Product Manager

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description Product Manager, Ontology Platform About the Team: We are seeking a strategic and technical Senior Product Manager to own the vision, roadmap, and delivery of our Enterprise Ontology Platform. This platform is the intelligence layer of our data ecosystem, ingesting heterogeneous data from across the firm and mapping it to a canonical, enterprise-wide ontology. You will work closely with the Ontology Platform Engineering Lead and a team of 5-6 engineers, translating business and regulatory needs into a scalable product, while also being technical enough to engage credibly with engineers on architecture and design trade-offs.

A critical part of this role is managing the dependency between the ontology platform and the enterprise’s Foundational Data Platform. There is currently no dedicated product function on the foundational platform side, so this role carries a dual responsibility: representing the ontology platform’s needs while also helping shape and prioritize the foundational platform capabilities that the ontology platform depends on.

This role starts scoped to the ontology platform, with room to grow into a broader remit (e.g., adjacent data products, a larger PM organization) as the platform and business impact scale.

Day to Day: Product Vision & Roadmap Management

• Define the product strategy: translate business goals into a multi-year vision for the ontology platform, moving from initial build-out to a mature, self-service ecosystem.
• Own the end-to-end product roadmap, balancing the delivery of immediate business wins (specific data source mappings) with long-term platform scalability (configurable rules engine, improved break-detection).
• Convert ambiguous or conflicting business needs into detailed product requirements, user stories, and acceptance criteria that a team of 5-6 engineers can execute against without significant back-and-forth.
• Manage the backlog using a data-driven approach, weighing trade-offs between new feature development, technical debt, and production support.
• Define and track success metrics for the platform (e.g., onboarding time for new sources, break resolution rates, mapping coverage) and use them to inform prioritization.

Data Platform Alignment & Capability Build

• Serve as the primary point of contact between the ontology platform and the Foundational Data Platform team’s engineering leadership. There is no dedicated product function on the foundational platform side today, so this role carries dual responsibility: representing the ontology platform’s needs and helping shape/prioritize foundational platform capabilities on its behalf.
• Proactively identify capability gaps between what the foundational data platform provides and what the ontology platform requires.
• Lead build-vs-leverage analysis: decide whether a needed capability should be built bespoke within the ontology layer, or whether it makes more sense to advocate for a generic capability on the foundational platform for broader enterprise benefit, and drive that decision through to prioritization on whichever roadmap it lands on.
• Given the absence of a counterpart PM on the foundational platform side, take ownership of articulating foundational platform requirements clearly enough for its engineering team to plan against, effectively acting as the voice of the business need on both sides of that boundary.
• Track dependencies on the foundational data platform’s roadmap and proactively flag risks to the ontology platform’s own delivery timelines.

Ontology & Configuration

• Ensure the platform provides a flexible, extensible framework for capturing and evolving ontology definitions (entities, relationships, attributes) that are defined and owned by the business teams themselves, not by product or engineering.
• Understand business users’ needs for managing mappings and rules, and work collaboratively with the Engineering Lead to shape the configuration workflow and interaction mode…