Associate Director – Data Strategy, Enterprise Reporting, Implementation

Role Overview

• 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.

Tech Stack

• Amazon Redshift
• AWS
• Azure
• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• Numpy
• Pandas
• Python
• SQL
• Tableau

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