VP, Data Product Manager

Ledgent Technology is seeking a VP, Data Product Manager to shape the next generation of our enterprise data platform. This role blends product thinking with hands-on data engineering fluency and AI-driven delivery insights to help the team move faster, deliver smarter, and scale seamlessly. The position is onsite in La Jolla, San Diego, with ownership of the data platform roadmap, backlog, and outcomes that enable analytics, AI, and business innovation across the organization.

Responsibilities

• Steer the data engineering backlog by prioritizing stories, defining acceptance criteria, and ensuring delivery of pipelines and platform capabilities that boost data availability and quality.
• Collaborate with Business Units, Analytics, and Tech Leadership to ensure data products are trusted, timely, and aligned with business priorities.
• Work with Data Engineers, Tech Leads, and Architects to translate a 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, including dbt auto-tests, Databricks notebooks, CI/CD intelligence, and metadata lineage, to accelerate delivery and reduce manual workload.
• Utilize AI/ML-based monitoring and observability tools to improve data reliability, detect anomalies, and enhance operational performance.
• Drive the Data Platform roadmap, aligning engineering, analytics, and business stakeholders with transparent progress and measurable impact.
• Cultivate a culture of continuous improvement using metrics and retrospectives to increase throughput, quality, and delivery predictability.
• Represent the engineering voice in cross-functional planning and clearly communicate technical dependencies, risks, and opportunities.
• Mentor junior Scrum Masters and influence agile practices to boost team productivity and engagement.

Requirements

• 5+ years of experience in Data Engineering, Product Ownership, or Technical Program Management 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 backlogs, define roadmaps, and drive delivery through Agile methodologies.
• Excellent communication and stakeholder management skills across technical and non-technical audiences.

Technologies

• Databricks
• dbt
• Fivetran
• Kafka
• Census
• Azure Data Services
• SSIS
• Tableau
• Collibra
• GitHub Copilot
• ADO
• Databricks Assistant
• Databricks notebooks

Key Details

• Direct Hire / Perm
• Location: Onsite in La Jolla, San Diego (candidate must be local or willing to relocate)
• Pay: USD 120,000 - 140,000 per year plus a 20% bonus

What Success Looks Like

• A transparent and trusted roadmap for the data platform.
• Consistent, high-quality, governed data delivery across the organization.
• Improved team velocity and reduced cycle time through automation and AI augmentation.
• Strong relationships and alignment across business, analytics, and engineering teams.
• A scalable, AI-enabled platform foundation that supports future data products and innovation.