Strategy & Operations – Data & Analytics Director

Elliott DavisCharlotte, NC
Hybrid

About The Position

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.

Requirements

  • 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
  • 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, Dat databricks, AWS, Snowflake, or similar technologies)
  • Strong Excel proficiency

Nice To Haves

  • ETL and automation tools (Alteryx, Power Query, or similar platforms)
  • Business intelligence and visualization platforms (Power BI, Tableau, or equivalent)
  • Programming and analytics languages (Python preferred; R acceptable)
  • Data querying and database technologies (SQL and relational databases)
  • Cloud and modern data platforms (Azure, Databricks, Snowflake, AWS, or equivalent)

Responsibilities

  • 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

Benefits

  • generous time away and paid firm holidays, including the week between Christmas and New Year’s
  • flexible work schedules
  • 16 weeks of paid maternity and adoption leave, 8 weeks of paid parental leave, 4 weeks of paid and caregiver leave (once eligible)
  • first-class health and wellness benefits, including wellness coaching and mental health counseling
  • one-on-one professional coaching
  • Leadership and career development programs
  • access to Beyond: a one-of-a kind program with experiences that help you expand your life, personally and professionally
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