Manager- Data Strategy, Enterprise Reporting and Implementation
1 week ago
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For CFOs, CIOs, and corporate leaders to cost-effectively achieve strategic growth, real-time data insights, competitive differentiation, and complete compliance, they need a robust digital architecture that maximizes technology investments and process efficiencies. Our data systems specialists design, build, and deploy leading data, analytics, and automation programs that generate rapid ROI across the enterprise. By joining our rapidly growing Data Transformation & Analytics practice you will serve as a trusted partner to our clients. You will bring 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. 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. What You'll Do:
- 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
- Contribute to go-to-market strategy and practice-specific programs
- Prior experience managing client and/or internal teams by guiding performance against objectives, creating an atmosphere of trust and collaboration, and encouraging continuous improvement and innovation.
- Experience and proficiency advising clients on modernizing their data architecture and using data analytics tools for cleansing and visualization (e.g., Tableau, Power BI, Alteryx).
- Knowledge of project management methodologies (e.g., Agile, Scrum, Lean, Waterfall).
- Understanding of key finance (and other) processes like Lead to Cash / Order to Cash, Procure to Pay, Record to Report, Hire to Retire.
- Experience in supporting Large Enterprise organizations, Private Equity portfolio companies or Private Equity sponsors preferred.
- 5+ 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.
- Experience in implementation of Snowflake, Databricks, Amazon Redshift, Azure Synapse Analytics.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP
- 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.
Benefits Summary The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site: https://www.crosscountry-
Equal Employment Opportunity (EEO) CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace.
As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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