Senior Product Manager - Data Solutions

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide. They are seeking a strategic, technically adept Senior Product Manager to lead the evolution of Nexus, their unified data access layer, ensuring high-performance and compliant data experiences.

Responsibilities:

• Craft, articulate, and champion the strategic vision for Nexus as FactSet’s unified data access layer, ensuring alignment with overall platform goals and business objectives
• In collaboration with architects and engineering, define and communicate product objectives, key results (OKRs), milestones, risks, and critical dependencies for Nexus
• Identify and promote opportunities for value creation through seamless, high-performance, and compliant data access
• Define, own, and maintain the Nexus product roadmap, balancing technical innovation with evolving customer and business requirements
• Establish and track short- and long-term goals, success metrics, OKRs, key deliverables, and timelines for the Nexus platform in collaboration with cross-functional teams
• Develop strong relationships with data consumers across product and engineering teams to deeply understand their use cases, challenges, expectations, and desired outcomes with the data access platform
• Facilitate ongoing feedback collection and requirements gathering to inform product direction, resolve pain points, and prioritize solutions
• Serve as the voice of the customer in cross-functional conversations, ensuring Nexus delivers value to analytics, data transformation, and downstream application teams
• Develop a deep understanding of data lifecycle, distribution patterns, transformations and entitlements in FactSet’s platform
• Drive product and technical solutions that orchestrate efficient query patterns, materialize data from diverse sources, and enforce access controls for performance and compliance
• Leverage catalog metadata to ensure Nexus consistently delivers high-quality data to downstream teams and applications
• Partner with engineering to define and achieve performance targets (latency, throughput, reliability) for data retrieval and distribution
• Ensure Nexus enforces all required entitlements, meeting data access, regulatory, legal, and contractual obligations
• Proactively identify and manage risks (technical, compliance, delivery), and maintain awareness of dependencies across other workstreams affecting on-time delivery and system stability
• Educate and enable product and engineering teams to integrate with Nexus through development of guides, documentation, and best practices for consistent data access and transformation
• Advocate for Nexus adoption across FactSet’s client facing products starting with AI Products and extending to legacy products, supporting unified standards and driving increased adoption
• Oversee the end-to-end product lifecycle: ideation, requirements, development, launch, and ongoing optimization
• Continuously monitor key metrics, usage patterns, outcomes, and stakeholder feedback to identify improvements and drive innovation
• Iterate on the Nexus platform to address scalability, performance, usability, and compliance as business needs evolve

Requirements:

• 7+ years of product management experience, preferably within data platforms or API-driven ecosystems
• Strong track record of defining product strategy, translating complex problems into actionable roadmaps, and delivering cross-functional outcomes through collaboration and influence
• Excellent communication and executive presentation skills, with the ability to simplify complex technical concepts for non-technical stakeholders
• Data-driven mindset with strong analytical skills, including experience using metrics, dashboards, and customer feedback to guide product decisions
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field required; advanced degree preferred
• Experience with modern data technologies such as Spark, Flink, Airflow, Databricks, cloud platforms (AWS/Azure/GCP), APIs, query engines and programming languages such as Python, SQL
• Strong understanding of financial data platforms, industry trends, and alternative data solutions
• Knowledge of structured/unstructured data creation, governance, metadata, and data pipeline distribution
• Familiarity with compute logic, including aggregation, transformations, date math, symbology, and unit conversion
• Understanding of distributed systems, caching, SLA management, entitlement/licensing models, and compliance practices