Gourav Baid

As a Senior Manager at EY, I lead a team focused on ensuring effective data management, security, and compliance. I drive data governance strategy, aligning with organizational goals and regulatory standards.

Key highlights of my experience include:

• Data Governance & Compliance: Led assessments of data governance practices, identified gaps, and implemented strategies to enhance privacy, security, and ownership using data governance tools.
• Cross-Functional Collaboration: Worked closely with IT, procurement, legal, and business teams to clarify roles and optimize governance structures, improving alignment, and data stewardship across departments.
• Data Classification and Sensitive Data Management: Directed initiatives to refine data classification procedures, ensuring sensitive and critical data is managed appropriately. Implemented best practices for secure data handling.
• Security & Access Control: Analyzed and improved role-based access frameworks to strengthen access control, mitigate risks, and enhance overall data security.
• Data Lifecycle & Governance Frameworks: Contributed to the development of enterprise-wide data management frameworks aligned with organizational goals and compliance requirements, streamlining data lifecycle processes.
• Tool Evaluation and Selection: Led the evaluation and selection of data governance tools to align with client needs. Managed end-to-end implementation to ensure a seamless integration with the data strategy.
• Metadata and Data Quality: Oversaw the creation of a centralized data catalog to enhance metadata management and transparency. Drove initiatives to improve data quality, ensuring accuracy and consistency across systems.

As a Programmer Analyst at Cognizant, my role focused on developing and optimizing data integration solutions to support enterprise analytics and reporting initiatives.

Key highlights of my experience include:

• ETL Development and Data Integration: Designed and developed new business solutions while enhancing existing data architectures. Focused on performance tuning and scalability to support efficient data processing.
• Data Extraction and Transformation: Leveraged SQL, Python, and ETL tools such as Informatica and SSIS to extract, cleanse, transform, and load data. Improved data accuracy and availability for analytics and reporting in tools like Cognos and Power BI.
• Requirement Gathering and Client Collaboration: Collaborated closely with clients and onshore teams to gather and analyze business requirements, ensuring that data solutions aligned with strategic objectives.
• Performance Optimization: Conducted performance tuning of data systems to meet Service Level Agreements (SLAs), and maintain efficient, reliable operations.
• Recognition and Contribution: Honored with the 'Passion Personified Award' for outstanding contributions to the Enterprise Information Management (EIM) practice in Q3 2014.