Senior Technical Product Manager – Search, Metadata & Enrichment New LATAM

Xebia Group; Chesapeake (VA); Hybrid; USD 130,000 - 190,000; Full time

Job summary

Xebia Group is seeking a Senior Technical Product Manager to balance hands-on release testing with senior technical judgment. You will work with product, engineering, and data stewards in a hybrid delivery model to shape AI-driven search, enrichment, and documentation as the platform evolves.

The role requires 5-8+ years in product management, strong requirements/QA skills, and experience with enterprise search/data pipelines. Remote, US East-Coast preferred, EST/PST/UK overlap.

Qualifications

• Strong product management experience with hands-on execution and governance.
• Excellent requirements documentation and QA/UAT skills.
• Experience with Jira/Confluence for backlog management and traceability.
• Familiarity with metadata management and data quality concepts.
• Ability to operate in complex, multi-system data landscapes.

Responsibilities

• Represent the voice of the customer to ensure end delivery provides value.
• Execute test plans and UAT ahead of every release against the Data Store /Document Store.
• Verify PDP-to-release traceability from PDP → Jira story → release.
• Identify gaps, regressions, or scope drift before launch; support go/no-go decisions.
• Own enrichment pipeline work and metadata gaps; ensure data quality cleanup.
• Maintain metadata management system governance and data quality annotations.
• Monitor search quality issues in collaboration with engineering.
• Contribute to roadmap/prioritization for Data Store/Document Store; trade-offs.

Skills

Product management

Requirements documentation

QA/UAT

Data and metadata management

Cross-functional collaboration

Tools

Jira

Confluence

Elasticsearch/OpenSearch/Solr

Job description

LATAM

About the role

We're looking for a Senior Technical Product Manager who can operate in two registers at once: hands-on, in-the-weeds execution (release testing, requirements-to-release traceability, enrichment and metadata upkeep) and senior technical judgment (navigating a complex, multi-system data landscape, anticipating downstream impact, and making sound calls where guidance is incomplete). You'll work closely with the product lead, engineering, and data stewards in a hybrid delivery model combining PDLC-style governance with agile execution — and you'll have real opportunities to shape how AI gets applied to search, enrichment, and documentation as the platform matures

Location: Remote, US East-Coast preferred

Time Zone Availability: EST preferred, with overlap to PST and UK time zone

Experience: 5-8+ Years of Product Management Experience

What You'll Do

Release & Requirements Integrity

• Represent the voice of the customer to ensure end delivery provides desired value


• Execute test plans and UAT ahead of every release against the Data Store /Document Store


• Verify that requirements drafted in an approved Product Development Plan (PDP)actually show up, correctly, in the shipped release, owning requirements traceabilityfrom PDP → Jira story → release


• Flag gaps, regressions, or scope drift before launch; support go/no-go releasedecisions


• Identify systemic patterns in release defects or requirements drift and proposeprocess fixes, not just individual fixes


• Take ownership of the hands-on, not-yet-defined work in the enrichment pipeline —triaging tagging/classification issues, chasing down metadata gaps, data qualitycleanup — and see it through without needing a fully-scoped brief


• Enable the maintenance and curation of metadata in the metadata managementsystem (ownership, descriptions, glossary terms, lineage, data quality annotations) soassets stay discoverable and trustworthy


• Monitor and triage search quality issues (missing results, poor relevance, indexinggaps, stale content) in partnership with engineering


• Drive ongoing improvement of search relevance/ranking as the underlying contentand enrichment pipelines evolve; bring informed opinions on indexing strategy andquery/relevance tuning, not just bug triage


• Spot and upscale systemic metadata/enrichment quality issues across the catalog,not only the ones reported ad hoc

Platform & Technical Depth

• Partner with engineering on day-to-day health, uptime, and incident triage for theData Store and Document Store


• Navigate a complex, multi-system data landscape (multiple sources, schemas, andgovernance regimes) and reason about cross-system impact before changes ship


• Understand enough of the underlying architecture (APIs, data flows, pipelines) tohave credible technical conversations with engineers and data scientists, not justrelay requirements


• Monitor support channels, triage incoming technical requests, and route themappropriately


• Serve as a point of contact for researchers and end-users reportingdata/search/enrichment issues


• Contribute to roadmap and prioritization discussions for the Data Store/Document Store, bringing an informed point of view on trade-offs, not justcapturing requirements


• Maintain backlog hygiene, documentation, and requirements traceability in Jira andConfluence


• Participate in stand-ups, retrospectives, and release reviews


• Produce communication materials to announce functionality to users and ensure theirsuccess


• Support technical evaluations of other consultants when required, contributing to theassessment of skills and alignment with project needs

What You Bring

• 8+ years of product management experience, ideally including hands-onplatform/data operations experience.


• Strong requirements documentation, QA/UAT, and test-plan execution skills


• Expert user of Jira and Confluence for backlog management, traceability, anddocumentation


• Working experience with an enterprise search / information retrieval stack(Elasticsearch, OpenSearch, Solr, or similar) — indexing, relevance tuning, facetedsearch, troubleshooting query/ranking issues


• Hands-on experience with metadata management platform — managing lineage,ownership, glossary terms, and data quality annotations


• Demonstrated ability to operate in complex, multi-system technical landscapes andreason about cross-system/downstream impact


• Comfort with ambiguity — able to pick up undefined enrichment or metadataproblems and drive them to resolution without a fully-scoped brief


• Understanding of data enrichment concepts: entity extraction/NER,classification/tagging, record linkage, data quality scoring


• Experience in pharmaceutical or regulated industry environments (GxP, 21 CFR Part11)

Nice to have:

• Knowledge graph experience is a strong bonus — familiarity with RDF/OWL/SPARQL or property-graph query languages (e.g., Cypher), ontologies/taxonomies, or controlled vocabularies (MeSH, ChEBI, UniProt, internal glossaries)


• Familiarity with GCP services (BigQuery, Cloud Run, GCS) relevant to thedata/search stack


• Prior experience managing or contributing to a scientific/technical data catalog atenterprise scale


• Background bridging scientific users (chemists, biologists, computational scientists)and engineering teams


• Track record of spotting and resolving systemic data quality issues, not justsymptomatic fixes


• Exposure to applying GenAI/LLM tooling (e.g., Gemini, Atlassian Intelligence, orsimilar) for documentation generation, requirements automation, or intelligent backlogprioritization