SDC AI and Data - Data Lead - Senior Manager​​

EY • Dallas, TX

6d • $85,300 - $247,500

About The Position

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 across 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 engage with Finance and Technology leaders as well as data architects, engineers, and analysts, while leading teams responsible for high-quality solutions. You will manage delivery and client outcomes, establish standards that help work scale across Service Delivery Center teams, and identify ways to apply AI, advanced analytics, and automation within the Finance data ecosystem.

EY offers a competitive compensation and benefits package, professional growth opportunities, coaching, collaboration, and training and development. The listed base salary range depends on office location: $102,400–$269,900 in New York City, Boston, Washington DC Metro Areas, Washington State, and Southern California; $106,700–$281,300 in Bay Area California offices; and $85,300–$247,500 in other US office locations, including Sacramento. Individual pay is determined by factors including education, experience, knowledge, skills, and geography.

Requirements

• Bachelor’s or master’s degree in finance, accounting, business, or computer science.
• At least 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 adoption and implementation of emerging data technologies.
• Willingness and ability to travel 10%–25% of the time.
• Valid US driver’s license.
• Valid passport.
• Ability to lead teams, deliver complex solutions, and provide high-quality client services.
• Strong communication and influencing skills; ability to communicate technical capabilities and recommendations to stakeholders.

Nice To Haves

• Certification in a database management system, reporting or data visualization tool, or 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.
• Proactive problem-solving and decision-making, adaptability to changing technology landscapes, and awareness of data management and cloud technology trends.

Responsibilities

• Lead 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 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 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 inform key stakeholders about 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 to senior Finance and Technology stakeholders.
• Identify opportunities to use AI, advanced analytics, and automation within the Finance data ecosystem while establishing the necessary data foundation.
• Lead, motivate, mentor, and coach engagement teams; provide constructive on-the-job feedback and support junior consultants.
• Foster an innovative, inclusive, team-oriented work environment and take accountability for team and project outcomes.
• Build relationships with internal and client stakeholders, using commercial awareness and effective relationship management.
• Apply systems analysis techniques and procedures to data movement and data quality; provide recommendations on engagement and client service issues.
• Travel 10%–25% of the time.

Benefits

• Medical coverage
• Dental coverage
• Pension plan
• 401(k) plan
• Minimum of 15 days of vacation plus ten observed holidays and three paid personal days, as described in the position posting
• Paid time off options, including designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
• Professional growth and career development opportunities
• Support and coaching from colleagues
• Training and development prospects

What This Job Offers

• Job Type: Full-time
• Career Level: Senior