Senior Technical Product Manager (Search, Metadata & Enrichment)
Location
Bogotá, Remote Europe, Colombia
Senior Technical Product Manager – Search, Metadata & Enrichment
Contract | Fully Remote (EU) | $30–35 per hour
About the Role
I’m recruiting a Senior Technical Product Manager to join a technical data platform team supporting search, metadata management and data enrichment capabilities within a leading global organisation.
This role combines hands-on product execution with strong technical product management experience. You will work across enterprise search, data stores, metadata management and enrichment pipelines, ensuring data is accurate, discoverable, well-governed and fit for purpose.
Working closely with engineering teams, data stewards, product leadership and end users, you will take ownership of release quality, requirements traceability, search performance and ongoing data quality improvements.
This is a hands-on technical product role requiring someone comfortable navigating complex technical environments, identifying problems independently and driving solutions through to delivery.
Responsibilities
Release Management & Requirements
Represent end-user requirements and ensure delivered functionality meets business expectations.
Own requirements traceability from product development plans through Jira stories and final releases.
Execute test plans and UAT ahead of releases, identifying gaps, regressions and scope discrepancies.
Support release readiness and go/no-go decisions.
Identify recurring release issues and implement improvements to delivery processes.
Search, Metadata & Data Enrichment
Manage enrichment pipelines, including tagging, classification, metadata gaps and data quality improvements.
Oversee metadata management, including ownership, descriptions, glossary terms, lineage and data quality annotations.
Monitor and troubleshoot enterprise search issues, including missing results, indexing gaps and search relevance.
Drive improvements to search relevance, ranking and indexing strategies.
Identify and resolve systemic data quality and metadata issues across enterprise data catalogues.
Technical Platform Management
Work closely with engineering teams on the ongoing health, availability and incident management of data and document platforms.
Navigate complex, multi-system data environments, understanding dependencies and downstream impacts.
Understand APIs, data flows, pipelines and underlying architecture to engage effectively with technical teams.
Monitor technical support requests and coordinate appropriate resolution.
Stakeholder & Product Management
Work with researchers, scientific users, data stewards and engineering teams to understand requirements and resolve issues.
Contribute to product roadmap development, backlog prioritisation and technical trade-off decisions.
Maintain Jira and Confluence documentation, backlog hygiene and requirements traceability.
Participate in agile ceremonies, sprint reviews and release discussions.
Communicate new functionality and product updates to end users.
Requirements
8+ years of Product Management experience, ideally within technical platforms or data-intensive environments.
Strong experience with requirements documentation, QA, UAT and test-plan execution.
Advanced Jira and Confluence experience.
Practical experience with enterprise search technologies such as Elasticsearch, OpenSearch, Solr or similar.
Understanding of search indexing, relevance tuning, faceted search and query troubleshooting.
Hands-on experience with metadata management platforms, including data lineage, ownership, glossary management and data quality.
Experience working across complex, multi-system data environments and understanding downstream dependencies.
Understanding of data enrichment concepts, including entity extraction, classification, tagging, record linkage and data quality scoring.
Ability to work independently, take ownership of undefined problems and drive them through to resolution.
Experience in pharmaceutical or regulated environments, including GxP and 21 CFR Part 11.
Nice to Have
Knowledge graph experience, including RDF, OWL, SPARQL, Cypher, ontologies or taxonomies.
Familiarity with controlled vocabularies such as MeSH, ChEBI or UniProt.
Experience with GCP services, particularly BigQuery, Cloud Run and Google Cloud Storage.
Experience managing enterprise-scale scientific or technical data catalogues.
Background working with scientific users, including chemists, biologists and computational scientists.
Experience applying GenAI or LLM tools to documentation, requirements automation or product workflows.
Contract Details
Rate: $30–35 per hour
Location: Fully remote within the EU
Engagement: Contract
Working arrangement: 100% remote