Product Manager

Job Overview\nWe are seeking an experienced Product Manager to lead our Data and Advanced Analytics initiatives in the Asset & Wealth management space. You will define the product vision, roadmap, and delivery of sophisticated data solutions, including predictive analytics, risk modeling, business intelligence dashboards, and automated decision-making engines.\n\nKey Responsibilities\nDevelop a product roadmap for data and analytics solutions for the customers.\nData-Driven Product Delivery: Lead the design and delivery of production-grade analytics products, from scalable data pipelines to intuitive BI dashboards (PowerBI/Tableau), ensuring high standards of data governance and security.\nRequirement Synthesis & Metrics: Author high-quality Product Requirement Documents (PRDs) and user stories, translating intricate financial workflows into clear requirements for Data Engineering, BI, and Data Science teams. Define core KPIs and success metrics for every product rollout.\nStakeholder Leadership: Collaborate with senior client stakeholders (C-level) and internal teams to ensure data products align with business objectives, drive adoption, and deliver measurable commercial value.\nMarket Intelligence & Innovation: Stay abreast of emerging modern data stack technologies, advanced analytics methodologies, and predictive modeling trends within the asset & wealth management space.\n\nRequired Qualifications & Skills\nProfessional Experience: 8–12 years of total experience, with at least 4 years specifically building Analytics products management or Technical product management.\nStrong understanding of software development lifecycle and Agile methodologies.\nAbility to work with technical teams and understand APIs, data pipelines, cloud platforms (i.e., Azure), and system architecture.\nTechnical Acumen: Strong understanding of the analytics lifecycle, SQL, Python, Business Intelligence tools (Tableau, Power BI, etc.), and A/B testing frameworks.\nExposure to AI/ML concepts such as NLP, Generative AI, Agentic AI, predictive analytics, or automation workflows.\nExperience with tools such as Jira, Confluence, or product analytics platforms.\nExcellent stakeholder management and communication skills.\nEducation: Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Data Analytics, Economics).