FactSet

Financial Planning and Analysis

• Lead the conceptualization, development, and ongoing management of FIG content sets focused on banks and specialty finance companies in EMEA and APAC
• Identify, analyze, and integrate regulatory sources and filings across regions, ensuring full alignment with nuanced local reporting requirements and practices
• Ensure that financial frameworks fully account for regional regulatory and industry nuances
• Design, build, and maintain industry models and content templates for the template library, incorporating diverse regional standards
• Lead the creation, management, and enhancement of sector-specific content for banks and specialty finance firms in EMEA and/or APAC regions
• Acquire, validate, and interpret data from regulatory filings, supervisory authorities, and industry disclosures
• Monitor regulatory developments and translate complex regulatory requirements into actionable insights for investment professionals
• Assess, communicate, and update clients and internal teams on how regulations (Basel standards, local capital frameworks, etc.) affect bank and specialty finance company valuations and investment decisions
• Collaborate closely with product and engineering teams, sales reps, and clients in the region to strengthen our offering through subject matter expertise and thought leadership
• Utilize technical skills (e.g., SQL, Python) to automate processes, perform advanced data analysis, and improve content initiatives
• Interface with external stakeholders such as regional regulators, data vendors, and industry experts to expand source coverage and enrich our content library
• Support commercial and client-facing teams by providing deep regulatory and content expertise as needed

Content Manager – Deep Sector Banks, Specialty Finance

Engineering Manager

• Manage a team of software engineers or projects within the Search and Look Up department
• Review product requirement documents
• Problem solving and working on high-level (operational or architectural) issues to ensure effectiveness of products under direct management
• Implements and tracks development timelines, and negotiates feature sets with development leads and product teams
• Sets goals and mentors development of ongoing projects
• Provides guidance and direction to team on software design and implementation
• Reviews code changes and submissions
• Presents technical & operational issues to senior management and sets deadlines and priorities for team members
• Helps to coordinate recruiting, training and new hire onboarding for immediate team.

Software Engineering Manager

Product Manager

• Define and own the multi-year product strategy for FactSet's AI Data Mesh.
• Develop a clear point of view on the three primary distribution archetypes and how FactSet should prioritize and sequence investment across them: inbound data flow via MCP and cloud data shares; interoperability with client-operated AI platforms (Claude, ChatGPT, Microsoft Copilot, and others); and full-push distribution into Snowflake, Databricks, and similar data lakehouse environments.
• Stay at the forefront of the rapidly evolving MCP and agentic AI ecosystem — tracking standards, competitive moves and emerging client deployment patterns.
• Translate strategy into a rigorous, sequenced product roadmap with clear success metrics, technical dependencies, and commercial milestones.
• Work directly with engineering, data architecture, and AI research teams to drive delivery — writing detailed product requirements, participating in architecture reviews, and maintaining accountability for outcomes.
• Define data governance, lineage, and access control frameworks that meet the compliance and security standards of financial services clients.
• Serve as the primary voice of the customer for this product space — conducting regular discovery with client data engineering teams, investment technology leaders, and enterprise architects to validate hypotheses and surface new requirements.
• Partner with Solutions Engineering and GTM teams to define positioning, packaging, and go-to-market motions for each archetype.
• Engage clients at executive level during key sales and partnership discussions.
• Build and maintain an informed perspective on the competitive landscape, with particular attention to moves within financial services and the broader MCP ecosystem.
• Serve as one of FactSet's internal authorities on MCP and related agentic AI protocols — defining how FactSet implements, extends, and governs these standards across distribution archetypes.
• Define the technical standards and data contracts that enable reliable, governed AI operation across heterogeneous client environments.
• Evaluate and make build/buy/partner decisions for key platform capabilities in collaboration with architecture and engineering leadership.
• Align stakeholders across product, engineering, data, GTM, and the C-suite on strategy and priorities.
• Mentor other product managers across the organization as this product space grows.

Principal Product Manager, AI Data Solutions

Risk

• Establish and lead FactSet's technology risk function
• Define a technology risk taxonomy and scoring model
• Produce clear, quantified risk profiles that connect technology risks to business outcomes
• Partner with engineering, platform, and product leaders for risk assessments
• Build and maintain a centralized technology risk register
• Establish governance forums and reporting cadences
• Define, track, and report on KRIs and KPIs
• Embed technology risk considerations into architecture decisions
• Collaborate with Legal, Compliance, Finance, and Internal Audit
• Build and develop a high-performing technology risk team
• Design and deliver technology risk literacy programs

Director, Technology Risk

Backend Engineer

• Design, build, and evolve scalable software solutions and tooling to improve operational efficiency and scalability across the Services platform
• Design and implement an evaluation framework for MCP servers and tools in the Services ecosystem
• Lead technical implementation of automation and tooling initiatives that support growth of managed and operational services
• Contribute hands-on to complex codebases, system integrations, and critical production workflows
• Partner with Product Management, Operations, and other engineering teams to translate business needs into effective technical solutions
• Participate in technical design reviews and help guide architectural decisions to ensure maintainability and long-term scalability
• Collaborate with clients and internal stakeholders to understand service workflows, constraints, and evolving requirements
• Mentor and support other engineers through code reviews, technical guidance, and best practice sharing
• Help drive engineering excellence around code quality, testing, reliability, and operational best practices

Senior Software Engineer, Python, Agentic AI

Software Engineer

• Define and execute the roadmap for FactSet's transition to agentic development
• Own the vision for how AI reshapes every stage of the software delivery lifecycle, from requirements decomposition through code generation and review to testing, security, deployment, and operations
• Partner with Developer Enablement, Product Management Excellence, and the AI Foundry to shape the portfolio of AI development tools across FactSet and the emerging ecosystem of agentic coding platforms
• Build and sustain the internal community around agentic development
• Own the strategy for how FactSet allocates, tracks, and governs token and compute spend as agentic software development workflows scale
• Define what success looks like and own the metrics for engineering velocity, code quality, and developer experience

Director of Software Development

• Project Planning & Backlog Prioritization: Leverage Software Development Life Cycle (SDLC) methodologies, including Agile, Kanban, and Scrum.
• Utilize JIRA to configure EPICs, story boards, Tasks, and testing environments.
• Scope & Goals Definition: Collaborate with stakeholders to establish clear project objectives, deliverables, and boundaries.
• Translate project requirements into JIRA story cards, ensuring test criteria and delivery expectations are captured.
• Progress Tracking: Monitor project tasks, performance, and timelines to ensure alignment with plans.
• Proactively manage and document support requests, classifying and assigning KTLO (Keep the Lights On) and BAU (Business As Usual) tickets based on complexity and priority.
• Stakeholder Communication: Provide clear and consistent updates on project plans, execution, and development status to key stakeholders and team members.
• Organization & Resource Management: Lead Agile sprint planning meetings, assign tasks, and allocate resources to maximize team productivity and success.
• Leadership: Exhibit a servant leadership style, fostering collaboration and empowering team members to fulfil their roles effectively.

Associate Product Manager – Energy

Customer Support

• Review and convert client Financial Excel models using FactSet’s Deep Sector data
• Partner with strategic clients and prospects to become a trusted resource during trials, implementations, and other strategic engagements
• Own the end-to-end workflow conversion process across Deep Sector-related engagements and opportunities
• Contribute to the development of our Deep Sector offering by relaying granular product-specific feedback, feature requests and opportunities for differentiation that is grounded in real client experience.

Client Implementation & Support Specialist

Sales

• Own the end-to-end sales process for Real-Time Exchange Datafeed and Tick History solutions
• Collaborate closely with FactSet’s New Business team and established account owners
• Leverage deep industry and technical expertise
• Drive pipeline growth through proactive outreach, industry networking, and targeted prospecting across assigned segments
• Maintain a disciplined, KPI-driven approach to achieving and exceedingpersonal and team sales targets
• Utilize technology platforms and CRM tools for pipeline management and reporting
• Deliver an exceptional client experience

Senior Sales Specialist, Real Time

• Lead the development of a new product space empowering clients with AI
• Define and own the multi-year product strategy for FactSet's AI Data Mesh
• Collaborate with engineering and partners to deliver impactful solutions
• Mentor other product managers across the organization as product space grows

Principal Product Manager, AI Data Mesh

Program Manager

• Own and execute the entire Pricing and Reference Data investment program throughout all phases of the SDLC
• Lead and mentor Project Managers working under the program
• Act as the primary client-facing and stakeholder-facing leader from the PMO, building trusted relationships internally and externally
• Create project plans cooperatively with the engineering and product development stakeholders
• Establish and consistently maintain a productive environment for successful cross-functional collaboration
• Effectively manage key project areas, including requirements gathering, quality measures, scope, timelines, budgets, risks, communications, stakeholders, and overall project quality
• Collect and analyze feedback from customers, stakeholders and other teams to shape requirements, evaluate business benefits/costs and drive business meaningful outcomes for the organization
• Clearly communicate project execution plan and development status with key stakeholders in a visible and consistent fashion
• Establish transparent, consistent, low bureaucracy and repeatable project management best practices for engineering and product development resources

Principal Program Manager – Pricing & Reference Data

Data Analyst

• Participate in the extraction, cleaning, and transformation of large, complex datasets
• Take control of data products, utilizing human-in-the-loop data curation and validation software
• Partner with sales/consulting, data providers, and clients to understand their workflows
• Translate client insights into product requirements and user stories
• Work closely with engineering, QA, UX, and other specialized data teams
• Develop and deliver presentations and demos of Media sector offerings
• Mentor and train team members in content collection and integration processes
• Actively monitor the competitive landscape for data partnership or acquisition opportunities.

Media Data Analyst

Technical Account Manager

• Serve as an internal and external point of expertise for PRD clients, helping to facilitate escalations, concerns, and overall account sentiment
• Apply FactSet proprietary coding and screening expertise to support client technical and workflow needs, translating business objectives into data logic and queries
• Consult with clients, product managers, and engineering teams to advise on PRD content, enhancements, upsell opportunities, and any risks
• Close collaboration with DSO Implementation, client services, and with Level 2 Data Excellence teams
• Proactively partner with client services to identify gaps, enhancements, and trends in the PRD solutions to address with internal and external stakeholders
• Liaise the troubleshooting of complex data issues, reconciling of mismatches, and resolution of challenges with feed integrations to maintain consistency and reliability
• Develop training materials and deliver sessions (internal and external) to promote understanding of client PRD processes
• Deliver ongoing education and mentorship for colleagues and clients—helping them better leverage core PRD capabilities and how they are being used by clients
• Contribute to product development initiatives and fact-finding for new data features and content launches based on client feedback
• Cross regional collaboration standards to ensure consistent approach to existing and prospective PRD clients

Technical Account Manager, Pricing and Reference Datafeeds

Content Marketing Manager

• Serve as the internal and external point of expertise for PRD data content, providing guidance on instrument structures, identifiers, data definitions, and quality standards
• Apply FactSet proprietary coding and screening expertise to support client technical and workflow needs, translating business objectives into data logic and queries
• Consult with clients, product managers, and engineering teams to advise on PRD content, data enrichment opportunities, and analytic use cases
• Close collaboration with DSO Implementation and with Level 2 Data Excellence teams
• Prepare sample files, lead client demonstrations, and assist in complex workflow design using FactSet proprietary technologies and data solutions
• Proactively identify gaps, enhancements, and trends in financial data and report recommendations to product and data management teams
• Troubleshoot data issues, reconcile mismatches, and resolve challenges with feed integrations to maintain consistency and reliability
• Develop training materials and deliver sessions (internal and external) to promote understanding of PRD content, screening logic and optimal workflow integration
• Deliver ongoing education and mentorship for colleagues and clients—helping them better leverage core PRD capabilities
• Manage documentation, data standards, and process improvements for PRD content across the organization
• Contribute to product development initiatives and fact-finding for new data features and content launches
• Client relationship management
• Day-to-day client engagement