Description

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.

Education

Any Graduate