Job Description
Key Responsibilities
• Develop and execute the product roadmap and strategy for the data platform in alignment with business goals.
• Partner with engineering, analytics, and business teams to identify data needs and translate them into platform requirements.
• Work closely with internal users, including data scientists, analysts, and business leaders, to gather feedback and prioritize features.
• Stay updated on industry trends, emerging technologies, and best practices in data platforms and analytics.
• Own the lifecycle of the data platform, from ideation to delivery and continuous improvement
• Ensure the platform supports large-scale data ingestion, processing, storage, and analytics.
• Collaborate with engineering teams to implement secure, reliable, and high-performing solutions.
• Define KPIs to measure the success and impact of the data platform.
• Act as a liaison between technical teams and business stakeholders.
• Document product features, user guides, and workflows for cross-team alignment.
• Establish best practices for data quality, accessibility, and management.
• Ensure the platform adheres to data governance, privacy, and compliance standards
Qualifications
• Bachelor's or master's degree in computer science, Engineering, Data Science, Business, or related field.
• 5+ years of experience in product management, with a focus on data platforms, big data, or analytics solutions.
• Solid understanding of data infrastructure, including ETL/ELT processes, data lakes, data warehouses, and cloud platforms (e.g., AWS, Azure, GCP).
• Knowledge of APIs, data integration, and real-time data streaming.
• Excellent communication, storytelling, and stakeholder management abilities.
• Experience with AI/ML platforms or tools.
• Familiarity with Agile and Scrum methodologies.
Any Graduate