Strategy & Operations – Data & Analytics Director

Who We Are

Elliott Davis pairs forward-thinking tax, assurance and consulting services with industry-leading workplace culture. Our nine offices — located in the fastest growing cities in the US — are built on a foundation of inclusivity, collaboration, and collective growth. We work daily to provide exceptional service to our people, customers, and our communities. Audit and assurance services are provided by Elliott Davis, LLC (doing business in NC and D.C. as Elliott Davis, PLLC), a licensed CPA firm.

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. The successful candidate will help clients define data strategies, automate business processes, build scalable analytics solutions, and deliver actionable insights that improve business performance.

The Director will lead client engagements, manage project scope and budgets, collaborate with executive and operational stakeholders, and oversee delivery of data and analytics solutions from strategy through deployment. The ideal candidate can bridge finance, accounting, technology, and business operations to create measurable client value and drive transformation initiatives.

In addition to client service responsibilities, this leader will contribute to business development efforts, including identifying opportunities, developing proposals, cultivating client relationships, and expanding Elliott Davis’s Data & Analytics offerings.

• Build trusted advisor relationships with client executives and functional leaders
• Lead multiple complex analytics, automation, and transformation engagements simultaneously
• Develop scalable and repeatable solutions that create measurable business value for clients
• Mentor and develop team members while helping expand the Data & Analytics practice
• Contribute to growth through proposal development, relationship expansion, and cross‑functional collaboration

• Lead client engagements by translating 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
• Advise clients on data governance, data quality, security considerations, and sustainable operating models that encourage enterprise adoption
• Evaluate emerging technologies, including AI‑enabled analytics and automation capabilities, that can improve client outcomes
• Mentor and develop team members while promoting continuous learning and adoption of emerging technologies
• Support recruiting, talent development, and team‑building initiatives
• Drive business development through relationship building, opportunity identification, and proposal development
• Communicate complex technical concepts effectively to technical and non‑technical audiences

• Executive communication and stakeholder management
• Client relationship development and trusted advisor mindset
• Solution architecture and problem solving
• Project and program leadership
• Change management and user adoption
• Business process transformation
• Team development and mentoring

• Data architecture and data modeling
• Data analytics, visualization, and reporting
• Workflow automation and process optimization
• Python, SQL, and related programming languages
• Data engineering concepts and practices
• Finance and/or accounting knowledge
• Enterprise software and analytics deployment
• Modern cloud and data platforms (Azure, Databricks, AWS, Snowflake, or similar technologies)
• Strong Excel proficiency