Hiring: VP, Data Product Manager Company: Ledgent Technology Location: San Diego, CA Job Posted Time: 2026-09-09 18:08:04 Employment Type: On-site Target Skills & Keywords : Agile, Azure, CI/CD, Compliance, Databricks, Fivetran, GitHub, HBase, Kafka, Move, Scrum, dbt About the job Experience: •5+ years of experience in Data Engineering, Product Ownership, or Technical Program Management roles within modern data environments. Required Skills: •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. •Collaborate with Data Engineers, Tech Leads, and Architects to translate technical vision into actionable deliverables for ingestion, transformation, orchestration, and serving layers. •Advocate for governed, scalable, and AI-ready data-partnering with Collibra and platform teams to ensure compliance and discoverability. •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. •Leverage AI/ML-based monitoring and observability tools to enhance data reliability, anomaly detection, and operational performance. •Drive the Data Platform roadmap, aligning across engineering, analytics, and business stakeholders with clear transparency and measurable impact. •Foster a culture of continuous improvement, using metrics and retrospectives to increase throughput, quality, and predictability of delivery. •Represent the engineering voice in cross-functional planning and communicate technical dependencies, risks, and opportunities clearly. •Mentor junior Scrum Masters and influence agile practices to enhance team productivity and engagement. •What Success Looks Like: •A transparent and trusted roadmap for the data platform. •Consistent, high-quality, and governed data delivery. •Improved team velocity and reduced cycle time through automation and AI augmentation. •Strong relationships and alignment across business, analytics, and engineering. Qualifications: •5+ years of experience in Data Engineering, Product Ownership, or Technical Program Management roles within modern data environments. •Hands-on familiarity with Databricks, dbt, Fivetran, Kafka, Census, Azure Data Services, SSIS, Tableau, and Collibra. •Experience leveraging AI-assisted tools (e.g., GitHub Copilot, ADO, Databricks Assistant, or similar) to boost productivity and code quality. •Strong grasp of data architecture, pipelines, orchestration, and governance frameworks. •Proven ability to manage Compensation: •$120,000 •$140,000 •$120-140 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!