Director of Product, Forge

• We're seeking an experienced professional with a background in building & growing AI powered financial market data products and solutions with a drive to execute
• 10+ years of product management experience in a client-facing role, most of it attributed to building & launching financial data products such as pricing data, insights, data-driven investment signals
• Strong understanding of AI/ML concepts, data architecture, and data science methodologies; experience with big data platforms, machine learning frameworks, and cloud technologies is highly desirable
• In-depth understanding of market data and the investment lifecycle across diverse financial asset classes
• Demonstrated experience in conceptualizing and developing financial data-oriented products using AI
• Superior communication skills, the ability to drive cross-functional delivery and interact effectively with senior leadership and clients
• Bachelor’s degree in data science, Computer Science, Finance, Business Administration, or Economics
• A strong analytical mindset, problem solving skills and ability to think outside the box
• Prior experience with private or public market-related data and investment management experience is highly desirable

Desirable

• This role is pivotal in advancing our strategic mission of fostering transparency in private markets, expanding our product offerings and supporting the creation of an industry leading trading marketplace
• This role will sit at the intersection of artificial intelligence technology, product development, and business strategy to guide the vision, strategy and execution of AI-driven products ensuring we meet the market’s needs
• Define and communicate the vision, strategy, and roadmap for AI and data-centric products, ensuring alignment with broader business objectives and customer needs
• Deliver a roadmap that delivers new data insights leveraging AI to drive product enhancements, new data content and analytics
• Lead the end-to-end product lifecycle for AI-powered data products, from ideation and research through development, deployment, and post-launch analysis
• Use a data-driven approach to product discovery, analyzing market trends, customer feedback, competitor analysis and data insights to identify new opportunities and drive product enhancements
• Define key performance indicators (KPIs) and success metrics for products, adoption by customers and Cost of goods
• Partner closely with data research, operations, engineering, design, and business teams for product ideation, development, testing, and iteration based on client feedback, company vision, and strategic objectives
• Collaborate with legal, compliance, and data governance teams to maintain data quality, integrity, security, and compliance with governance of AI
• Focus on personalization by leveraging machine learning models to deliver tailored insights that align with each client’s investment profile
• Develop strategies to drive user adoption of AI products. This may involve conducting user testing and refining features based on feedback
• Focus on aligning product outcomes with business objectives and ensure they meet both market and user demands