Senior Lead Product Manager - Data Products

What You’ll Do

• Own the end-to-end data product strategy for Siepe — including security master, issuer master, loan identifiers, market data integrations, pricing sources, and reference data normalization. 
• Establish the long-term data vision, defining how Siepe delivers trusted, timely, lineage-aware data across the entire platform. 
• Mentor a high-performing data product team, including PMs and data analysts. 
• Define clear ownership models and KPIs for data domains (accuracy, completeness, lineage, timeliness, SLA adherence). 
• Lead the roadmap for Siepe’s security master & instrument reference — covering bank debt, private credit, public fixed income, equity, structured products, and hybrid instruments. 
• Own market data and pricing integrations, including evaluated pricing, terms/conditions data, rating agency feeds, and agent bank sources. 
• Partner with Engineering to design scalable data pipelines, validation frameworks, and reconciliation tools that support complex credit workflows. 
• Oversee client-facing and internal data management tools that streamline ingestion, exception handling, and corrections. 
• Work closely with Operations to understand client data pain points, exceptions, break rates, and data workflow inefficiencies. 
• Partner with Engineering to define data models, schemas, and transformation logic consistent across the platform. 
• Collaborate with the OMS, Compliance, Analytics, and AI teams to ensure reliable, well-governed data powers all downstream experiences. 
• Engage directly with clients and industry partners to validate direction and ensure Siepe sets the standard for credit data excellence. 
• Partner with our AI/Agent team to automate data quality checks, anomaly detection, reconciliation, and enrichment workflows. 
• Champion the use of metadata, lineage, and observability tools to increase trust and transparency in Siepe’s data. 

What You’ll Bring

• 7-10+ years working with financial datasets, focused on bank debt, private credit, public fixed income, and structured products. 
• Deep expertise with securities reference data, pricing sources, issuer hierarchies, ratings, amortization schedules, contract details, accruals and credit market data vendors (e.g., ICE, Markit, Bloomberg, Refinitiv). 
• Experience building security masters, data quality frameworks, or data ingestion pipelines in a fintech or financial services environment. 
• Strong understanding of data modeling, normalization, and lineage concepts. 
• Proven ability to mentor and inspire multidisciplinary teams (PMs, data analysts, data engineers). 
• A passion for data — and a clear sense of what “great data” looks like in terms of accuracy, completeness, and usability. 
• Ability to operate in a fast-paced, growth-stage environment with evolving priorities. 
• Exceptional communication skills, particularly in bridging technical, operational, and business perspectives.