Senior Product Manager- Data and Analytics Uberlife Consulting

6.0 - 10.0 years

35 - 60 Lacs

Bengaluru

Work from Office

A rapidly growing product-first technology company is seeking a results-driven Senior Product Manager to lead its next-generation data lake and analytics capabilities. This role is a perfect fit for professionals passionate about creating scalable, AI-ready data solutions that drive meaningful impact across global enterprise ecosystems. Key Responsibilities Own end-to-end delivery of core data platform modules that power analytics, dashboards, and AI-driven insights Collaborate with engineering, BI, and business stakeholders to define clean and extensible data models Translate complex requirements into well-structured product documentation, ensuring alignment across cross-functional teams Standardize metadata, lineage, and documentation practices to drive clarity and trust across data assets Design for scalability, performance, and security in a cloud-native, multi-tenant SaaS environment Contribute to long-term architectural evolution and BI tool integration efforts Ensure data products are easily discoverable, user-friendly, and enterprise-ready Apply modern tools and best practices such as dbt, data catalogs, and cloud data lakes Ideal Candidate Profile 6- 8 years in product management with focus on data platforms, analytics, or SaaS products Proven expertise in data modeling, ELT/ETL development, and delivering cloud-native data solutions Hands-on experience with BI and warehouse platforms such as Snowflake, Redshift, BigQuery, Tableau, ThoughtSpot, or Power BI Demonstrated ability to write concise PRDs and collaborate across technical and non-technical teams Familiarity with embedded analytics and semantic modeling is highly desirable Strong conceptual understanding of metadata governance, scalability, and usability in enterprise data systems

Posted 1 week ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.