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EY

Data Lead – Senior Manager

EY

. Lead architecture and delivery of modern finance data solutions supporting financial planning, reporting, analytics, and AI-enabled transformation .

Posted 11/2/2026full-timeSan Antonio • Texas • United StatesSenior💰 $85,300 - $247,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in finance data architecture, data governance, and the delivery of finance data solutions, with a strong focus on collaboration and communication with stakeholders. Proficient in leveraging cloud technologies and advanced analytics to enhance financial planning and reporting.

Highest-signal resume keywords
Finance Data ArchitectureData GovernanceCloud Technologies (Snowflake, Databricks, AWS, Azure)Data Management StrategiesData Integration Patterns

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelsData Quality StandardsEntity-Relationship DiagramsData Lineage MapsSemantic/Data ModelsAnalytics-Ready Data ProductsReconciliation ProcessesMaster Data ManagementData Reporting SolutionsData Pivoting
Soft Skills
Excellent CommunicationCollaborationAnalytical SkillsProblem-Solving SkillsMentoring
Industry Keywords
Finance Data SolutionsFinancial PlanningReportingAnalyticsAI-Enabled TransformationData Governance DisciplinesFast-Paced EnvironmentStakeholder ManagementEmerging Data TechnologiesClient Relationships

Tech Stack

Tools & technologies
AWSAzureCloudSnowflake

About the role

Key responsibilities & impact
  • Lead architecture and delivery of modern finance data solutions supporting financial planning, reporting, analytics, and AI-enabled transformation
  • Lead execution of data management strategies for finance systems
  • Design and deliver finance data architecture, data models, and system architecture solutions
  • Design and implement an extensible common information model for finance data solutions
  • Develop and maintain data dictionaries, entity-relationship diagrams, and data lineage maps
  • Establish and maintain finance data governance, including data quality standards, reconciliation processes, and master data management
  • Collaborate with finance subject matter resources to define data requirements and improve efficiency, accuracy, and insights
  • Partner with Finance SMEs, enterprise architects, data engineering teams, and application teams on source-to-target requirements and integration patterns
  • Monitor progress, manage client expectations, and communicate risks, progress, and expected outcomes
  • Establish engineering and delivery standards across Service Delivery Center teams
  • Manage delivery plans, dependencies, risks, issues, and quality
  • Communicate architecture decisions, trade-offs, risks, and progress to senior Finance and Technology stakeholders
  • Identify opportunities for AI, advanced analytics, and automation within the Finance data ecosystem
  • Lead, motivate, mentor, and coach diverse engagement teams
  • Build relationships with internal and client stakeholders

Requirements

What you’ll need
  • Bachelor’s or master’s degree in finance, accounting, business, or computer science
  • 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 with business, management, and technology concepts
  • Knowledge of data reporting solutions, including 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 emerging data technologies
  • Willingness and ability to travel 10%–25% of the time
  • Valid US driver’s license
  • Valid passport

Benefits

Comp & perks
  • Medical and dental coverage
  • Pension and 401(k) plans
  • Minimum of 15 days of vacation
  • Ten observed holidays
  • Three paid personal days
  • Flexible vacation policy
  • EY Paid Holidays
  • Winter/Summer breaks
  • Personal/Family Care and other leaves of absence
  • Opportunities to develop new skills and progress your career
  • Support and coaching from knowledgeable colleagues
  • Collaborative work environment
  • Training and development prospects
  • Compensation based on performance and recognized value