Lead Product Manager
Arcana Analytics · Bangalore ·
- Seniority
- Lead
- Category
- Product
- Experience
- 5+ years
- Visa sponsorship
- No
- Company size
- 11-50
Lead a data platform for institutional investors, defining product vision, gathering client needs, and collaborating with engineers to deliver scalable analytics solutions.
We are seeking a dynamic Lead Product Manager to join our team and work closely with our founders, financial analysts, engineers, and product managers. In this role, you'll drive the development of innovative features and solutions that support our clients' success. You will play a key role in defining product vision, gathering and prioritizing customer requirements, and collaborating with cross-functional teams to deliver impactful products. Your ability to balance customer needs with business goals and lead product initiatives from concept to execution will be key to driving our platform's growth and success.
Responsibilities:
- Develop and implement the product vision for a data platform designed to meet the needs of institutional investors.
- Collaborate with clients to understand their data engineering and analytical requirements.
- Lead the development of critical features from the initial requirements phase through to final delivery.
- Work closely with Product Engineers and Data Engineers to ensure optimal performance, scalability, and reliability of the data platform.
- Manage the full product lifecycle, from conceptualization to launch, with a focus on continuous improvement and adaptation to market needs.
- Stay up-to-date with the latest trends in data engineering, data lake house technologies, and investment management solutions to ensure the product remains competitive.
- Regularly communicate progress and updates to stakeholders and gather client feedback to refine the product roadmap.
Requirements:
- 5+ years of experience in product management, ideally with a focus on data platforms, data engineering, or analytics products.
- Education from IIT or IIM with an 8.0+ GPA (mandatory). MBA is a plus.
- Strong proficiency in data technologies, workflows, and tools like SQL, Python, and data engineering concepts.
- Proven experience managing data-centric product development with both internal teams and external client requirements.
- Excellent communication, client-facing, and cross-functional collaboration skills.