VP, Data Product Manager (Data Platform) Ledgent Technology
- 3.9 San Diego, CA Job Details $120,000
- $140,000 a year 2 days ago Qualifications Roadmap creation (System development task) Cloud analytics services Data Integration (Data management) Data Architecture Design (Architecture design skills) Bank experience Project stakeholder communication Stakeholder relationship building Data analytics technologies Technical product management within tech Stakeholder management Full Job Description Must have Banking of Financial Services background and be able to sit onsite 100% in San Diego C2C and 3rd Party Candidates will not be considered Target Pay is $120•140k annually along with a 20% bonus My client is building a modern, AI-ready data platform-and they're looking for a true data product leader to own it.
This is not a project or delivery role. You will operate as a product owner for their enterprise data platform, responsible for defining the vision, shaping the roadmap, and driving measurable outcomes that power analytics, AI, and business innovation across the bank. You'll sit at the intersection of data engineering, product strategy, and business impact, turning complex technical capabilities into scalable, high-value data products used across the organization. What You Bring 5+ years of experience in Data Product Management, Technical Product Management, or Product Ownership within modern data environments Proven experience owning a data platform or data product roadmap end-to-end Strong understanding of data architecture and pipelines (ingestion transformation storage serving) Experience partnering deeply with data engineering teams and influencing technical decisions Demonstrated ability to define product success metrics (e.g., adoption, reliability, performance, data quality) Experience driving prioritization decisions based on business impact Strong stakeholder management skills with the ability to push back, align, and influence across technical and non-technical audiences Technical Environment (Familiarity Required) You don't need to be hands-on coding daily, but you should be technically fluent in modern data ecosystems: Databricks, dbt, Kafka, Fivetran, Census Azure Data Services and cloud-based data platforms BI & analytics tools (e.g., Tableau) Data governance and catalog tools (e.g., Collibra) All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.
