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CrossCountry Consulting

CrossCountry Consulting

via Ladders

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Associate Director – Data Strategy, Enterprise Reporting, Implementation

Anywhere
Full-time
Posted 2/10/2026
Verified Source
Key Skills:
Data strategy
Cloud data platforms (Snowflake, Databricks, Redshift, Synapse)
Data architecture and engineering

Compensation

Salary Range

$200K - 250K a year

Responsibilities

Design and implement scalable, secure data solutions and advise clients on data governance, analytics, and AI integrations.

Requirements

Extensive experience (9+ years) in data architecture, cloud analytics, and managing technical teams, with specific expertise in Snowflake, Databricks, and cloud platforms.

Full Description

Job 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. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal 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 stakeholder. • 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

This job posting was last updated on 2/17/2026

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