EY
Master Data Governance/Management - Senior Manager - Consulting - Location OPEN
EY, Woodbridge, New Jersey, United States
Overview
Master Data Management/Governance – Senior Manager opportunity with EY. EY’s Analytics and Data team seeks a Senior Manager focusing on defining and driving data management strategy and technology implementation. The role requires a seasoned professional who can design a master data management design and lead delivery of system implementations. The individual should 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
Design and apply comprehensive methods, practices, policies, tools, and processes to govern and control the entire lifecycle of data assets. Perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them. Articulate information strategies that align with business objectives. 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 to support business intelligence and 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 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 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 required (4-year degree) in Engineering, Advanced Data Analytics, or a related technical or scientific field with prior consulting experience required. ERP implementation experience including full implementation cycles of SAP with SAP MDG as a component. At least 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry. Strong understanding of Data Governance principles and data quality frameworks, stewardship models, compliance, and policy creation. Experience with Enterprise IT Architecture and data architecture design. Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation). Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar. Hands-on experience with cloud platforms (Azure, Databricks, Snowflake) and data orchestration tools. Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships. Strong communication and stakeholder management skills across technical and business domains. Mentoring abilities and a track record of building high-performing data teams. A valid driver’s license in the US; willingness and ability to travel internationally to meet client needs. Ideally, you’ll also have
Experience in leading cross-functional teams with a focus on mentorship and professional development. Advanced analytical skills to drive data-driven decision-making. A passion for innovation and strategic application of 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. Strong emotional agility to navigate complex interpersonal dynamics. What We Look For
We seek individuals who are technically proficient and capable of inspiring and leading teams. Top performers demonstrate a passion for innovation, a commitment to excellence, and the ability to navigate complex challenges. What We Offer You
We offer a comprehensive compensation and benefits package, with base salary ranges and total rewards including medical, dental, pension/401(k), and paid time off. Specific salary ranges vary by location. Join us in a team-led and leader-enabled hybrid model. Most client-serving roles are expected to work in person 40-60% of the time over an engagement, project, or year. Flexible vacation policy and time off for holidays, personal/family care, and other leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
#J-18808-Ljbffr
Master Data Management/Governance – Senior Manager opportunity with EY. EY’s Analytics and Data team seeks a Senior Manager focusing on defining and driving data management strategy and technology implementation. The role requires a seasoned professional who can design a master data management design and lead delivery of system implementations. The individual should 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
Design and apply comprehensive methods, practices, policies, tools, and processes to govern and control the entire lifecycle of data assets. Perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them. Articulate information strategies that align with business objectives. 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 to support business intelligence and 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 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 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 required (4-year degree) in Engineering, Advanced Data Analytics, or a related technical or scientific field with prior consulting experience required. ERP implementation experience including full implementation cycles of SAP with SAP MDG as a component. At least 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry. Strong understanding of Data Governance principles and data quality frameworks, stewardship models, compliance, and policy creation. Experience with Enterprise IT Architecture and data architecture design. Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation). Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar. Hands-on experience with cloud platforms (Azure, Databricks, Snowflake) and data orchestration tools. Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships. Strong communication and stakeholder management skills across technical and business domains. Mentoring abilities and a track record of building high-performing data teams. A valid driver’s license in the US; willingness and ability to travel internationally to meet client needs. Ideally, you’ll also have
Experience in leading cross-functional teams with a focus on mentorship and professional development. Advanced analytical skills to drive data-driven decision-making. A passion for innovation and strategic application of 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. Strong emotional agility to navigate complex interpersonal dynamics. What We Look For
We seek individuals who are technically proficient and capable of inspiring and leading teams. Top performers demonstrate a passion for innovation, a commitment to excellence, and the ability to navigate complex challenges. What We Offer You
We offer a comprehensive compensation and benefits package, with base salary ranges and total rewards including medical, dental, pension/401(k), and paid time off. Specific salary ranges vary by location. Join us in a team-led and leader-enabled hybrid model. Most client-serving roles are expected to work in person 40-60% of the time over an engagement, project, or year. Flexible vacation policy and time off for holidays, personal/family care, and other leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
#J-18808-Ljbffr