Product Manager, Lumina Data Platform

Accountabilities • Define and manage the data sourcing strategy, prioritising internal and third-party sources based on coverage, cost, licensing, quality, and onboarding effort.

• Lead the source onboarding process, from initial evaluation and provider assessment through ingestion, validation, and launch.

• Partner with data engineering teams to define connectors, schemas, ingestion requirements, and service-level agreements.

• Establish data contracts and standards covering schemas, freshness, quality, metadata, and governance.

• Manage changes to data standards and contracts to maintain reliability and avoid disruption to downstream consumers.

• Own relationships with internal platform consumers, including product engineering, analytics, data science, AI, and operations teams.

• Develop a transparent intake and prioritisation process for consumer requests, incorporating feedback into the product roadmap.

• Define, monitor, and improve platform metrics, including source coverage, freshness, data quality, adoption, and time-to-onboard new consumers.

• Maintain and communicate the platform roadmap, timelines, priorities, and trade-offs to stakeholders.

• Align data sourcing investments and platform development with the needs and priorities of internal teams.

• Incorporate AI tools into product workflows to accelerate source evaluation, requirements development, documentation, and consumer support.

• Champion AI-assisted workflows and share effective practices across the platform and its consumer teams.

• Interview and shadow internal users to understand their workflows, data needs, and platform challenges.

• Report on platform health, adoption, and performance to leadership and stakeholder teams.

Requirements:

• At least 5 years of product management experience, including meaningful 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 effectively and credibly with data engineers about technical requirements and platform trade-offs.

• Familiarity with modern cloud data ecosystems, including object storage, managed data warehouses, streaming, ELT, and orchestration.

• Proven experience treating internal teams as customers, managing demand, and driving measurable product adoption.

• Strong prioritisation skills and ability to translate ambiguous, cross-functional requests into a clear and defensible roadmap.

• Excellent written and verbal communication skills, including the ability to document requirements, align stakeholders, and communicate trade-offs.

• An AI-forward mindset, with 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.

Benefits:

• Annual salary range: $94,700–$161,300, depending on location, education, training, experience, licensure, and certifications.

• Health, dental, and vision insurance.

• Retirement savings plan with company match.

• Paid time off and holidays.

• Professional development opportunities.

• 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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