Product Manager - Data Ingestion

About the role

We are hiring a Product Manager to work within our Data tribe, specifically owning our data ingestion platform - the engine that identifies, extracts and processes the raw intelligence that powers everything ComplyAdvantage does. You will own the Product requirements for our Customer Risk squad, delivering holistic AML risk scores, and the underlying customer capabilities that support this. The Data tribe's work is strategically driven rather than customer-driven. The roadmap is shaped by the company's AI roadmap, set at executive level and mapped to a product execution strategy by the VP Product and Product Director. For this squad, that means building a new scalable platform with reusable tools for data identification and extraction, deploying LLMs to improve data processing at scale, and maintaining the pipeline robustness that over 1,000 clients depend on every day. Requirements from the Risk Applications tribe also cascade into Data as derived requirements - particularly around data quality and the ability for clients to explain their decision-making to financial regulators. The PM operates at the intersection of two forces: the strategic execution plan set by the VP Product and Product Director, and the derived requirements flowing from the applications that depend on Data's capabilities. You will work within a dedicated squad alongside an engineering manager and a team that typically includes data engineers, ML engineers and back-end engineers. The Product Manager and Engineering Manager work as peers: you own the commercial and product context, the EM owns the technical context. Neither reports to the other. You operate within a framework set by the Product Director and are expected to use judgement in balancing competing priorities, not to set strategic direction independently. You will operate within a structured product operating model with clear decision rights. Plans are framed as returns on engineering investment, not feature lists. We work in six-week blocks, with quality gates at each stage of the document flow from Plan of Record to PRD to product requirements to implementation. If you have worked in organisations where product management is disciplined and structured, this will feel familiar.

Responsibilities

• Set and track meaningful metrics. Define the key metrics that track progress toward the product vision - across pipeline performance, data quality, coverage and client impact. Use these to inform priorities and communicate progress to stakeholders.
• Provide research and insight. Synthesise customer feedback, competitive intelligence, usage data and market research into inputs the Produ

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Company Intel

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