Senior Consultant - Data Analytics & AI

Job Title: Senior Consultant Data Analytics & AI

About the firm:

Citrin Cooperman is one of the largest accounting and consulting firms in the United States, and 4th among mid-Atlantic firms, with over 2,500 employees in 22 U.S. and International offices. This year, we were rated one of the Top 50 Best Companies to work for according to Vault.com. We are always looking for new team members who bring a fresh perspective, technical expertise, and a passion for solving problems.

At Citrin Cooperman, we offer you the flexibility to take your career to the next level and still allow you to focus on what matters to you!

Citrin Cooperman India LLP (CCI) provides shared services for Citrin Cooperman. Providing quality service to clients with the most efficient use of resources is always a challenge in today's professional world. CCI's mission is to provide outstanding professional support to all Citrin Cooperman offices throughout the year in the areas of accounting, attest and auditing, tax compliance and consulting, business advisory, valuation, litigation support, and other professional work.

Job Description:

Senior Consultant Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data. This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fabric. Lead data initiatives, optimize data pipelines, and develop AI-driven solutions that enhance business decision-making and operational efficiency.

Key Responsibilities:

Data Analytics & AI Solutions Development:

Design and implement data analytics to support client business needs.

Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric.

Optimize data integration workflows using Microsoft OneLake, Synapse Data Engineering, and Data Factory.

Implement AI-driven automation, predictive modeling, and machine learning solutions.

Ensure data accuracy, consistency, and reliability across cloud and on-premises environments.

Microsoft Fabric & Cloud Expertise:

Leverage Microsoft Fabric's suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.

Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.

Ability to guide clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights.

Stay updated on Microsoft Fabric innovations, AI Copilot, and emerging data capabilities.

Client Engagement & Advisory:

Act as a trusted advisor to clients, understanding their business needs and recommending tailored data solutions.

Provide best practices on data governance, compliance, security, and responsible AI adoption.

Translate technical concepts into clear, actionable business insights for non-technical audiences.

Project Delivery & Execution:

Develop end-to-end analytics, ensuring timely and high-quality deliverables.

Collaborate with cross-functional teams.

Monitor project risks, troubleshoot technical challenges, and proactively mitigate roadblocks.

Ensure documentation, training, and knowledge transfer for sustainable analytics adoption.

Qualifications & Experience:

Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field.

3+ years of experience in data analytics, AI, or cloud-based data engineering, with at least 2 years in a consulting role.

Hands-on experience with Microsoft Fabric, including Synapse Analytics, Data Factory, OneLake, and Power BI is ideal.

Strong proficiency in SQL, Python, or R for data manipulation and AI development.

Experience with Azure services (Data Lake, Azure ML, Cognitive Services, Databricks, or Power Automate).

Proven ability to design analytics solutions, optimize data pipelines, and drive business impact.

Excellent problem-solving, communication, and stakeholder management skills.

Additional Qualifications:

Microsoft Fabric or Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer).

Experience with AI-powered analytics, NLP, and large-scale machine learning model deployment.

Knowledge of data governance, security best practices, and compliance regulations.