Data Product Management Lead

About the Role Our client is seeking a hands-on Data Product Management Lead to drive modernization and innovation across enterprise data platforms. This is a key leadership role for someone who thrives in ambiguity, creates clarity, and can connect business needs to technical delivery. You’ll play a pivotal part in transforming legacy systems, implementing governance frameworks, and leading the adoption of modern data platforms — especially Databricks. Key Responsibilities • Act as a hands-on builder — not just a strategist — bringing structure and clarity to ambiguous situations. • Lead the modernization of data infrastructure, governance, and management across the enterprise. • Drive the implementation and optimization of Databricks (Unity Catalog, Delta Lake, workspace management). • Build and manage a robust product backlog, balancing quick wins with long-term transformation goals. • Partner closely with VP of Digital Product & Innovation and VP of Data & Analytics to align on strategy and execution. • Translate business requirements into actionable technical product features for engineering and data teams. • Lead cross-functional initiatives to centralize data, improve quality, and enhance governance (MDM, data lineage, data catalog). Skills & Experience • 8+ years of product management experience with a focus on data platforms or enterprise data products. • Databricks expertise — direct, hands-on implementation and ownership (not just exposure). • Strong understanding of data governance, MDM, and data quality frameworks. • Proven success modernizing legacy systems and migrating to modern data architectures. • Strong technical acumen and ability to engage deeply with engineers and data architects. • Familiarity with agile delivery models and dual-track approaches. • Background in regulated industries such as insurance, financial services, or healthcare is highly preferred. Leadership & Collaboration • Effective bridge between business and technical teams, influencing senior stakeholders and engineering groups. • Comfortable working at both strategy and execution levels to deliver measurable outcomes. • Demonstrated success leading enterprise-level data initiatives and driving adoption across multiple departments. Contract Details & Benefits: • Remote flexibility with potential for hybrid collaboration. • Competitive hourly or salary rate based on experience. • Opportunity to shape and modernize enterprise data infrastructure at scale.