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: 812 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 :

- Bachelors or Masters degree in a quantitative field (Computer Science, Statistics, Data Analytics, Economics).

- An MBA from a Tier-1 institute is a strong advantage