Senior Data Product Manager

Bangalore 8-12 years Full-time Data Governance, AWS, Data Management, Data Products, Data Quality, Metadata, Data Architecture + SQL, Data strategy, OPT0264 Technical Skill Set Key Skills: Data Governance, AWS, Data Management, Data Products, Data Quality, Metadata, Data Architecture + SQL, Data strategy, Engineering Practices (This are the topics will be cover on R1 interview), if the candidates background from BFSI or core banking it is an advantage). Specified that candidates must have hands-on experience with SQL, AWS data services, Python, Spark ETL, and AI-powered engineering tools such as Microsoft Visual Studio Code, as well as familiarity with cloud architecture and CICD processes. Data Governance Expertise: Highlighted the importance of data governance, including data lineage, metadata management, and data management implementation methodology, noting that prior experience in these areas is highly advantageous. Stakeholder Management: Explained that strong stakeholder management and cross-functional leadership are required, as the role involves manoeuvring data products across different crews or domains within the bank. Techno-Functional Role: HM emphasized that the role is not purely functional but requires a blend of technical and functional expertise, particularly in data engineering and product management. Additional details Maximum CTC: Up to 39 LPA. Notice Period: Immediate to 15 days (Immediate joiners preferred). Bangalore 8-12 years Full-time Data Governance, AWS, Data Management, Data Products, Data Quality, Metadata, Data Architecture + SQL, Data strategy, OPT0264 Technical Skill Set Key Skills: Data Governance, AWS, Data Management, Data Products, Data Quality, Metadata, Data Architecture + SQL, Data strategy, Engineering Practices (This are the topics will be cover on R1 interview), if the candidates background from BFSI or core banking it is an advantage). Specified that candidates must have hands-on experience with SQL, AWS data services, Python, Spark ETL, and AI-powered engineering tools such as Microsoft Visual Studio Code, as well as familiarity with cloud architecture and CICD processes. Data Governance Expertise: Highlighted the importance of data governance, including data lineage, metadata management, and data management implementation methodology, noting that prior experience in these areas is highly advantageous. Stakeholder Management: Explained that strong stakeholder management and cross-functional leadership are required, as the role involves manoeuvring data products across different crews or domains within the bank. Techno-Functional Role: HM emphasized that the role is not purely functional but requires a blend of technical and functional expertise, particularly in data engineering and product management. Additional details Maximum CTC: Up to 39 LPA. Notice Period: Immediate to 15 days (Immediate joiners preferred).