
Vice President, Firmwide Resiliency Office Data Management Lead
- Mumbai, Maharashtra
- Permanent
- Full-time
- Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python and write complex SQL queries for data extraction, transformation, and loading.
- Develop and optimize data models to support analytical needs and improve query performance and collaborate with data scientists and analysts to support advanced analytics and AI/ML initiatives
- Automate data processes and reporting using scripting utilities like Python, R, etc.
- Perform in-depth data analysis to identify trends and anomalies, translating findings into reports and visualizations.
- Collaborate with stakeholders to understand data requirements and deliver data services promptly.
- Partner with data providers to design data-sharing solutions within a data mesh concept.
- Oversee data ingestion, storage, and analysis, and create rules for data sharing and maintain data quality and integrity through automated checks and testing
- Monitor and analyze data systems to enhance performance and evaluate new technologies and partner with technology teams and data providers to address data-related issues and maintain projects.
- Contribute to the design and implementation of data governance frameworks and manage firm-wide resiliency data management frameworks, procedures, and training.
- Stay updated with emerging data technologies and best practices and develop and maintain documentation for data engineering processes.
- Lead and manage a team of data professionals, providing guidance, mentorship, and performance evaluations to ensure successful project delivery and professional growth.
- Bachelor's degree in computer science, Data Science, Statistics, or a related field, or equivalent experience.
- Expert in SQL for data manipulation, querying, and optimization, with advanced database experience.
- Proficient in scripting utilities like Python, R, etc.; including data analysis libraries such as Pandas and NumPy.
- Proficient in data transformation tools like Alteryx, and Tableau, and experienced in working with APIs.
- Direct experience with Databricks, Spark, and Delta Lake for data processing and analytics.
- Experience in data reconciliation, data lineage, and familiarity with data management and reference data concepts.
- Excellent analytical, problem-solving, and communication skills, with a collaborative and team-oriented mindset.
- Solid knowledge of software architecture principles, cloud-native design (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD best practices.
- Self-starter with strong verbal, written, and listening skills, and excellent presentation abilities.
- Proven influencing skills and the ability to be effective in a matrix environment.
- Understanding of operational resilience or business continuity frameworks in regulated industries
- 10 + years of experience in data management roles such as Data Analyst or Data Engineer.
- Strong understanding of data warehousing concepts and principles.
- Skilled in handling large, complex datasets for advanced data analysis, data mining, and anomaly detection.
- Experience with AI/ML technologies and frameworks