VP, Data Product Manager (Data Platform)

Ledgent Technology; San Diego (CA); On-site; USD 120,000 - 140,000; Full time

Job summary

Ledgent Technology is seeking a Data Product Manager situated in San Diego to take ownership of a modern AI-ready data platform. The role emphasizes defining the vision, shaping the roadmap, and delivering measurable outcomes that enhance analytics and business innovation.

The ideal candidate will have over 5 years of experience in data product management, a solid understanding of data architecture, and strong stakeholder management skills. Target compensation ranges from $120k to $140k annually plus a 20% bonus.

Qualifications

• 5+ years of experience in Data Product Management or Technical Product Management.
• Experience owning a data platform or data product roadmap end-to-end.
• Strong understanding of data engineering concepts.

Responsibilities

• Define the vision and shape the roadmap of the data platform.
• Drive measurable outcomes powering analytics and AI.
• Collaborate with data engineering teams on technical decisions.

Skills

Data Product Management

Stakeholder management

Understanding of data architecture

Prioritization based on business impact

Technical product management

Tools

Databricks

Azure Data Services

Tableau

Kafka

Fivetran

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)

• 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.