Senior Product Manager (PDI)

NerdWallet is on a mission to bring clarity to all of life’s financial decisions, and they are seeking a Senior Product Manager to lead the strategy and execution of their partner data ingestion and reporting ecosystem. This role involves ensuring partner data accuracy and reliability, collaborating with cross-functional teams, and driving impactful data initiatives.

Responsibilities:

• Develop, maintain, and communicate a clear product roadmap for partner data ingestion, transformation, and reporting
• Identify and prioritize the highest-impact opportunities using business metrics, customer feedback, and technical insights
• Communicate tradeoffs clearly and gracefully to stakeholders when initiatives cannot be prioritized 'right now.'
• Ensure accuracy, completeness, and reliability across all partner data pipelines, including ingestion, validation, modeling, and reporting
• Work with program management, data engineering, product engineering, analytics, and marketing to reduce data quality issues and build a robust data observability layer
• Identify problems and opportunities your customers may not yet see
• Collaborate with cross-functional partners to ensure partner data powers marketing optimization, revenue reporting, decision-making, and long-term strategy
• Translate business needs into clear technical requirements that guide engineering execution
• Mentor team members and cultivate a culture that understands the value and impact of data products, not just the PM

Requirements:

• 7+ years of product management experience, preferably in fintech, consumer finance, lead generation, or data-centric products
• Demonstrated success launching impactful data or platform initiatives at scale
• Strong data literacy—able to write SQL, understand relational models, and reason about data flows end-to-end
• Deep understanding of ETL/ELT processes, APIs, data pipelines, and integration patterns
• Ability to hold technical conversations with senior engineers and guide technical tradeoffs
• Strong understanding of performance marketing and lead generation economics
• Exceptional communication and stakeholder influence skills across technical and non-technical teams
• Proven ability to translate ambiguous business needs into clear product requirements
• Understanding of Lakehouse architectures, query engines, and compute platforms (e.g., Spark, Trino, Databricks, Snowflake)
• Experience building or shipping APIs, SDKs, data contracts, or client integration frameworks
• Familiarity with data observability, telemetry, instrumentation, and monitoring best practices
• Hands-on experience managing high-volume, multi-source datasets from a product perspective