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

Master Data Management/Governance – Senior Manager

The opportunity

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.

In this role, you will design and apply comprehensive methods, practices, policies, tools, and processes to govern and control the entire lifecycle of data assets. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them. Additionally, you will articulate information strategies that align with business objectives. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies.

Your key responsibilities

As a Senior Manager in Data Management, you will be at the forefront of transforming data into a strategic asset for our clients. You will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

Develop solutions to complex problems, including functional and technical design of master data management software for key data domains such as customer, vendor, finance, and materials

• 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.

Skills and attributes for success

To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to build and manage relationships will be crucial, as will your capacity to communicate with impact.

• The candidate should possess a minimum of 12 years of direct involvement with MDM tools including SAP MDG and/or Informatica MDM
• Experience leading delivery teams in the areas of data governance, data management, and related system implementations
• Knowledge of future trends/changes in the industry and the ability to articulate these to customers
• Benchmark design, development, delivery knowledge
• Working knowledge of any of the cloud technologies AWS and Azure.
• Strong leadership and communication skills, with the ability to articulate complex issues and drive business outcomes
• Proven ability to research and provide insights on industry standards, regulations, technology assessments, and forecasts
• Demonstrated expertise in Data Privacy and Master Data Management.
• Strong understanding of Data Governance and Enterprise Strategy.
• Proven ability to lead teams and manage change effectively.
• Excellent negotiation and influencing skills.

To qualify for the role, you must have

• 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 implementation 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.
• Experience with Enterprise IT Architecture.
• Deep knowledge of data governance, including data quality frameworks, stewardship models, compliance, and policy creation.
• Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).
• Demonstrated experience designing and deploying scalable data architectures
• Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
• 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.
• Passion for mentoring, knowledge sharing, and building high-performing data teams.
• Hands-on experience in cloud and data engineering tools including Azure, Databricks, Snowflake, and data orchestration platforms.
• A valid driver’s license in the US; willingness and ability to travel internationally to meet client needs
• A track record of successful stakeholder engagement and the ability to maintain and grow business relationships

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 the strategic application of emerging technologies to solve real-world challenges
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members
• 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 not only technically proficient but also possess the ability to inspire and lead teams. Top performers demonstrate a passion for innovation, a commitment to excellence, and the ability to navigate complex challenges with ease.