Product Manager - Data Platforms
EPAM Systems · State of Mahārāshtra, India
EPAM Systems · State of Mahārāshtra, India
*EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.* We are looking for a passionate **Product Manager** to drive innovation and deliver data-driven digital solutions that provide actionable client insights and opportunities to Financial Advisors. In this role, you will drive the evolution of a strategic data platform and insights ecosystem, with a strong focus on data product ownership and end-to-end delivery. You'll be part of a Field Solutions Team within the Data & Analytics Foundational Platforms group, operating with an entrepreneurial mindset to deliver impactful digital and data innovations that drive value across the Wealth Management business. **Responsibilities** - Own and drive the development and enhancement of the data platform, insights application, and Insights API, ensuring seamless integration and optimal functionality within Financial Advisors' workflows - Serve as the primary interface with Data Engineering (Data Mesh) and API teams, ensuring that data requirements are clearly defined, prioritized, and delivered accurately - Partner with business stakeholders, analytics teams, and data consumers to scope new data ingestion and transformation needs, managing a pipeline of upcoming requirements - Translate business requirements into well-defined user stories, technical specifications, and design artifacts for engineering teams - Collaborate with cross-functional teams, including Technology, UI/UX, Data Science, Analytics, Marketing, Risk and Compliance, and other product teams - Act as a liaison between business stakeholders, data engineering, and API teams to resolve data-related questions and ensure alignment across dependencies - Develop deep expertise in the underlying data landscape (e.g., enterprise data warehouses) and Insights API to proactively identify risks, gaps, and dependencies - Own data validation and testing processes, ensuring delivered datasets meet quality standards and align with platform requirements - Ensure adherence to regulatory and compliance standards related to client data, privacy, and ethical data usage **Requirements** - Bachelor's degree in Business, Computer Science, Engineering, or a related field; advanced degree preferred - 10-15 years of general IT experience, including 5+ years in product ownership, data product management, or a related role, preferably within financial services - Background in working with data engineering teams and managing data-driven products or platforms - Understanding of data pipelines, data modeling, and data platforms (e.g., SQL, ETL/ELT concepts) - Capability to translate complex business requirements into clear, actionable technical deliverables for engineering teams - Showcase of an entrepreneurial and growth-driven mindset with excellent strategic thinking and problem-solving abilities - Proficiency in driving a product across its lifecycle, from ideation to delivery, adoption, and continuous enhancement - Excellent communication and interpersonal skills, with the ability to bridge technical and non-technical stakeholders effectively - Strong technical acumen, comfortable engaging with engineers and understanding system architecture and data dependencies - Proficiency in English at an Upper-Intermediate level (B2) or higher **Nice to have** - Familiarity with client insights platforms or wealth management tools - Expertise in distributed data architectures - Hands-on data analysis skills (e.g., SQL) - Qualifications in building data-driven or AI-enabled products and platforms **We offer** - Opportunity to work on technical challenges that may impact across geographies - Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications - Opportunity to share your ideas on international platforms - Sponsored Tech Talks & Hackathons - Unlimited access to LinkedIn learning solutions - Possibility to relocate to any EPAM office for short and long-term projects - Focused individual development - Benefit package: - Health benefits - Retirement benefits - Paid time off - Flexible benefits - Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)