Full-Time

Senior Product Manager

Data Solutions

Updated on 5/14/2026

FactSet

FactSet

10,001+ employees

Subscription-based financial data and analytics platform

Compensation Overview

$124k - $156k/yr

No H1B Sponsorship

Remote in USA + 2 more

More locations: Westport, CT, USA | New York, NY, USA

Hybrid

Category
Product (2)
,
Required Skills
Product Management
REST APIs
Data Analysis
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
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
Desired Qualifications
  • 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

FactSet provides financial data and analytics software to investment professionals through a subscription-based platform. It offers market data, fixed income data, and research management tools that deliver real-time and historical data, along with advanced analytics, to help asset managers, investment bankers, wealth advisors, and other financial professionals make informed decisions. The platform is customizable to fit different clients’ needs, and FactSet also offers consulting and support services to maximize subscription value. The company differentiates itself through a strong focus on client service and ongoing platform updates that incorporate the latest data and analytical techniques, aiming to be a trusted, comprehensive source for financial information. Its goal is to enable better investment decisions by providing access to broad data sets and sophisticated analytics within an integrated suite of tools.

Company Size

10,001+

Company Stage

IPO

Headquarters

Norwalk, Connecticut

Founded

1978

Simplify Jobs

Simplify's Take

What believers are saying

  • Q1 2026 revenue hit $611M, beating estimates; guidance raised to $2.46B.
  • OpenAI and Anthropic partner with FactSet for Excel AI data access.
  • OptimX integration boosts Portware EMS bilateral liquidity trading.

What critics are saying

  • LSEG Eikon undercuts FactSet pricing, driving asset manager churn.
  • Bloomberg Terminal erodes Portware EMS market share in trading.
  • Finster AI underdelivers, causing 10-15% ASV loss by 2027.

What makes FactSet unique

  • FactSet integrates 47 years of proprietary financial data with AI agents.
  • FactSet AI for Banking automates deal workflows via Finster partnership.
  • PatSnap Synapse embeds biopharma intelligence in FactSet workstation.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Paid Holidays

Flexible Work Hours

Wellness Program

Employee Stock Purchase Plan

Company News

Financial Modeling Education
Apr 8th, 2026
The one-pager: AI just moved into your spreadsheet.

The one-pager: AI just moved into your spreadsheet. Welcome to the one-pager. It's been almost a year since I've written a blog post but I'm back. This is something new I'm trying out - a short post every couple weeks to help stay up-to-date on the latest developments in financial modeling. It'll include a few quick thoughts from me, and then a handful of relevant links you might find interesting. The goal is to skim it quick, hopefully grab something helpful, and get on with your day. If it's useful, I'll keep it going. If not, I won't. Simple as that. Sheet happens. Right now, feels like Financial Modeling Education is in a full-on AI arms race to get inside your spreadsheet, and frankly I find it kind of exhausting. In the first two weeks of March, OpenAI, Microsoft, and Google all shipped AI updates that live directly inside Excel and Google Sheets. Claude was a few steps ahead and feels like leader in the clubhouse right now, but I suspect that will change soon (can't wait to change my subscriptions, again). That means my your days of copy/pasting from ChatGPT like an absolute psychopath are over. On the surface, it feels like a "speed race," and the "how I built [something] in 4 seconds" on social media is getting a bit nauseating, but there's more to the story than that: data access. OpenAI and Anthropic both announced nearly identical partnerships with FactSet, Moody's, S&P, LSEG, and others within weeks of each other. Whether data access becomes a real differentiator or just gets commoditized like the models themselves, I don't know yet. Worth watching. Despite all these amazing advances, humans are still in the driver's seat (for now): Wall Street Prep tested all four tools on a real 3-Statement Model build earlier this year. The best score was 5.9 out of 10, compared to a top analyst score of 9.4. This will be a great analysis to keep my eyes on. Right now I'm using Claude and it's pretty damn remarkable what it can do, but once you get in the weeds, some of its shortcomings self-reveal pretty quickly. The reality is the same thing I've been saying for years: the fundamentals are the skill. AI is just a tool that sits on top of them. If your structure is solid, AI will make you faster. If it's not, AI will just help you build a bad model quicker. Helpful to check out: 1. OpenAI launched ChatGPT for Excel (Mar 5) - GPT-5.4 now lives inside your workbook with connections to major financial data providers. This is GPT's Excel plug-in announcement. 2. Microsoft rebranded "Agent Mode" as just... Copilot (Mar 9) - Everything is now just "Copilot," and it lets you choose between OpenAI and Anthropic models. Honestly, RIP, my one experience with Agent Mode was miserable and I'm glad it's been rebranded. 3. "I tested Gemini in Google Sheets and it sucks" (Mar 12) - An independent finance newsletter gave Google's update an honest test. Seems like it's not quite there yet, but I feel like the underlying "AI-everything" integration could be the next race. 4. CFI launched a course on AI-powered financial modeling with Claude - I've always been a huge fan of Tim's and CFI; worth checking out if you're interested. 5. And yes, of course there's a plug: How I'm Modeling with AI - newly released on my site, which includes a selection of downloadable Claude skills you can apply to your modeling right away. That's it for this one. See you in two weeks. - Chris

Yahoo Finance
Apr 8th, 2026
FactSet appoints Joshua Warren as CFO, succeeding Helen Shan

FactSet Research Systems has appointed Joshua B. Warren as Chief Financial Officer, effective 13 April 2026. He succeeds Helen Shan, who is transitioning from the position. Warren brings extensive experience across asset management, financial technology and capital markets. He most recently served as CFO of Envestnet, where he led a comprehensive transformation of finance and operating functions. Previously, he held senior roles at BlackRock, including Global Head of Business Strategy for iShares and Index Investments, and Managing Director in Corporate Strategy and Development. He has also worked at Barclays Capital, the US Department of the Treasury and Skadden Arps. CEO Sanoke Viswanathan praised Warren's strategic perspective and track record of value creation, noting his experience positions him well to execute FactSet's strategy.

GlobeNewswire
Apr 8th, 2026
FactSet announces Chief Financial Officer transition.

FactSet announces Chief Financial Officer transition. NORWALK, Conn., April 08, 2026 (GLOBE NEWSWIRE) - FactSet (NYSE:FDS | NASDAQ:FDS), a global financial digital platform and enterprise solutions provider, today announced that Joshua B. Warren has been appointed Chief Financial Officer, effective April 13, 2026. He will succeed Helen Shan, who is transitioning from her position. Josh Warren is a seasoned financial and strategic leader with deep experience across asset management, financial technology and capital markets. Warren most recently served as Chief Financial Officer of Envestnet, where he led a comprehensive transformation of the company's finance and operating functions, strengthened performance management and investor engagement, delivering significant shareholder value. Previously, he served as Global Head of Business Strategy for iShares and Index Investments at BlackRock, and prior to that, he was the Managing Director in BlackRock's Corporate Strategy and Development team. Warren also held roles at Barclays Capital; Foros Group; the United States Department of the Treasury; and Skadden, Arps, Slate, Meagher & Flom LLP. Warren holds a J.D. from the New York University School of Law and a B.A. from Dartmouth College. "We are excited to welcome Josh as FactSet's next CFO," said Sanoke Viswanathan, Chief Executive Officer of FactSet. "Josh brings a rare combination of strategic perspective, financial discipline, and operational execution. He has a proven ability to lead through complexity, accelerate performance, and drive meaningful value creation. His experience across asset management and financial technology, along with his track record of delivering results, makes him exceptionally well positioned to help us execute our strategy and deliver for our clients and shareholders." "As FactSet and its clients embark on a new chapter at the intersection of data, technology, and AI, the fundamentals are already strong. The company has spent years building trusted data and relationships, and I am excited to work with the team to build on that foundation to accelerate growth and drive results for all our stakeholders," said Warren. Viswanathan continued, "On behalf of our entire team, I want to thank Helen for her partnership and significant contributions to FactSet. Over the past several months, Helen has played an important role in ensuring continuity and supporting a smooth transition following my joining the company. She has been an integral member of our executive team, helping position FactSet as an industry leader. As CFO, she advanced the company's financial processes and infrastructure, including disciplined value-based pricing and the transformation of financial systems, and we are well placed to build on that progress as we move forward." "It has been a privilege to have served as both Chief Financial Officer and Chief Revenue Officer at FactSet. I am proud of what we have accomplished and have full confidence in the team. I look forward to enabling a smooth transition to Josh," said Helen Shan. Shan's departure is not the result of any disagreement with the company regarding its accounting practices, financial statements or financial condition, or any of the company's related disclosures. About FactSet FactSet (NYSE:FDS | NASDAQ:FDS) supercharges financial intelligence, offering enterprise data and information solutions that power our clients to maximize their potential. Our cutting-edge digital platform seamlessly integrates proprietary financial data, client datasets, third-party sources, and flexible technology to deliver tailored solutions across the buy-side, sell-side, wealth management, private equity, and corporate sectors. With over 47 years of expertise, offices in 19 countries, and extensive multi-asset class coverage, we leverage advanced data connectivity alongside AI and next-generation tools to streamline workflows, drive productivity, and enable smarter, faster decision-making. Serving more than 9,000 global clients and over 240,000 individual users, FactSet is a member of the S&P 500 dedicated to innovation and long-term client success. Learn more at www.factset.com and follow us on X and LinkedIn. Forward-Looking Statements This press release contains forward-looking statements based on management's current expectations, estimates, forecasts and projections about future events, trends, contingencies, and circumstances, industries in which FactSet operates and the beliefs and assumptions of management. All statements that address expectations, guidance, outlook or projections about the future, including statements about the Company's strategy, product development, revenues, future financial results, anticipated growth, market position, subscriptions, expected expenditures or investments, trends in FactSet's business and financial results, are forward-looking statements. Forward-looking statements may be identified by words like "may," "might," "will," "should," "expects," "plans," "anticipates," "believes," "estimates," "intends," "projects," "indicates," "predicts," "potential," or "continue," the negative of those terms, and similar expressions. Forward-looking statements are not guarantees of future performance, outcomes, events, or actions and involve a number of known and unknown risks, uncertainties, and assumptions. Many factors, including those discussed more fully elsewhere in this release and in FactSet's filings with the Securities and Exchange Commission, particularly its latest annual report on Form 10-K, including Item 1A, Risk Factors, and quarterly reports on Form 10-Q, as well as others, could cause results, performance, achievements, or activities to differ materially from those expressed or implied by the forward-looking statements. Accordingly, the Company cautions readers not to place undue reliance on any forward-looking statements, which speak only as of the date they are made. FactSet assumes no duty to and does not undertake to update or revise any forward-looking statement to reflect events or circumstances arising after the date on which it is made, except as required by applicable law. Future results could differ materially from historical performance.

Yahoo Finance
Apr 1st, 2026
FactSet beats Q1 estimates with $611M revenue, raises full-year guidance on AI and data growth

FactSet, a financial data provider, reported first-quarter revenue of $611 million, beating analyst estimates of $604.2 million and representing 7.1% year-on-year growth. Adjusted earnings per share of $4.46 also exceeded expectations by 1.9%. The company raised its full-year revenue guidance to $2.46 billion from $2.44 billion and lifted adjusted EPS guidance to $17.50 at the midpoint. CEO Sanoke Viswanathan attributed the strong performance to growth across regions and deeper integration of FactSet's solutions into client operations, particularly in AI-driven environments. Management plans to invest in AI capabilities, expand core data assets, and implement new pricing models. CFO Helen Shan noted that investments are delivering enhanced client value and operational efficiencies through AI-driven automation.

Yahoo Finance
Mar 31st, 2026
FactSet raises 2026 guidance to $2.47B, launches AI banking tools to offset margin pressures

FactSet Research Systems has raised its fiscal 2026 guidance, targeting GAAP revenues of $2.45 billion–$2.47 billion and GAAP diluted EPS of $14.85–$15.35. The upgrade follows mixed second-quarter results, where sales grew but net income and EPS declined year-on-year. The financial data provider has expanded its AI capabilities by launching the alpha version of FactSet AI for Banking and partnering with Finster AI. The platform aims to integrate FactSet's data into AI-powered workflows across investment banking and financial services. The company's investment case now hinges on whether AI-driven products can offset margin pressures and banking sector headwinds. Analysts project revenues reaching $2.8 billion by 2029, requiring 5.3% annual growth, though concerns remain about rising cloud and infrastructure costs impacting profitability.