Senior Principal Product Manager – Agentic/AI Data Collection

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Your Team's Impact

The Senior Principal Product Manager is a seasoned product professional responsible for high-impact, high-visibility internal platforms. Senior Principal Product Managers engage with internal stakeholders and process owners to find the right problems to solve, define what success looks like, and guide their team to deliver successful outcomes. They identify solutions that are valuable to internal users, viable for the business, feasible to build, and usable.

Senior Principal Product Managers typically coordinate several agile delivery teams on large and strategically important products. They are responsible for driving all aspects of the product development lifecycle — from insight-driven discovery and strategy to defining success metrics, planning, execution, and continuously optimizing to deliver value.

The Senior Principal PM has a product portfolio mindset and is always looking to direct resources toward the most valuable problems to solve. They take on an increasingly visible role in advocating for product management best practices — in this role, applied to building and scaling an AI/Agentic-native data collection pipeline and driving its adoption across all data collection processes.

What You'll Do

30% Insights – Derives insights to support product bets

- Understands the dynamics of internal data collection processes, the roles and responsibilities of the teams that depend on them, and how AI/Agentic techniques are evolving in data extraction and collection. Builds this understanding through regular, direct research and engagement with internal stakeholders and process owners across data collection.
- Responsible for product discovery for the data collection pipeline. Proactively identifies opportunities across existing data collection processes and validates that a given solution is valuable, viable, feasible, and usable before it is developed — including evaluating build-vs-buy and where AI/Agentic techniques materially improve accuracy or efficiency.
- Uses data to evaluate and inform strategy and decision making, including performance under increasing data volume and internal user demand.
- Measures what matters: product success metrics (internal engagement, adoption across data collection processes, stickiness, extraction accuracy, coverage) as well as financial metrics (support costs, cloud/compute costs).

30% Strategy – Identifies and articulates a path to achieve results

- Defines product strategy — vision, value proposition, and roadmap — for the AI/Agentic data collection pipeline, in the context of departmental strategy, overall company strategy, and relevant firm type strategies.
- Evangelizes the product strategy across the business unit, including how the pipeline supports downstream document and data lifecycle capabilities.
- Responsible for product business case development (investment needs, resourcing, KPIs) to take the product from POC/prototype to a fully industrialized, production-ready solution.
- Accountable for adoption and retention goals across all data collection processes, as well as cost/efficiency goals.
- Partners with process owners and operations teams across data collection to drive validation and buy-in for the pipeline.
- Defines the adoption and rollout strategy for onboarding data collection processes onto the pipeline, including sequencing and prioritization.
- Creates a product roadmap that aligns cross-functional teams — collecting and prioritizing requirements from internal stakeholders and translating them into actionable milestones, including constraints and dependencies for scaling the pipeline.

25% Execution – Delivers on product outcomes

- Aligns engineering and operations teams to deliver on the vision, goals, and strategy for the data collection pipeline, coordinating the process to meet timelines.
- Plans releases, prioritizes features, and defines the work and what success looks like; clearly defines internal user needs and acceptance criteria.
- Interacts regularly with development teams to prioritize needs and provide clarity for iterating on solutions.
- Owns product scalability: ensures the AI/Agentic data collection solution remains stable, robust, scalable, and cost-efficient as data volume and internal usage grow, implementing proactive monitoring and collaborating with engineers to balance cost and performance.
- Owns integration and adoption: drives onboarding of data collection processes onto the pipeline, developing strategies that simplify deployment and adoption, and creating detailed documentation and guidelines for connecting the tool to other organizational services and workflows.
- Sets realistic performance and adoption goals as processes are onboarded, tracks product performance, monitors metrics, and iterates quickly to experiment and optimize. Moves to the next most valuable process to onboard once value has been delivered.
- Serves as a subject matter expert for complex support escalations related to the pipeline; advocates for reducing support burden and improving the overall experience for internal teams relying on it.

15% Leadership – Inspires cross-functional teams to achieve great outcomes

- Influences and motivates cross-functional teams, without authority, to achieve product outcomes — pushing teams when they need to be pushed and supporting them when they need support.
- Gives prompt and candid feedback to cross-functional team members.
- Coaches team members to develop product and AI/Agentic domain expertise.
- Stays informed on the latest AI/Agentic developments in data extraction and data collection; collaborates with cross-functional teams building AI-native platform capabilities for the document and data lifecycle, and establishes feedback loops with users to identify improvement areas through AI-driven solutions.
- Takes an expanded role in driving best-practice adoption across the department.
- Effectively advocates for product funding, resource focus, and skill development to support strategic goals.
- Typically coordinates delivery across multiple agile teams.

What We're Looking For

- Bachelor's degree in STEM, finance, economics , or other relevant field, or equivalent experience.
- Minimum 12+ years of relevant experience, preferably with a focus on AI or data-driven products or product management.
- Possesses and evangelizes a product mindset — starts from problems, goals, and needs, and experiments to find the best solution.
- Experience with UI design principles and user-centric product development.
- Capable of inspiring several cross-functional teams to deliver on product strategy and vision; able to influence engineering, design, operations, and other internal stakeholders without direct authority.
- Ability to say no to demands from stakeholders that do not align with the validated product strategy.
- Excellent communication, stakeholder management, and leadership skills.
- Strong expertise in AI/Agentic technologies, data extraction, and data collection solutions.
- Strong understanding of Agile methodologies and ability to lead Agile teams.
- Demonstrated excellence and impact in previous Product roles.

What's In It For You

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:

- The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
- Career progression planning with dedicated time each month for learning and development.
- Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.

Learn more about our benefits here.

Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.

Company Overview:

FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at  www.factset.com  and follow us on  X  and  LinkedIn .

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.