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 model, influencing design decisions through business context rather than owning UX design directly.
• Design the workflow for how data breaks (discrepancies between source data and ontology) are surfaced, triaged, and resolved by business users.
• Partner with Data Governance and Compliance teams to ensure the ontology capture framework and mapping processes align with enterprise data standards and regulatory expectations.

Stakeholder & Engineering Partnership

• Act as the primary product-facing point of contact for business stakeholders across a variety of use cases, gathering requirements, understanding pain points, and setting expectations on delivery.
• Facilitate alignment across business teams with differing definitions or requirements for the same underlying data concepts.
• Communicate roadmap, trade-offs, and progress to business and senior stakeholders in terms they can act on.
• Participate in technical design discussions as the product/business voice, and constructively challenge engineering approaches when needed, ensuring proposed solutions solve the underlying business problem.
• Plan for and track dependencies on business teams for ontology definitions, mappings, and rules/breaks criteria, since these are inputs the business teams themselves own and must provide; proactively identify what is needed from each team, by when, and escalate when business-side input is at risk of slipping and blocking delivery.
• Build these business-dependency timelines into the roadmap alongside engineering delivery timelines, so the platform's schedule reflects both engineering capacity and the pace at which business teams can define and validate their ontology inputs.

Minimum Qualifications:

• 5-8 years of Product Management experience, specifically within data-intensive platforms (e.g., MDM, Knowledge Graphs, Data Mesh, or Enterprise Data Warehousing).
• Deep understanding of data modeling concepts. While coding is not required, you should be comfortable discussing graph databases (RDF, SPARQL, Property Graphs), APIs, and ETL/ELT patterns with engineers.
• Proven track record of managing a platform-on-platform dependency: experience working with a separate infrastructure/foundational team to enable a higher-level product.
• Ability to navigate complex, messy data environments and synthesize a clean, canonical structure from conflicting source definitions.
• Exceptional stakeholder management skills: able to communicate credibly with both a deep-technical engineering lead and non-technical business executives.
• Experience in Financial Services or another highly regulated industry, where auditability and data correctness are non-negotiable, is strongly preferred.

Would Be Great if You also:

• Familiarity with ontology standards (OWL, RDF) or experience building a Knowledge Graph.
• Experience with metadata management tools or data cataloging software.
• Experience leading a team through the "0 to 1" phase of a product launch within a large corporate environment (a plus, not required).

 

 

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

 

 

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

 

 

Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.

New Jersey: The expected base salary for the position is between 150000 USD to 160000 USD. Other States expected base salary for the position is between 150000 USD to 160000 USD. Massachusetts: The expected base salary for the position is between 150000 USD to 160000 USD.

 

 

In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company’s discretion.

 

 

 

 

Applications will be accepted on an ongoing basis until the position is filled.

 

 

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.