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EY

Master Data Governance/Management - Senior Manager - Consulting - Location OPEN

EY, Baltimore, Maryland, United States, 21276

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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. Responsibilities

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. Qualifications

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. Nice-to-have

Experience leading cross-functional teams with a focus on mentorship and professional development. Advanced analytical skills and a passion for innovation in applying emerging technologies. Familiarity with data mesh concepts and decentralized data ownership models. Certifications in Azure Data Engineer, Snowflake, Databricks, or related platforms. Experience with Data Office Organization and IT Architecture. Familiarity with Digital Fluency and Hybrid Collaboration techniques. Emotional agility to navigate complex interpersonal dynamics. What We Look For

We seek individuals who are technically proficient and able to inspire and lead teams, with a passion for innovation, excellence, and navigating complex challenges. What We Offer

Competitive compensation and benefits; base salary range in the US is $144,000 to $329,100, with higher ranges in NYC Metro Area, Washington State, and California. Total Rewards include medical/dental, pension and 401(k), and paid time off. Hybrid work model with most external client-facing roles requiring 40-60% in person collaboration. Flexible vacation policy and designated holidays, with additional leave options for personal, family, and wellbeing needs. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. EY is an equal employment opportunity employer. EY focuses on high ethical standards and integrity and provides reasonable accommodations to qualified individuals with disabilities.

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