Associate Director - Data Strategy, Enterprise Reporting and Implementation

CrossCountry Consulting-posted 6 months ago
Full-time • Senior
501-1,000 employees
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As an Associate Director at CrossCountry Consulting, you will be responsible for a mix of client delivery, leading teams and developing junior team members, and participating in business development activities. You will serve as a trusted partner to our clients, bringing your first-hand experience, unique perspectives, and functional knowledge to deliver tailored integrated solutions that help our clients solve today's challenges and set the foundation for future success.

  • Serve as a strategic thought partner to C-suite executives on data initiatives, understanding client personas (CFO, CIO, CHRO, CAO) and advising on harnessing data to support strategic goals.
  • Advise clients on establishing a technology and data strategy program that democratizes data, leverages modern cloud platforms, promotes data management, uncovers critical control needs, monitors data quality, and more.
  • Enhance clients’ technology stack and serve as Solution Architect to implement, collect, store, transform, process, and analyze data in a single source of truth consistently, efficiently, and without siloes.
  • Architect and design scalable, secure, and high-performance data solutions across multiple cloud platforms.
  • Lead end-to-end data solution implementation, including ingestion, storage, transformation, and visualization using tools like Snowflake, Databricks, Amazon Redshift, Google BigQuery, Azure Synapse Analytics, Fivetran, Talend, PowerBI, Tableau, and Sigma Computing.
  • Collaborate with business stakeholders, data engineers, and developers to define technical requirements and best practices.
  • Develop and enforce data governance, security, and compliance standards across data platforms.
  • Optimize data pipelines and ETL processes for performance, scalability, and cost efficiency.
  • Evaluate emerging technologies and recommend solutions to improve data infrastructure and analytics capabilities.
  • Provide technical guidance and mentorship to data engineers and other team members.
  • Ensure seamless integration of data platforms within the enterprise architecture.
  • Support clients with the design and implementation of forecasting and predictive analytics models.
  • Interview clients to identify root causes of challenges; define and document business requirements.
  • Conduct current state / future state gap analysis for business and data processes.
  • Create executive level communications and presentations.
  • Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve complex issues.
  • Support business development by building relationships with key internal and external stakeholders.
  • Contribute to go-to-market strategy and practice-specific programs.
  • 9+ years of professional experience leading initiatives or client engagements with a focus on data strategy, data architecture, data engineering, or cloud-based analytics solutions, dealing with large data sets and interpreting data to draw meaningful insights and recommendations.
  • 5+ years of experience in implementation of Snowflake, Databricks, Amazon Redshift, Azure Synapse Analytics.
  • 5+ years of hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • 5+ years of experience managing technical teams focused on delivering analytical products and solutions.
  • Experience with ETL/ELT pipelines, data lake architectures, and real-time data processing.
  • Understanding of data security best practices, compliance standards, and access control.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
  • Bachelor’s degree or higher in Business, Finance, Economics, Engineering, Information Systems, Mathematics, Data Science, or a similar discipline.
  • Proficiency in SQL.
  • Understanding of Python programming language (emphasis on Pandas, NumPy, matplotlib packages).
  • MBA / CPA [preferred].
  • Certification in Snowflake / Alteryx / PowerBI / Tableau [preferred].
  • SnowPro Advanced Certification [highly preferred].
  • Willingness to travel based on client preferences.
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