Lead Product Manager, Data Sources

About the role

This Lead Product Manager will be responsible for the Data Sources platform at Truv, focusing on systems that gather, process, and validate consumer financial data. The core objective is to improve data coverage, quality, and reliability across all Truv products. This involves managing the roadmap for these systems and ensuring they support the company's data verification infrastructure.

The role requires close collaboration with multiple internal teams, including Engineering, Data Science, Fraud, Operations, Customer Success, and Go-To-Market. Success in this position means delivering impactful products that strengthen Truv's ability to provide accurate and seamless consumer verification. The platform is foundational for document ingestion, fraud detection, and bank connectivity.

A key aspect of the work involves translating complex data requirements into clear product roadmaps and measurable outcomes. The individual will define success metrics and track progress, ensuring that the data platform effectively supports Truv's expansion of its data network and verification capabilities. This position is central to enhancing the company's core infrastructure.

The salary range for this position is between $161,000 and $253,000.

Skills that matter here

• data pipelines: This role owns the execution of the roadmap for systems that collect and process consumer financial data, which includes managing data pipelines.
• APIs: The Data Sources platform is involved in bank connectivity and data ingestion, which relies on robust API integrations.
• cloud-based data tooling: The role requires experience with scalable platform features, suggesting familiarity with modern cloud-based data solutions.
• data orchestration: Improving data coverage, quality, and reliability across the platform involves effective data orchestration.
• metadata management: Ensuring data quality and reliability often involves strong metadata management practices.
• fraud systems: The Data Sources platform is explicitly stated as powering fraud detection across Truv products, requiring collaboration with fraud risk teams.

Who this role suits

• A product manager with a proven history of delivering features for data-intensive, scalable platforms.
• Someone adept at collaborating across diverse functional teams, including engineering, data science, and operations.
• An individual with a deep understanding of data ingestion, processing, validation, and quality frameworks.
• A person who can translate intricate data requirements into clear, actionable roadmaps with defined success metrics.

From the employer

What you’ll do

• Own the execution of the roadmap for systems that collect, process, and validate consumer financial data.
• Build scalable capabilities that improve data coverage, quality, reliability, and trust across Truv's platform.
• Work closely with Engineering, Data Science, Fraud, Operations, Customer Success, and GTM teams to deliver impactful products.

Who you are

• Experienced product manager with a track record of delivering data-intensive, scalable platform features.
• Strong collaboration skills across cross-functional teams (Engineering, Data Science, Fraud, Operations, Customer Success, GTM).
• Deep understanding of data ingestion, processing, validation, quality, and reliability.
• Ability to translate complex data requirements into clear roadmaps and measurable outcomes.

Requirements

• Proven experience as a product manager for data platforms or data sources, with ownership of end-to-end delivery.
• Experience coordinating with data engineering, ML, and fraud risk teams.
• Strong problem-solving skills and data-driven decision making.
• Ability to define success metrics and track progress against them.
• Excellent communication and stakeholder management.

Qualifications

• Bachelor’s degree in a relevant field; MBA or advanced degree a plus.
• 5+ years of product management experience in data-intensive environments.
• Experience with data ingestion, data quality frameworks, data lineage, and data reliability concepts.

Benefits & perks

• Competitive compensation, equity, health benefits, and opportunities for professional growth.
• Collaborative, fast-paced environment with a strong focus on impact and product excellence.