As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 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

What You’ll Do:

• Work closely with Solutions, Engineering, and Product leadership to define the strategy for our enterprise data platform, including vision, goals, roadmap, and measurable KPIs aligned with business and technology needs.
• Partner with data engineering, cloud infrastructure, security, and application product teams to deliver scalable, secure, and intelligent data services and products.
• Act as a key voice in decisions around data architecture, platform evolution, and use of AI/ML to enhance automation, decision-making, and client outcomes.
• Drive adoption and evolution of platform capabilities including data integration, cataloging, identity & access management (IAM), governance, observability, and compliance.
• Help grow a team of product managers, mentoring them in product thinking, stakeholder communication, prioritization, and technical fluency.
• Serve as a trusted cross-functional leader, translating complex technical requirements into actionable product plans and delivering value iteratively.
• Support internal and external use cases for data access, analytics, API delivery, and reporting within a regulated enterprise context.
• Champion best practices in platform product management and agile development in a fast-paced, continuous delivery environment.

​What We’re Looking For:

Required Experience:

• 10+ years in product management with at least 3 years in a senior or director-level leadership role focused on data platforms, enterprise data products, or infrastructure tooling.
• Demonstrated ability to lead high-performing product and cross-functional teams in dynamic, collaborative environments
• Hands-on experience building or managing products involving big data, cloud-native technologies (AWS, Azure, or GCP), data pipelines, and/or AI/ML services.
• Strong understanding of identity and access management (IAM), data security, governance, and compliance requirements in enterprise environments.
• Proven ability to define and communicate platform strategies and bring new products or major initiatives to market.
• Experience with enterprise B2B software, ideally in financial services, fintech, or investment management domains.
• Technical literacy to engage deeply with engineers and architects, ideally with experience in data engineering or adjacent technical roles.
• Experience with API-driven architecture and enabling data-as-a-service in a multi-product ecosystem.
• Familiarity with modern data stack tools (e.g., Snowflake, Databricks, Kafka, dbt, Airflow, Looker/Tableau, GraphQL).

Who You Are:

• A strategic thinker who can balance long-term vision with short-term execution.
• A hands-on leader who thrives in the details and works directly with teams to unblock, decide, and deliver.
• A product leader with deep customer empathy who understands both technical and business contexts.
• Adaptable and energized by a collaborative team culture where high agency, urgency, and healthy conflict drive progress.
• An excellent communicator and storyteller, comfortable with ambiguity and leading through influence across functions.
• Passionate about building platforms that enable scale, innovation, and business transformation.

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 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.