Senior Product Manager, Lumina Data Platform

<h3>Accountabilities:</h3><ul>
<li>Define and manage the data sourcing strategy, prioritizing internal systems and third-party providers based on data coverage, cost, licensing, quality, and implementation effort.</li>
<li>Establish and manage the onboarding process for new data sources, from initial evaluation and provider assessment through ingestion, validation, and production launch.</li>
<li>Partner with data engineering teams to develop connectors, define schemas, and establish service-level agreements (SLAs) for data sources.</li>
<li>Create and maintain data contracts and standards covering schemas, freshness, quality, and metadata, including governance processes for changes that may affect downstream consumers.</li>
<li>Own relationships with internal platform consumers, including product engineering, analytics, data science, Agentic AI, and operations teams.</li>
<li>Manage incoming requests from internal stakeholders through a transparent prioritization framework, ensuring that consumer feedback informs the product roadmap.</li>
<li>Define, monitor, and improve platform performance metrics, including source coverage, data freshness, data quality, consumer adoption, and time required to onboard new consumers.</li>
<li>Maintain the platform roadmap, communicate priorities and delivery timelines, and align data sourcing investments with the needs of internal teams.</li>
<li>Interview and observe internal users to understand their workflows, identify platform limitations, and uncover opportunities to improve the data consumption experience.</li>
<li>Write clear product requirements and data contracts, collaborating with engineering teams to estimate, prioritize, and sequence development work.</li>
<li>Evaluate potential data sources and make informed decisions about which sources to onboard and when.</li>
<li>Report on platform health, adoption, and progress to leadership and the teams relying on the platform.</li>
<li>Use AI tools to accelerate source evaluation, requirements development, documentation, consumer feedback analysis, prototyping, and internal support.</li>
<li>Promote effective AI-assisted workflows across platform teams and share successful practices to improve productivity and delivery.</li>
<h2>Requirements:</h2>
<ul>
<li>At least 5 years of product management experience, including meaningful experience with data, platform, infrastructure, or API products serving internal or technical users.</li>
<li>Strong understanding of data platforms, including data pipelines, data warehouses and lakes, schemas, data quality, and governance.</li>
<li>Ability to engage credibly with data engineers and collaborate on technical decisions related to data ingestion, integration, and platform architecture.</li>
<li>Familiarity with modern cloud-native data environments, including object storage, managed data warehouses, streaming and ELT processes, and orchestration tools.</li>
<li>Proven ability to treat internal teams as customers, manage competing demands, and drive measurable platform adoption.</li>
<li>Strong prioritization and decision-making skills, particularly when navigating ambiguous requirements and competing cross-functional requests.</li>
<li>Experience developing and communicating product roadmaps, making trade-offs explicit, and aligning stakeholders around priorities and delivery expectations.</li>
<li>Excellent written and verbal communication skills, including the ability to document requirements clearly and communicate technical concepts to diverse audiences.</li>
<li>An AI-forward mindset, with active use of AI tools to improve productivity, product execution, and team effectiveness.</li>
<li>Familiarity with real estate, property, leasing, or proptech data is an advantage but not required.</li>
<li>Experience defining data contracts is desirable.</li>
<li>Familiarity with data catalogs, data lineage, or self-service analytics tools is a plus.</li>
<li>SQL proficiency and comfort exploring data directly are beneficial.</li>
<h2>Benefits:</h2>
<ul>
<li>Annual salary range of $94,700–$161,300 USD, depending on location, qualifications, education, training, experience, licensure, and certifications.</li>
<li>Health, dental, and vision insurance.</li>
<li>Retirement savings plan with employer matching contributions.</li>
<li>Paid time off and holidays.</li>
<li>Professional development opportunities.</li>
<li>Potential performance-based bonus or other additional incentives, depending on the role and applicable compensation plan.</li>
<li>Opportunity to influence a foundational data platform supporting teams across product development, analytics, data science, AI, and operations.</li>
</ul>
</ul>
</ul>