Senior Product Manager overseeing AI product development for FactSet's News team. Collaborating with various teams to ensure alignment with product strategy and timely delivery of features.
Responsibilities
Take ownership of AI product development within the News team, acting as the key decision-maker and advocate for product development, feature prioritization, and roadmap alignment.
Collaborate closely with cross-functional teams to gather requirements, define user stories, and ensure alignment with FactSet's overall product vision and strategy.
Drive the agile product development process, working closely with development teams to define and prioritize product backlogs, manage sprints, and ensure timely delivery of product features and enhancements.
Collaborate with stakeholders to create and maintain a comprehensive product roadmap that aligns with business goals and client feedback.
Continuously improve content quality by analyzing the content (e.g., reviewing QA changes), updating quality tools, identifying opportunities for improvement and driving them to completion.
Conduct market research, competitor analysis, and user feedback analysis to identify opportunities for product differentiation and innovation.
Communicate product updates, progress, and roadmap changes to internal stakeholders, including leadership, sales, marketing, and customer support teams, ensuring alignment across the organization.
Requirements
Bachelor’s Degree or equivalent combination of education and experience
7+ years of experience in product management or related roles, preferably in financial technology or analytics
Deep knowledge and expertise related to news and filings content, how it is collected and processed, and how it is used by clients in FactSet products
An understanding of the financial industry and investment management landscape
Strong content/product management experience
Knowledge of off-platform delivery methods for unstructured content
Experience in Product Development best practices, including Agile development, User Stories and Acceptance criteria, and product release best practices
Familiarity with AI technologies, such as machine learning, natural language processing, and data analytics
Strong track record of meeting desired deadlines and product milestones
Good understanding of metadata and tagging
Ability to skillfully interact directly with vendors and clients
Familiarity with real-time data requirements
Ability to work effectively with globally distributed teams
Ability to effectively prioritize competing projects
Analytical mindset and strong problem-solving skills; experience making data-driven decisions
Proven collaboration skills and supportive team player.
Benefits
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 and family leave.
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.
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.
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