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Strong Tier-1 brand and metro location increase density, but senior, specialized role limits broad applicant pool.
Highly domain-specific unstructured data and AI/platform requirements reduce cross-industry transferability.
Explicit 8-year minimum, 5-year PM minimum, and specialized data platform requirements enforce strict filters.
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Define and execute the strategic roadmap for Enterprise Data Platform capabilities focused on unstructured data.
Lead end-to-end product management including ideation, delivery, and release of features, collaborating with engineering and cross-functional teams.
Engage with users and stakeholders to gather requirements, promote platform adoption, measure performance using KPIs, and advocate for EDP internally and externally.
Bachelor's degree in Computer Science, Engineering, Business Administration, or equivalent; advanced degree preferred.
Minimum 8 years of experience with at least 5 years in product management; experience with cloud-based data platforms or PaaS preferred.
Demonstrable experience in at least two among: data engineering at scale, acquiring/transforming unstructured data, preparing data for machine learning at scale, or integrating data with AI developer platforms.
Experience working with globally distributed product and engineering teams in complex enterprise settings; credible engaging technical audiences on unstructured data.
Proven strategic thinker able to align product roadmap with business outcomes and technical architecture in enterprise data platforms.
Experienced in leading product development lifecycle within a scaled agile environment involving global, cross-functional teams.
Comfortable working at the intersection of technical and business audiences, with strong experience in data-centric product areas especially around unstructured data and AI-related domains.