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Чёткая ответственность за стратегически важную платформу данных, серьёзная техническая глубина и сфера регулируемых наук о жизни делают роль значимой; широкий набор профильных требований сужает круг подходящих специалистов.
?Широкий профиль
Современная платформа
Влияние на науку
Понятная зона ответственности
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Product Owner, Data Platform (Data Architecture/Life Sciences): Owning the vision, roadmap, governance, and delivery of a scientific data platform spanning ingestion, modelling, data contracts, and enterprise data products with an accent on lakehouse architecture, regulated data integrity, and scalable platform services. Focus on evolving schemas and contracts, building governed integrations with Snowflake, Databricks, and Power BI, and ensuring resilience, audit readiness, and reliable data operations.
Location: Woking, United Kingdom; office based in the UK, with remote work considered for the right candidate. Occasional business travel of up to 10–15% is required.
Company
hirify.global’s IDBS provides software solutions for scientific informatics, helping life sciences and biopharma organisations manage scientific data and accelerate drug discovery and manufacturing.
What you will do
Own the vision, roadmap, performance, and outcome-focused requirements for the Data Platform.
Define product metrics and non-functional requirements for ingestion, throughput, resilience, disaster recovery, cost governance, and contract adherence.
Drive data contract and schema evolution across laboratory domains, managing breaking and non-breaking changes.
Coordinate dependencies and critical-path delivery across product streams through PI Planning and collaboration with Product Owners and engineering leads.
Lead discovery with data engineers, informatics leads, MSAT, Tech Ops, and enterprise customers; validate sandboxes, replay pipelines, and governed sharing with Snowflake, Databricks, and Power BI.
Establish operational quality practices, incident triage, monitoring, runbooks, data integrity, tenant isolation, access control, data residency, and audit readiness.
Requirements
Experience as a Product Owner or Product Manager for data or platform products in enterprise software, translating technical infrastructure into INVEST-compliant stories and measurable data product metrics.
Deep understanding of modern lakehouse architecture, including medallion data tiers, transactional storage engines, and change data capture patterns such as Databricks and Delta Lake.
Strong knowledge of scientific data modelling, including unstructured-to-structured transformation, data contracts, schema evolution, ontologies, and provenance standards such as W3C PROV.
Practical experience with laboratory integration and ingestion patterns from instruments and edge collectors such as OPC UA and AWS Greengrass to central storage, including streaming and batch trade-offs.
Experience in regulated GxP environments with ISO 9001 and ISO 27001 controls, data integrity, ALCOA+ principles, audit trails, and multi-tenant security boundaries.
Strong cross-functional communication skills with data engineers, informatics leads, commercial teams, and enterprise customers.
Practical experience with Agile and Lean delivery, PI Planning, and cross-stream dependency management.
Culture & Benefits
Senior individual contributor role in an Agile and Lean environment, leading through influence.
Work is aligned across multiple product streams through Programme Increment Planning.
Comprehensive benefits, including healthcare programs and paid time off.
Occasional travel is required for PI planning events, customer visits, and company meetings.
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