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Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Manager, Data Platform - PDEGO (Data Platform): Building and scaling shared data products and reusable datasets across streaming, fan engagement, social, creator activity, and commerce with an accent on data strategy, semantic layers, and data quality. Focus on defining cross-product data models, coordinating engineering delivery, connecting datasets, and driving adoption across a global music business.
Location: London, United Kingdom; the role is based in the London office
Company
hirify.global is a global music and entertainment company operating across more than 70 countries and combining music, technology, data, and digital products.
What you will do
Own the strategy, roadmap, prioritisation, and delivery of a portfolio of shared data products.
Translate business needs into data initiatives, requirements, acceptance criteria, and measurable outcomes.
Define reusable datasets with engineering, including records, fields, relationships, quality, freshness, and access requirements.
Lead implementation, validation, launch, adoption, and continuous improvement with data platform and engineering teams.
Establish shared definitions, identifiers, metrics, semantic layers, documentation, data standards, ownership, lineage, and appropriate-use practices.
Connect streaming, social, campaigns, fan engagement, commerce, and creator datasets while aligning stakeholders and measuring business impact.
Requirements
Track record of leading data products or platform capabilities from discovery and strategy through delivery, adoption, and improvement.
Experience turning fragmented data and business requirements into reusable datasets, shared capabilities, or data products.
Strong understanding of modern data platforms, including Snowflake or comparable cloud data warehouses, data ingestion, modelling, pipelines, and downstream consumption.
Understanding of semantic layers, shared data definitions, data quality, freshness, ownership, access, lineage, privacy, and appropriate data use.
Ability to prioritise across teams, manage dependencies, influence stakeholders, and communicate clearly with engineers, business partners, analysts, and executives.
Strong analytical, organisational, documentation, and product decision-making skills.
Nice to have
Experience in music or entertainment, including streaming, consumption, or artist audience data.
Experience with fan engagement, social and creator analytics, marketing campaigns, D2C commerce, or customer data platforms.
Experience connecting data through shared identifiers, entity relationships, audience segmentation, analytics, marketing intelligence, or AI-powered products.
Experience with data catalogs, observability tools, business intelligence platforms such as Sigma, enterprise-scale data products, platform migrations, or change management.
Culture & Benefits
Modern office environment within a global music and entertainment community.
Professional growth and development investment.
Opportunity to contribute to social impact, diversity, equity, and inclusion initiatives.
Private medical cover, pension scheme, life assurance, and income protection.
Music industry perks and time off over the winter break.
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