Senior Engineering Manager, Ontology Platform

🔥 16 hours ago

🏖️ New Jersey, Massachusetts – Remote

🏖️ New Jersey – Remote 🍂 Massachusetts – Remote

💵 $185k - $195k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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SS&C Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

SS&C Technologies is a global leader in financial services and healthcare technology, recognized as the world’s largest independent hedge fund and private equity administrator, as well as the largest mutual fund transfer agency. The company offers a comprehensive range of solutions including asset management, banking, healthcare, insurance, and wealth management, leveraging proprietary software and extensive expertise to meet the operational needs of clients across multiple industries.

📋 Description

• Build, lead, and grow an initial team of 5-6 engineers • Hire, manage performance, support career development, and provide day-to-day people leadership • Set team structure, priorities, and delivery roadmap with product and business stakeholders • Establish engineering culture and practices, including code reviews, on-call rotation, delivery cadence, and technical documentation • Remain hands-on in architecture, code reviews, and implementation of critical components • Represent the team and platform roadmap to senior stakeholders • Set and model agentic SDLC adoption using AI coding agents • Own architecture for services, APIs, and data pipelines ingesting source-system data and applying ontology mappings • Make technical decisions on graph databases, relational stores, schema/graph modeling, indexing, and performance • Guide configuration tools for mappings, rules, and exception handling • Ensure production-quality ingestion connectors, transformation logic, validation engines, and break-detection pipelines • Establish version control, automated testing, CI/CD, and observability practices • Design extensible configuration and integration points for new systems, domains, and rules • Define and evolve the enterprise ontology and translate it into schemas, graph structures, or data contracts • Lead source-to-ontology mappings and reconciliation of differing system definitions • Direct rules and validation frameworks for detecting, triaging, and resolving data breaks • Leverage and extend the foundational enterprise data platform • Partner with the data platform team on capability gaps, shared roadmaps, and design decisions • Translate business, regulatory, governance, and compliance requirements into engineering and product decisions • Manage technical debt and platform evolution

🎯 Requirements

• 8-12 years of software/data engineering experience, including designing and building production-grade platforms or services • Prior experience as an Engineering Manager or equivalent, with direct people-management responsibility for engineers • Proficiency in at least one modern backend language, such as Python, Java, Scala, or Go • Experience with API design, service architecture, and testable, maintainable production code • Experience designing and implementing data modeling/mapping frameworks • Practical experience with graph databases and/or semantic web standards such as RDF, OWL, and SPARQL, or equivalent alternative modeling technologies • Experience building configurable, multi-tenant-style platforms or internal products • Solid database and data engineering skills across relational and non-relational systems • Experience with data pipelines, ETL/ELT, and large-scale heterogeneous data sources • Experience with CI/CD, automated testing, infrastructure-as-code, and observability/monitoring • Experience building on top of a shared/foundational enterprise data platform • Strong communication skills with business, compliance, and senior stakeholders • Practical hands-on experience using AI coding agents such as Claude Code or GitHub Copilot as a core development workflow • Experience in financial services data environments is a plus • Experience with enterprise ontology, knowledge graph, or MDM platforms is desirable • Experience growing a small engineering team is desirable • Experience with cloud-native architectures and data platforms is desirable • Familiarity with data governance and metadata management tooling is desirable • Background in financial services, asset management, or another regulated, data-intensive industry is desirable

🏖️ Benefits

• Medical, dental, and vision coverage • 401(k) plan with company match • Paid time off • Holidays • Parental leave • Professional development reimbursement opportunity • Eligibility for discretionary annual bonus • Eligibility for equity awards, such as restricted stock units or stock options