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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SDC AI and Data - Data Lead - Senior Manager - **Company:** Ernst & Young LLP - **Location:** San Antonio, TX, United States - **Experience:** Expert - **Salary:** $102,400 - $269,900 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, Entity Relationship Models, Information Model, Systems Analysis, Metadata, Reference Data, Systems Architecture, Snowflake, Data Strategy, Information Technology, Data Lineage, Data Management, Databricks - **Published:** November 4, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3494050834&tx=YT1414THV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Leading, motivating, mentoring, and coaching engagement teams with diverse skills and backgrounds, including providing constructive on-the-job feedback and supporting junior consultants * Fostering an innovative and inclusive team-oriented work environment * Being accountable for the success of your team and the project's components * Building strong relationships with internal stakeholders and client stakeholders at appropriate levels, supported by commercial awareness and effective relationship management * Great communication and influencing skills * Demonstrating in-depth technical capabilities, professional knowledge, and an interest in industry and technology * Applying systems analysis techniques and procedures to data movement and data quality * Proven ability to manage and deliver complex solutions and consistently provide high-quality client services * Demonstrating an understanding of the current technology environment and industry trends, and providing recommendations for engagement and client service issues To qualify for the role, you must have: * 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 * A willingness and ability to travel 10%-25% of the time * A valid US driver's license * A valid passport Ideally, you'll also have: * 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 exceptional 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 What we look for We're looking for an experienced Finance Data leader who can independently translate complex Finance requirements into modern data architecture, guide engineering teams through implementation, and take accountability for delivery and client outcomes. ## Description As the Finance Data Lead, you will lead the architecture and delivery of modern finance data solutions supporting financial planning, reporting, analytics and AI-enabled transformation. You will work at the intersection of Finance, Data and Technology, translating complex finance requirements into scalable data products, models and platforms. This is a hands-on delivery leadership role. You will be expected to move comfortably from conversations with Finance and Technology leaders to detailed discussions with data architects, engineers and analysts, while leading teams responsible for delivering high-quality solutions., * 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.