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AlixPartners

Global strategic and restructuring consulting

Artificial Intelligence and Machine Learning Senior Vice President

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A bachelor's degree with concentration in Computer Science, Engineering, or another quantitative field is required.
  • At least 7 years of applicable professional experience is required.
  • The candidate must be able to synthesize requests received from team members at client sites.
  • The candidate must be willing to engage with geographically dispersed teams.
  • The candidate must be able to work with Python, JavaScript, C#, or a similar language and be familiar with at least one ETL tool such as Alteryx, KNIME, SSIS, Pentaho, or DataStage.
  • The candidate must have strong verbal and written communication skills in English.
  • The candidate must be willing to work long hours and travel as necessary to meet client demands.
  • The candidate must be able to work full-time in office and remote environments and remain at a computer for significant portions of the workday.
  • The candidate must be willing to work outside normal U.S. business hours as project needs arise.
  • The candidate must promote and follow the company's Code of Conduct and foster an inclusive environment.

Responsibilities

  • Lead projects and client engagements.
  • Analyze corporate performance and drive cost reductions, revenue growth, and profitability improvement in areas of expertise.
  • Develop and build a business in areas of expertise.
  • Contribute to business development in a professional services environment.
  • Select features and build and optimize classifiers using machine learning techniques.
  • Execute machine learning projects using state-of-the-art methods.
  • Extend company data with third-party information sources when needed.
  • Create automated anomaly detection systems and continuously track their performance.
  • Collect data from corporate databases, SQL databases, Access, Excel, text files, OLAP cubes, and NoSQL databases.
  • Parse data from poorly structured XML and invalid HTML documents.
  • Use regular expressions to extract information from unstructured text documents.
  • Address missing data through multiple imputation or advanced models.
  • Automate repetitive tasks with scripts.
  • Build reliable ETL processes governing data-ingestion flows.
  • Design database models, consistent table structures, and advanced dimensional schemas that meet data quality and consistency standards.
  • Apply modeling approaches, business intelligence patterns, and data management techniques.
  • Use advanced SQL, including common table expressions and window functions, across multiple aggregation levels.
  • Review and analyze legacy code and scripts to understand data-processing logic and business rules.
  • Apply statistical learning languages to build predictive models that deepen data analysis and solutions.
  • Use knowledge of distributed systems, especially HDFS and the Hadoop ecosystem.
  • Use interactive data-visualization tools such as Tableau and Power BI to present results.
  • Present complex technical findings to nontechnical audiences.

Desired Qualifications

  • Knowledge of cloud architectures, with some knowledge of Azure, AWS, or Google Cloud Platform desired.
  • Proficiency in languages other than English is a plus.

About the Company

AlixPartners

Global strategic and restructuring consulting

AlixPartners provides global consulting services across industries such as automotive, financial services, and healthcare, focusing on strategy, performance improvement, restructuring, and technology implementation. Projects are run by senior-led teams who assess a client’s situation, develop targeted solutions, and implement changes designed to deliver measurable, high-impact results. Its recent acquisition of Berylls strengthens automotive capabilities and deepens industry expertise. The goal is to help clients solve urgent challenges and achieve practical, scalable performance gains and growth.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$364.8M
Headquarters
New York City, New York
Founded
1981

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