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Ernst & Young

Global professional services: consulting, assurance, tax

SDC AI and Data – Data Lead – Senior Manager

Data ManagementUpdated on Nov 14
Full-time$85.3k - $247.5k

About the Job

Requirements

  • A bachelor’s or master’s degree in finance, accounting, business, or computer science.
  • A minimum of eight years of progressive experience in finance data management, data architecture, or delivery of finance data solutions.
  • Significant experience designing and delivering finance data architecture and data models.
  • Experience designing semantic/data models, data integration patterns, and analytics-ready data products.
  • Experience implementing data governance disciplines, including data quality, reconciliation, master/reference data, lineage, and metadata.
  • Working knowledge of or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure.
  • Experience working with business, management, and technology concepts.
  • Knowledge of data reporting solutions, including the ability to leverage data pivoting, graphs, and charts.
  • Excellent written and verbal communication, collaboration, analytical, and problem-solving skills.
  • Ability to work effectively in a fast-paced, dynamic environment and support the adoption and implementation of emerging data technologies.
  • Willingness and ability to travel 10%–25% of the time.
  • A valid US driver’s license.
  • A valid passport.

Responsibilities

  • Lead the execution of data management strategies for finance systems, aligning data requirements and technology platforms with business processes and supporting continuous improvement.
  • Lead the design and delivery of finance data architecture, data models, and system architecture solutions in collaboration with technical teams.
  • Design and implement an extensible common information model for finance data solutions, ensuring scalability, performance, and security.
  • Develop and maintain data dictionaries, entity-relationship diagrams, and data lineage maps.
  • Support the establishment and maintenance of robust finance data governance, including data quality standards, reconciliation processes, and master data management.
  • Collaborate with finance subject matter resources across service lines to define data requirements and identify opportunities to improve efficiency, accuracy, and insights for finance applications.
  • Partner with Finance SMEs, enterprise architects, data engineering teams, and application teams to define source-to-target requirements and integration patterns.
  • Monitor progress, manage client expectations, and keep key stakeholders informed of risks, progress, and expected outcomes.
  • Establish engineering and delivery standards that enable work to scale efficiently across Service Delivery Center teams.
  • Manage delivery plans, dependencies, risks, issues, and quality while maintaining accountability for commitments.
  • Communicate architecture decisions, trade-offs, risks, and progress clearly to senior Finance and Technology stakeholders.
  • Identify opportunities to use AI, advanced analytics, and automation within the Finance data ecosystem while establishing the required data foundation.
  • Lead, motivate, mentor, and coach engagement teams with diverse skills and backgrounds, provide constructive on-the-job feedback, and support junior consultants.
  • Foster an innovative and inclusive team-oriented work environment.
  • Be accountable for the success of the team and the project’s components.
  • Build strong relationships with internal and client stakeholders at appropriate levels, supported by commercial awareness and effective relationship management.
  • Demonstrate in-depth technical capabilities, professional knowledge, and interest in industry and technology.
  • Apply systems analysis techniques and procedures to data movement and data quality.
  • Manage and deliver complex solutions and consistently provide high-quality client services.
  • Demonstrate an understanding of the current technology environment and industry trends, and provide recommendations for engagement and client service issues.

Desired Qualifications

  • Certification in a database management system, a reporting or data visualization tool, or a programming or statistical language.
  • Experience in the healthcare or insurance industry, preferably supporting finance data management or analytics initiatives.
  • Experience leading diverse teams in dynamic environments, with interpersonal skills to foster collaboration and client trust.
  • A proactive approach to problem-solving and decision-making, with the ability to adapt to changing technology landscapes and stay current with data management and cloud technology trends.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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