Senior Product Manager - Data, AI & ML
DatasiteAbout the role
Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment.
Job Description:
Datasite is a market leading FinTech company that facilitates the largest and highest profile mergers and acquisitions and IPOs in the world. With offices in New York, Paris and London, we work closely with the client-facing teams at the most prominent investment banks, law firms and investment professionals across the globe. They trust us to manage highly confidential information about some of the biggest and most exciting companies on the planet, and they rely on us to facilitate the deals we all read about in the news.
We are looking for a customer-centric Senior Product Manager to join our distributed Product team, building data, artificial intelligence (AI) & machine learning (ML) solutions that will be used by our global client base. As a key contributor, you will be detail-oriented, but also capable of seeing the bigger picture. This is an opportunity to innovate in a complex space and will suit someone with a passion for collaboration, problem solving, evidence-based decision-making and building great user experiences.
Responsibilities:
Product Strategy: Collaborate with Product leadership to develop and communicate a clear product vision and strategy that aligns with the company's goals and market trends, informed by data-driven insights, customer discovery and feedback.
Data-driven Decision-Making: Use data and analytics to identify opportunities and guide product development, ensuring that data-driven insights lead the decision-making process.
OKR Management: Define Objectives and Key Results (OKRs) that are data-driven and measurable to assess the success of your product initiatives against the product strategy.
Roadmap Development: Create, maintain and socialize a product roadmap that clearly connects the “why” (Company, Team, and Product Strategy) to the “what”: feature prioritization, experiments being conducted, release schedules, technical requirements, and dependencies.
Product Led Growth (PLG): Implement and champion Product Led Growth strategies, fostering a user-centric approach that empowers users to discover, adopt, and derive value from the product independently.
Experimentation: Design and execute experiments, defining expected outcomes and success metrics to test hypotheses and validate assumptions. Analyse results and use insights to refine product strategies, iterate on features, enhance user experiences, increase adoption and drive continuous improvement.
User Experience: Utilize data-driven user feedback and analytics to ensure an exceptional user experience, optimizing features and functionality based on user behavior.
Prioritization & Backlog Management: Define detailed feature specifications, including epics and user stories, technical requirements, A/B test and acceptance criteria, that can be understood and executed by cross-functional team, in the required order or priority.
Cross-Functional Collaboration: Lead through influence and work closely with a cross-functional team through active participation in stand-ups and other Agile ceremonies, fostering collaboration and ensuring alignment required to deliver successful product outcomes.
Relationship Building & Stakeholder Engagement: Build strong relationships with stakeholders, communicate effectively, and create buy-in for product initiatives by ensuring alignment with their goals and needs.
Stakeholder Communication: Collaborate with internal teams, executives, and other stakeholders to formulate clear hypotheses for product enhancements, new features, or optimizations. Share concepts, roadmaps and progress updates using data to drive transparency and understanding.
Security & Compliance: Maintain a security-first mindset in the product development process, ensuring robust safeguards, data protection, and compliance with legislation and standards.
Market Analysis: Perform research to stay informed about industry trends, emerging technologies, and competitors, using these insights to keep our products competitive and at the forefront of innovation.
Requirements:
- 5+ years' experience as a Product Manager
- Bachelor's degree in a related field (MBA or advanced degree is a plus)
- Demonstrated experience with data, artificial intelligence (AI) & machine learning (ML) products
- Demonstrated experience with en
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