Senior Product Manager, Lumina Data Platform
New
J
JobgetherData platforms
US; based in the United StatesFull-TimeSenior
SalaryAnnual salary range of $94,700–$161,300 USD
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Job Details
- Experience
- At least 5 years of product management experience
- Required Skills
- Product Management
Requirements
- At least 5 years of product management experience.
- Experience with data, platform, infrastructure, or API products serving internal or technical users.
- Strong understanding of data pipelines, warehouses and lakes, schemas, data quality, and governance.
- Ability to collaborate credibly with data engineers on ingestion, integration, and platform architecture decisions.
- Familiarity with cloud-native data environments, object storage, managed data warehouses, streaming, ELT processes, and orchestration tools.
- Experience treating internal teams as customers, managing competing demands, and driving measurable platform adoption.
- Strong prioritization and decision-making skills in ambiguous, cross-functional settings.
- Experience developing and communicating product roadmaps and aligning stakeholders on priorities and delivery expectations.
- Written and verbal communication skills, including documenting requirements and explaining technical concepts to diverse audiences.
- Active use of AI tools to improve productivity, product execution, or team effectiveness.
- Experience defining data contracts is desirable.
Responsibilities
- Define and manage data sourcing strategy, prioritizing internal systems and third-party providers.
- Manage onboarding of new data sources from evaluation through ingestion, validation, and production launch.
- Partner with data engineering teams to develop connectors, define schemas, and establish service-level agreements.
- Create and maintain data contracts and standards for schemas, freshness, quality, metadata, and governance.
- Manage relationships with internal platform consumers and prioritize their requests.
- Define and improve metrics for source coverage, data freshness, data quality, adoption, and consumer onboarding time.
- Maintain the platform roadmap and communicate priorities and delivery timelines.
- Interview and observe internal users to identify workflow needs and platform improvements.
- Write product requirements and data contracts, collaborating with engineering on estimates, priorities, and sequencing.
- Use AI tools to support source evaluation, requirements, documentation, feedback analysis, prototyping, and internal support.
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