Strategy & Operations – Data & Analytics Director

About the role

Elliott Davis is seeking an experienced, data-driven leader to join the Data & Analytics team within Strategy & Operations as a Director. This role combines client delivery, practice development, and team leadership responsibilities.

Responsibilities

• Translate complex data into actionable insights that support strategic decision-making and business outcomes
• Design, oversee, and execute analytics initiatives involving structured and unstructured data using modern analytical techniques
• Manage projects from requirements gathering through implementation while maintaining scope, budget, timelines, and stakeholder communication
• Lead or support deployment of software, automation, and analytics solutions within enterprise environments and modern cloud platforms
• Partner with stakeholders across finance, accounting, FP&A, operations, and technology functions to deliver cross-functional solutions
• Evaluate emerging technologies, including AI-enabled analytics and automation capabilities, that can improve client outcomes
• Advise clients on data governance, data quality, security considerations, and sustainable operating models that encourage enterprise adoption
• Mentor and develop team members while promoting continuous learning and adoption of emerging technologies
• Drive business development through relationship building, opportunity identification, and proposal development
• Communicate complex technical concepts effectively to technical and non-technical audiences

Qualifications & Experience

• Bachelor's degree required; quantitative disciplines such as Accounting, Finance, Information Systems, Statistics, Computer Science, or related fields preferred
• Experience in analytics, consulting, audit, technology implementation, or related client-service environments
• Strong client-facing communication, presentation, and relationship-management skills
• Experience in driving growth through both new and expanding existing relationships
• Experience leading teams and managing complex engagements
• Demonstrated ability to independently research, solve problems, and develop practical solutions
• Experience deploying and scaling analytics, automation, or data solutions within enterprise environments
• Experience supporting middle-market organizations, private equity-backed companies, or other complex operating environments preferred
• Prior experience with ETL and automation tools (Alteryx, Power Query, or similar platforms)
• Prior experience with Business intelligence and visualization platforms (Power BI, Tableau, or equivalent)
• Prior experience with Programming and analytics languages (Python preferred; R acceptable)
• Prior experience with Data querying and database technologies (SQL and relational databases)
• Prior experience with Cloud and modern data platforms (Azure, Databricks, Snowflake, AWS, or equivalent)