Associate Product Data Manager

Associate Product Data Manager - Private Markets Content

We’re looking for a Product Data Manager / Owner to join our team of software and AI/ML engineers as we build out a future-ready company data foundation.

Our team lives within the Content Refinery unit which provides the most comprehensive and connected inventory of client, proprietary and third-party content in the industry.  The Content Refinery produces a suite of connected content with extensive data hierarchy and taxonomy.  Our team represents the company data master which is leveraged by our internal partners to build next-generation workflows for our clients.

You’ll be joining the Entity Intelligence Team which is responsible for defining, collecting, and building modern systems to curate data via agent-led processes, 3rd-party data and other internal FactSet teams.  This data powers the products that all FactSet clients use to analyze their investments in Private Companies (e.g., sourcing, due diligence, and fundraising).

Role Description:

As the Product Data Manager, you will convert business strategy and client needs into the vision that powers our data and a product roadmap and work closely with our AI/ML Engineering teams, Claude (and other AI tooling) and legacy systems to execute on that roadmap.

You will work with internal stakeholders to understand the content expansions that will create the most impact for our clients and then translate them into the overall vision. You will then help break down the vision into a roadmap of themes, epics, stories, bugs, and acceptance criteria.  That overall vision will guide our AI/ML team in building the models and pipelines that identify and structure this content to make the most impact for clients.

Responsibilities:

Defining your Work:

• Translate stakeholder needs into a backlog of work to be refined into user stories that state the functional expectations and reasoning for how it impacts our clients.
• Provide thought leadership by understanding how our internal and external clients plan to use our content and anticipate the future content they will need.

Maximizing Value of your work:

• Continually focus on and rank what is most important to deliver next. (e.g., prioritize Jira stories that are most important to deliver next according to their business value, dependencies, overall strategy, and team availability)
• Make visible all the work that needs to be completed by your team to deliver major features and deliverables from the backlog.

Tracking Progress of your work:

• Define and report metrics to provide transparency for progress against the product roadmap.
• Surface or anticipate hidden project risks and develop contingency plans to mitigate those risks.
• Synchronize with other product owners and internal team leads to identify obstacles and dependencies, working to  remove them through negotiation and escalation.
• Communicate with Stakeholders, other Product Owners, and Engineering teams to ensure the vision and goals for Private Markets Content is understood. Ensure buy-in is achieved on all major decisions.

Qualifications:

• 5+ years of data product management experience on a data team or similar role managing content data sets.
• Team player attitude with a strong desire to learn about Private Markets, modern data tooling and matrix organization structures.
• A keen interest to learn from and work with engineers to apply AI/ML to real world data.
• A solid understanding of financial valuation
  • Understand and derive Market valuations: e.g., identify peer groups, market multiples, industry betas, capital structures, and business models for various groups of industries.
  • Use or derive financial models, vendor data (FactSet, etc) and/ormarket research to assess viability and growth potential of private companies
• General knowledge of data environments (warehouses, lakes, pipelines, mapping, ETLs...).
• Analytical skills and data driven mindset that can be hands-on when needed with data analysis (Excel, PowerQuery, PowerBI, SQL)

Highly Desired

• Experience in Agile software development, working directly with software and data science engineers
• Financial analysis and financial modeling skills: adept at reviewing and parsing financial statements e.g.  income statement, balance sheet, and statement of cash flows
• Experience with structured transactions, banking, consulting, analytical experience in a specific industry.
• Experience in due diligence, have a view on a company. Invest/Not Invest, identifying potential acquisition targets for large corporations
• Comfortable with ambiguity and dynamic environments while understanding process and constraints of a large organization.
• Ability to make decisions quickly and remove ambiguity for the team to help them move faster.