Amit Muley

Accomplished Data and AI Governance consultant with proven history of driving success in various industries through expertise in data strategy, governance, quality, and analytics. Demonstrates exceptional interpersonal, problem-solving, and analytical abilities to deliver valuable insights and guidance that enhance business performance for client organizations. Proficient in overseeing operations, developing strategic initiatives, and optimizing financial outcomes to achieve sustainable growth.

• Implement the end-to-end data governance framework with data quality processes and standards.
• Implementation of a robust analytical platform and support for AI/ ML projects.
• Ensure data security at rest and in transit with standard processes and protocols.
• Regular Audits for data protection and vulnerability assessment.
• Data Operations Management.
• Setting up the right data governance framework using technologies like Informatica IICS.
• Establishing stewardship to support Data Governance processes.
• Establishing Master Data Management and processes around it to keep high-quality master data.
• Setting up a data quality framework to maintain high data standards and continuous improvement.
• Implementing data catalog and lineages for better traceability and quick RCA.

• Implemented end-to-end data strategy, building a lakehouse with cloud solutions, providing backbone for analytics/ AI and ML, a large project, and its operations.
• Prepared a Data Governance framework within defined guidelines and prepared a data maturity model. Implemented Data Governance Framework by acquiring and training data stewards, data custodians, and data owners using IDMC. Define roles and responsibilities, and control and monitor the maturity using KRA and KPI metrics.
• Implemented Data Quality Framework using Informatica CDQ, providing analytical output with data exceptions, and managing and monitoring data remediation processes.
• Lead Data Architecture initiatives, GDPR - data masking, Data anonymization, non-prod data access and control management, data migration control.
• Define protocols for data engineering pipelines, data validations, data corrections, performance optimization, job scheduling, and monitoring with data operations processes.
• Create and manage a regulatory reporting framework for regulators like the SEC, CFTC, FCA, and PRA by integrating with 3rd party regulatory reporting tools and providing quality data inputs.
• Lead efforts for metadata and data lineages across enterprise products, warehouse, and reporting platforms. Platforms are GCP, Snowflake, Azure, Power BI, Looker Studio, and internal management reporting platforms.
• Managing Projects with Agile SCRUM methodology and delivering within Time, Cost, and Quality.

• Date of Birth: 08/28/83
• Marital Status: Married

• More than 20 years of experience in data management, with Leadership Responsibility, Team Management, Growth, and Succession Planning for a large team.
• Finance Forecasting and Budget management, Partner Engagement with budgets of more than $5m.
• Data Policy and Data Strategy - Defensive, Adaptive, First to Market approach for better business decisions.
• Strong experience in Data Governance, Metadata, Lineages, and Data Quality.
• Data Compliance and Regulatory (GDPR, DPDP, EDPB), implemented using third-party tools.
• Planning and Delivering - People, Process, Technology, and Data Methods for aligning scope with delivery.
• Integrity and Transparency - Using PM and Service Management tools, JIRA, GITHUB, ServiceNow.
• Executed projects with IICS, CDQ, and GCP platforms, and am aware of platforms like Azure and Snowflake.
• Collaboration and Across Demography Teams Management, including the US, UK, Scandinavia, and Singapore.