Manager, Federal Artificial Intelligence (AI) Engineering

KPMG LLP; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

KPMG is seeking a Manager to join our Federal Advisory practice in McLean, VA. You will plan, lead, and execute data / AI engagements, defining objectives and deliverables while mitigating risk in data, modeling, and validation.

You will lead workshops with clients and cross-functional teams to identify opportunities, design analytical solutions, and oversee end-to-end analytics and ML model development. The role requires five years of AI/IT/Data Science experience, a Bachelor's degree, and

Qualifications

• Minimum five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
• Deep technical understanding of data preparation approaches and machine learning algorithms
• Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment
• Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
• Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices)
• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code
• Applicant must possess or be eligible for U.S. Government clearance

Responsibilities

• Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery)
• Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions
• Work with clients to discover data sources and create data requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources
• Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery
• Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables
• Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards
• Ability to travel as required to support firm engagements
• Applicant must possess or be eligible for U.S. Government clearance

Skills

Artificial Intelligence

Data Science

NLP

Python

Distributed computing

Cloud platforms

Education

Bachelor's degree

Tools

Hadoop

Spark

Hive/Impala

HBase

MongoDB

Casandra

Teradata

Netezza

Redshift

Job description

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

Responsibilities:

• Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery)
• Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions
• Work with clients to discover data sources and create date requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, images, video, voice, emails, financial data, and operational data)
• Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery
• Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables
• Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards
• Ability to travel as required to support firm engagements

Qualifications:

• A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
• Deep technical understanding of data preparation approaches and machine learning algorithms
• Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment
• Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
• Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices)
• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code
• Ability to travel as required to support firm engagements
• Applicant must possess or be eligible for U.S. Government clearance