: vocabularies, taxonomies, ontologies, with practical experience in ontology-driven modeling.
Proven experience leading delivery of
complex data or semantic/knowledge-graph initiatives
in multi-team environments.
Ability to
bridge business and technology
: translate requirements into semantic models and delivery plans.
Strong
stakeholder management and communication skills
.
Nice to Have:
Hands-on experience with
Cognite
(e.g., Cognite Data Fusion, Cognite Data Model).
Experience with
semantic web / KG technologies
(RDF/OWL, SPARQL, graph databases) and modern data engineering stacks. xcskxlj
Background in
pharma, manufacturing, or industrial operations
with exposure to semantic standards.
Additional Details:
Work Mode:
100% remote (Spain & Portugal)
Language:
C1 English level required