Master Data Governance​/Management - Senior Manager - Consulting

Overview

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. EY's Analytics and Data team is seeking a Master Data Management Senior Manager focusing on helping our clients define and drive data management strategy and technology implementation. This role demands a seasoned professional with an ability to define a master data management design, complemented by a solid track record of system delivery.

The individual should be ready to guide clients through the adoption and implementation of advanced technologies. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies.

• Lead engagement delivery and manage client relationships on a daily basis.
• Develop resource plans and budgets for engagements, ensuring effective engagement economics.
• Exercise judgment in selecting methods and techniques for obtaining results.
• Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
• Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization.
• Oversee Master Data Management (MDM), metadata management, and data cataloging practices to ensure data consistency, discoverability, and trust.
• Ensure compliance with data privacy, protection, and regulatory standards (e.g., GDPR, CCPA), working closely with Legal, Security, and Risk teams.
• Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes and maintain stakeholder confidence.
• Design scalable, secure, and cost-effective data architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs.
• Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing.
• Drive the design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems and generate actionable insights.
• Leverage advanced analytics and machine learning techniques (e.g., optimization, forecasting, simulation) to enhance operational efficiency and reduce cost.
• Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains.
• Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations.
• Communicate analytical findings through compelling data storytelling, dashboards, and visualizations tailored to business and technical audiences.
• Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership.

• Bachelor’s degree in Engineering, Advanced Data Analytics, or a related technical field with prior consulting experience.
• Minimum 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry.
• Experience with Master Data Management (MDM) tools (e.g., SAP MDG, Informatica MDM) and data governance frameworks.
• ERP implementation experience, including full SAP implementation cycles with SAP MDG as a component.
• Strong understanding of Data Governance principles, data quality, metadata, lineage, and data catalog tools (e.g., Collibra, Alation).
• Hands-on experience with cloud and data engineering tools (Azure, Databricks, Snowflake, AWS) and data orchestration platforms.
• Proficiency in SQL, Python, R, Power BI, Tableau, and related analytics tools.
• Excellent leadership, negotiation, and stakeholder management skills; ability to lead large-scale digital transformation engagements and manage delivery risk.
• Willingness to travel internationally to meet client needs; valid driver’s license in the US.
• Strong communication skills and the ability to mentor, coach, and build high-performing data teams.

• Experience leading cross-functional teams with a focus on mentorship and professional development.
• Advanced analytical skills and a…