Senior Product Manager Data Platforms

Selby Jennings Ltd
  • Dallas, TX
    16 days ago

    Job Description

    Summary

    Selby Jennings is partnering with a leading invesment manager building a next-generation enterprise data ecosystem to support advanced analytics, AI, machine learning, and data-driven business operations. As part of a newly established data platform organization, this role will be instrumental in defining and delivering scalable cloud-based data products that enable self-service access, seamless integration, and enterprise-wide data capabilities.

    This is an opportunity to join a high-impact team operating with a startup mentality while influencing data strategy and platform development across a large-scale enterprise environment.

    What You'll Do

    • Own the vision, strategy, roadmap, and lifecycle of enterprise data platform products.
    • Partner with data engineers, architects, analysts, and business stakeholders to identify opportunities and define product requirements.
    • Lead product discovery, experimentation, and MVP development to deliver innovative data platform capabilities.
    • Collaborate closely with engineering teams to build scalable solutions leveraging technologies such as AWS, Databricks, Snowflake, and modern data integration frameworks.
    • Prioritize product roadmaps and backlogs based on business value, technical feasibility, and user feedback.
    • Define KPIs, measure product performance, and drive continuous improvement through data-driven decision making.
    • Support product adoption through enablement, training, and go-to-market initiatives.
    • Help shape a growing product management function by mentoring team members and establishing best practices.

    Qualifications

    • 8+ years of product management, platform product, or related experience.
    • Proven experience owning products through the full lifecycle, from strategy and ideation through launch and ongoing optimization.
    • Strong understanding of modern data architecture, data engineering, and cloud data platforms.
    • Experience working with technologies such as AWS, Databricks, Snowflake, Kafka/Confluent, Flink, or similar platforms.
    • Ability to lead cross-functional initiatives and communicate effectively with technical and executive stakeholders.
    • Bachelor's degree required; advanced degree preferred.
    • Preferred Background
    • Experience building enterprise data platforms, analytics infrastructure, or AI/ML enablement capabilities.
    • Strong knowledge of data modeling, metadata management, data quality, governance, integration, and platform security.
    • Demonstrated success delivering products in complex, fast-paced enterprise environments.

    Numbers & Facts

    LocationDallas, TX

    Skills

    • Amazon Web Services (AWS)unmatched
    • Architectural Analysisunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Operationsunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Continuous Improvementunmatched
    • Cross-Functionalunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Ecosystemsunmatched
    • Establish Prioritiesunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Metadataunmatched
    • Performance Metricsunmatched
    • Process Improvementunmatched
    • Product Backlogunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Supportunmatched
    • Property Managementunmatched
    • Requirements Managementunmatched
    • Scalable System Developmentunmatched
    • Snowflake Schemaunmatched
    • Software Engineeringunmatched
    • Startupunmatched

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