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

EY-posted 3 months ago
$144,000 - $329,100/Yr
Full-time • Senior
Clayton, MO
5,001-10,000 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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.

  • 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.
  • 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.
  • 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.
  • Comprehensive compensation and benefits package.
  • Medical and dental coverage.
  • Pension and 401(k) plans.
  • Wide range of paid time off options.
  • Flexible vacation policy.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Data Governance Consultant Resume Examples
•
Data Governance Consultant Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service