Associate Director – Data Strategy, Enterprise Reporting and Implementation

October 3

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CrossCountry Consulting

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B2B • Finance • Enterprise

CrossCountry Consulting is a business advisory firm that provides integrated solutions for financial and risk management. Their expertise includes technical accounting, financial reporting, operational accounting optimization, and integrated risk management. The company also specializes in technology-enabled transformation, supporting organizations with finance transformation, data transformation, and analytics. CrossCountry Consulting serves various industries such as financial services, life sciences, technology, media, telecommunications, real estate, hospitality, and government contracting. With a focus on strategic finance, the firm helps clients through transactions like IPO readiness, mergers and acquisitions, and divestitures. They aim to create present and future value for businesses by collaborating with CFOs, private equity sponsors, and corporate leaders to solve current challenges and prepare for future success.

501 - 1000 employees

🤝 B2B

💸 Finance

🏢 Enterprise

💰 $1.5M Venture Round on 2021-02

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ 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