Product Manager, Lumina Data Platform
New
J
JobgetherData platforms
Based in the United StatesFull-TimeMiddle
SalaryAnnual salary range: $94,700–$161,300, depending on location, education, training, experience, licensure, and certifications. Performance-based bonus eligibility, depending on position and applicable plan terms. Potential additional rewards or incentives based on role and individual performance.
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Job Details
- Experience
- At least 5 years of product management experience
- Required Skills
- SQLProduct Management
Requirements
- At least 5 years of product management experience.
- Experience with data, platform, infrastructure, or API products serving technical or internal users.
- Strong understanding of data platforms, including pipelines, data warehouses and lakes, schemas, data quality, and governance.
- Ability to communicate technical requirements and platform trade-offs credibly with data engineers.
- Familiarity with cloud data ecosystems, including object storage, managed data warehouses, streaming, ELT, and orchestration.
- Experience treating internal teams as customers, managing demand, and driving measurable product adoption.
- Strong prioritisation skills and ability to turn ambiguous cross-functional requests into a clear roadmap.
- Strong written and verbal communication, including documenting requirements, aligning stakeholders, and communicating trade-offs.
- Active use of AI tools to improve productivity, product quality, and team effectiveness.
- Nice to have: experience in real estate, property technology, leasing, or real estate data.
- Nice to have: experience defining and managing data contracts.
- Nice to have: familiarity with data catalogues, data lineage, or self-service analytics tools.
- Nice to have: SQL proficiency and comfort exploring data directly.
Responsibilities
- Define and manage data sourcing strategy, prioritising internal and third-party sources by coverage, cost, licensing, quality, and onboarding effort.
- Lead source onboarding from evaluation and provider assessment through ingestion, validation, and launch.
- Partner with data engineering to define connectors, schemas, ingestion requirements, and service-level agreements.
- Establish and manage data contracts and standards for schemas, freshness, quality, metadata, and governance.
- Own relationships with internal platform consumers and develop an intake and prioritisation process for their requests.
- Define, monitor, and improve platform metrics, including source coverage, freshness, data quality, adoption, and time to onboard consumers.
- Maintain and communicate the platform roadmap, timelines, priorities, and trade-offs.
- Incorporate AI tools into product workflows and share effective AI-assisted practices.
- Interview and shadow internal users to understand their workflows, data needs, and platform challenges.
- Report platform health, adoption, and performance to leadership and stakeholders.
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