Director - Data Strategy, Enterprise Reporting and Implementation

CrossCountry Consulting

10d

About The Position

CrossCountry Consulting is seeking a Director to join its Data Transformation & Analytics practice. The Director will act as a trusted client partner, delivering data, AI, and technology solutions that help CFOs, CIOs, and corporate leaders modernize workflows, improve process efficiency, generate real-time insights, and strengthen compliance. The role combines client delivery, business development, practice leadership, team management, and development of junior team members, and includes serving on CrossCountry’s leadership team.

The Director will advise clients on data and AI strategy; architect and implement enterprise cloud data foundations; enable finance analytics, ERP, and EPM integrations; and lead AI and agentic solution delivery. The role also serves mid-market, private-equity-backed companies, helping assess data maturity and build scalable foundations for growth, value creation, acquisitions, and exit readiness. The Director will oversee client engagements and accounts, develop service offerings and go-to-market approaches, manage project teams and budgets, build client relationships, and mentor and evaluate team members. Travel of up to 30% is required, varying with client preferences.

Requirements

• Bachelor’s degree in Accounting, Finance, Information Systems, Computer Science, or a related field.
• Deep hands-on expertise designing and implementing cloud data environments on platforms such as Snowflake, Databricks, and Microsoft Fabric, including ingestion and integration, lakehouse and warehouse architecture, data modeling, and architecture modernization.
• Experience building semantic layers with governed metrics, business definitions, and finance data models.
• Proven experience partnering with CFOs and CIOs to design data foundations supporting finance analytics, AI and agentic platforms, and ERP and EPM integrations.
• Experience building AI-ready data capabilities, including data models, metadata management and catalogs, lineage, data quality and observability, unstructured data processing, vector search and RAG pipelines, role-based access controls, and governance and monitoring for generative and agentic AI.
• Understanding of finance and business processes such as Lead to Cash / Order to Cash, Procure to Pay, Record to Report, and Hire to Retire.
• Knowledge of project management methodologies such as Agile, Scrum, Lean, and Waterfall.
• Private Equity experience: a track record working with CFOs and CIOs at mid-market, PE-backed portfolio companies, assessing data maturity and building scalable solutions for growth, value creation, acquisitions, and exit readiness.
• Excellent presentation and communication skills and executive presence to present confidently to CFOs and CIOs.
• Consistent success building strong client relationships.
• Proven experience identifying new growth and shared-revenue opportunities with sales leadership to generate business, expand relationships, and increase bookings.
• Experience managing client and/or internal teams, guiding performance against objectives, fostering trust and collaboration, and encouraging continuous improvement and innovation.
• AI-first approach to client problem-solving, including guiding CFOs and CIOs on where AI creates value and responsibly adopting firm-approved AI tools.
• Openness to learning and applying emerging technologies, including AI and automation, in alignment with firm policies and client standards.
• Passion for mentoring and leading teams while efficiently implementing new ideas and initiatives.
• Willingness to travel up to 30%, with travel varying based on client preferences.

Nice To Haves

• Familiarity with business intelligence tools such as Power BI and Tableau.
• Experience with semantic-layer technologies such as dbt Semantic Layer, Snowflake semantic views, Databricks metric views, or Fabric semantic models.

Responsibilities

• Advise CFOs and CIOs on AI-first data strategies and roadmaps, including data democratization, modern cloud platforms, data management and quality, controls, and high-value AI use cases.
• Serve as solution architect for scalable, secure, high-performance enterprise data foundations on cloud platforms, leading ingestion, storage, transformation, and semantic modeling.
• Design data architectures connecting ERP systems and EPM platforms to support close, consolidation, planning, forecasting, and management reporting.
• Architect data foundations for AI platforms and agentic solutions, and lead AI use-case delivery for finance and operations with appropriate data readiness, governance, and controls.
• Partner with CFOs and CIOs at mid-market, private-equity-backed companies to assess data maturity and build scalable foundations for growth, value creation, acquisitions, and exit readiness.
• Define and enforce governance, security, and compliance standards; optimize data pipelines and ETL; and design forecasting and predictive analytics models.
• Interview clients to identify root causes, document business requirements, and conduct current-state and future-state gap analyses for business and data processes.
• Develop and deliver executive-level presentations and communications that translate complex data and AI architectures into business value.
• Contribute to firm-approved AI-enabled client solutions in accordance with data protection, intellectual property, and professional standards.
• Monitor emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities for client solutions and internal processes.
• Oversee client accounts, projects, and engagements, including work plans, staffing, timelines, fee negotiations, budgets, deliverables, and integrated project plans.
• Lead business development and market the firm’s services to prospective clients, using existing relationships to generate opportunities.
• Resolve issues, mitigate risks, and address project team conflicts.
• Create delivery methodologies and service offerings and contribute to go-to-market strategy and practice programs.
• Evaluate emerging technologies and recommend solutions to improve clients’ data infrastructure and analytics capabilities.
• Manage teams and track and direct performance against objectives while encouraging continuous improvement and innovation.
• Mentor and coach team members, provide regular feedback and annual performance reviews, and guide project teams through complex issues.

Benefits

• Comprehensive healthcare options, including medical, dental, and vision coverage.
• Flexible spending accounts.
• 401(k) with company matching.
• Generous parental and maternity leave policies.
• Technology stipends.
• Wellness reimbursement programs.

What This Job Offers

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