The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Director to join our Federal Advisory practice.

Responsibilities:

• Lead multi-disciplinary / cross-functional teams to identify business opportunities, develop machine learning models, and data science solutions
• Utilize best practices / processes to plan, lead, and execute delivery of data analytics and AI engagements
• Support KPMG clients in designing / developing modern enterprise data strategy, evaluating existing data platforms, identifying technology / process gaps, data maturity assessment, designing roadmaps for platform modernization, technology adoptions, and digital transformation
• Lead and support technical teams in developing and deploying data products and/or production-level AI and Machine Learning solutions by leveraging modern open source or enterprise ready tools / technologies
• Oversee large scale, critical data science initiatives / projects, ensuring timely delivery of engagement requirements
• Perform explanatory data analyses, generate / test working hypotheses, prepare / analyze historical data and identify patterns; perform machine learning, natural language, and statistical analysis methods (such as classification, cluster analysis, collaborative filtering, sentiment analysis, language modeling, time-series analysis, regression, statistical inference, etc.)

Qualifications:

• A minimum of eight years of data science / developing machine learning models; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university; advanced from an accredited college/university preferred
• Experience applying artificial intelligence / machine learning techniques to achieve business goals; ability to work with business to understand available resources and constraints around data (sources, integrity, definitions); provide assistance and resolve issues
• Expertise with programming languages such as Python, R, Java, SQL and open-source packages / libraries 
• Experience leading large technical data engagements and teams
• Experience developing Deep Learning Models (e.g. - CNN, Recurrent, etc.) and its applications (object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
• Experience establishing data governance, model validation protocols, reproducible pipelines, and quality frameworks aligned to federal requirements 
• Experience in leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate etc.) 
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Top-Secret clearance