Senior Technical Product Manager – Search, Metadata & Enrichment

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 traceability from PDP → Jira story → release
Flag gaps, regressions, or scope drift before launch; support go/no-go release decisions
Identify systemic patterns in release defects or requirements drift and propose process fixes, not just individual fixes
Search, Enrichment & Metadata Operations
Take ownership of the hands-on, not-yet-defined work in the enrichment pipeline — triaging tagging/classification issues, chasing down metadata gaps, data quality cleanup — and see it through without needing a fully-scoped brief
Enable the maintenance and curation of metadata in the metadata management system (ownership, descriptions, glossary terms, lineage, data quality annotations) so assets stay discoverable and trustworthy
Monitor and triage search quality issues (missing results, poor relevance, indexing gaps, stale content) in partnership with engineering
Drive ongoing improvement of search relevance/ranking as the underlying content and enrichment pipelines evolve; bring informed opinions on indexing strategy andquery/relevance tuning, not just bug triage
Spot and escalate 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 the Data Store and Document Store
Navigate a complex, multi-system data landscape (multiple sources, schemas, and governance regimes) and reason about cross-system impact before changes ship
Understand enough of the underlying architecture (APIs, data flows, pipelines) to have credible technical conversations with engineers and data scientists, not just relay requirements
Monitor support channels, triage incoming technical requests, and route them appropriately
Stakeholder, Strategy & Backlog Support
Serve as a point of contact for researchers and end-users reporting data/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 just capturing requirements
Maintain backlog hygiene, documentation, and requirements traceability in Jira and Confluence
Participate in stand-ups, retrospectives, and release reviews
Produce communication materials to announce functionality to users and ensure their success
Support technical evaluations of other consultants when required, contributing to the assessment of skills and alignment with project needs
What You Bring
8+ years of product management experience, ideally including hands-on platform/data operations experience.
Strong requirements documentation, QA/UAT, and test-plan execution skills
Expert user of Jira and Confluence for backlog management, traceability, and documentation
Working experience with an enterprise search / information retrieval stack (Elasticsearch, OpenSearch, Solr, or similar) — indexing, relevance tuning, faceted search, 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 and reason about cross-system/downstream impact
Comfort with ambiguity — able to pick up undefined enrichment or metadata problems 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 Part 11)
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 the data/search stack
Prior experience managing or contributing to a scientific/technical data catalog at enterprise scale
Background bridging scientific users (chemists, biologists, computational scientists) and engineering teams
Track record of spotting and resolving systemic data quality issues, not just symptomatic fixes
Exposure to applying GenAI/LLM tooling (e.g., Gemini, Atlassian Intelligence, or similar) for documentation generation, requirements automation, or intelligent backlog prioritization

Skills
GCP, Elasticsearch, LLM, Product Management, Agile, Jira, Confluence

Experience
5-8 yrs