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.