Product Manager

Job Overview

We 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.

Key Responsibilities

• Develop a product roadmap for data and analytics solutions for the customers.
• Data-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.
• Requirement 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.
• Stakeholder 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.
• Market Intelligence & Innovation: Stay abreast of emerging modern data stack technologies, advanced analytics methodologies, and predictive modeling trends within the asset & wealth management space.

Required Qualifications & Skills

• Professional Experience: 8–12 years of total experience, with at least 4 years specifically building Analytics products management or Technical product management.
• Strong understanding of software development lifecycle and Agile methodologies.
• Ability to work with technical teams and understand APIs, data pipelines, cloud platforms (i.e., Azure), and system architecture.
• Technical Acumen: Strong understanding of the analytics lifecycle, SQL, Python, Business Intelligence tools (Tableau, Power BI, etc.), and A/B testing frameworks.
• Exposure to AI/ML concepts such as NLP, Generative AI, Agentic AI, predictive analytics, or automation workflows.
• Experience with tools such as Jira, Confluence, or product analytics platforms.
• Excellent stakeholder management and communication skills.
• Education: Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Data Analytics, Economics). An MBA from a Tier-1 institute is a strong advantage.