Ledgent Technology
VP, Data Product Manager
San Diego, California, USA · Vp · full-time
Sponsorship not specified$120k-$140kDetected 72 days ago
GitDatabricksAzureCI/CDKafkaMachine LearningdbtData EngineeringData VisualizationAgileStakeholder ManagementLeadershipCommunication
About the role
- Must sit 100% onsite in San Diego, CA; relocation assistance is not provided.
- This role bridges strategy and execution - owning the roadmap, backlog, and outcomes that enable analytics, AI, and business innovation across the organization.
- Champion AI-assisted development and automation (e.g., dbt auto-tests, Databricks notebooks, CI/CD intelligence, metadata lineage) to improve team velocity and reduce manual workload.
Responsibilities
- Own and manage the data engineering backlog -prioritize stories, define acceptance criteria, and ensure delivery of pipelines and platform capabilities that accelerate data availability and quality.
- Partner with Business Units, Analytics, and Tech Leadership to ensure data products are trusted, timely, and aligned with business priorities.
- Drive the Data Platform roadmap, aligning across engineering, analytics, and business stakeholders with clear transparency and measurable impact.
- You'll combine product thinking, data engineering fluency, and AI-driven delivery insights to help the team move faster, deliver smarter, and scale seamlessly.
Requirements
- 5+ years of experience in Data Engineering, Product Ownership, or Technical Program Management roles within modern data environments.
- Experience leveraging AI-assisted tools (e.g., GitHub Copilot, ADO, Databricks Assistant, or similar) to boost productivity and code quality.
Nice to have
- relocation assistance is not provided.
- Local candidates preferred
- Experience working in financial services or regulated data ecosystems.
- Exposure to Lakehouse architectures, metadata-driven automation, and AI Ops for data platforms.
- Certifications such as CSPO, SAFe POPM, or Cloud certifications are advantageous.
- Preferred: Experience working in financial services or regulated data ecosystems.
Compensation
- $120k-$140k
Benefits
- $120-$140k plus bonus
- Collaborate with Data Engineers, Tech Leads, and Architects to translate technical vision into actionable deliverables for ingestion, transformation, orchestration, and serving layers.
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