AI & Machine Learning Vice President

About the role

AlixPartners, a leading global consulting firm, is searching for an AI and Machine Learning Vice President who is passionate about delivering high value, complex opportunities. Our advisory/consulting organization offers our consulting professionals the opportunity to work on situations that are literally on the front page of the Wall Street Journal, as well as at the top of Board Room agendas. We work for owners, boards and CEOs and they hire AlixPartners to assist on solving their most complex, highest value opportunities. Our practice works with healthy, under-performing and distressed companies across a variety of urgent, high impact situations.

Responsibilities

• Lead projects and client engagements, analyzing corporate performance, driving cost reductions, revenue growth and profitability improvement in your industry or functional area(s) of expertise in 'high stakes' situations
• Work with others and be instrumental in developing and building a business in your area(s) of expertise
• Select features, build and optimize classifiers using machine learning techniques
• Execute machine learning projects using state-of-the-art methods
• Extend company's data with third party sources of information when needed
• Create automated anomaly detection systems and constant tracking of its performance
• Collect data from a wide variety of corporate databases, including various SQL databases (Microsoft, Redshift, Teradata, Oracle, Netezza), Access, Excel, plain or formatted text files, OLAP cubes (Microsoft, Oracle), and no-SQL databases
• Parse data out of poorly structured XML and invalid HTML documents
• Use regular expressions to extract information from un-structured text documents
• Deal with missing data through multiple-imputation or the use of advanced models
• Automate boring tasks with scripts
• Build effective, reliable, and robust ETL processes that govern the data ingestion flow
• Design database models, consistent table structures, and advanced dimensional schemas that carry out data quality and consistency standards
• Apply modeling approaches, business intelligence patterns, and data management techniques
• Demonstrate advanced SQL skills, such as CTEs and window functions, to work with extensive amounts of data at various aggregation levels
• Review and analyze legacy code/scripts to understand data processing logic and business rules
• Apply statistical learning languages to build predictive models that enrich, expand, and allow deeper understanding of data analyses and solutions
• Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner
• Ability to tell a convincing story to C-level executives using visual charts and dashboards
• Present complicated technical findings to a non-technical audience

Qualifications

• Bachelor's degree with concentration in Computer Science, Engineering or another quantitative field
• 5+ years of applicable professional experience
• Ability to synthesize the requests received from team members at client sites
• Desire to actively engage in geographically dispersed teams
• Capability to be a creative, innovative problem solver - but using simple ideas
• Knowledge of any of the following languages: Python, JavaScript, C#, or similar plus familiarity with at least one ETL tool (such as Alteryx, KNIME, SSIS, Pentaho, or DataStage)
• Motivated to discover and learn new analytical techniques and software tools to improve the quality of our work
• Strong verbal and written communication skills in English
• Ability and willingness to work long hours and travel if necessary, to meet client demands
• Ability to work full-time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday
• Willingness to work outside of normal U.S. business hours, and in particular as unique projects/needs arise
• Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners' Code of Conduct and foster an inclusive environment with people at all levels of an organization

Skills

• Experience with common data science toolkits, such as Python, PySpark, R (excellence in at least one is highly desirable)
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Distributed systems knowledge, especially of HDFS and the Hadoop ecosystem
• Understanding of cloud architectures (some knowledge in Azure, AWS or GCP is desired)
• Proficiency in other languages is a plus

Benefits

• Comprehensive benefits program including health, vision, dental, disability, 401K, tuition reimbursement, identity theft protection, and mental wellness support
• Generous paid leave policy including vacation/personal time starting at 5.67 hours per pay period, sick time up to 80 hours annually, parental leave and twelve holidays

Pay

The salary range for this role is between $120,000/year - $220,000/year with eligibility for an annual discretionary bonus.

Schedule

This is a full time Vice President position. The firm has embraced a hybrid work model combining in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position.

This response is AI-generated, for reference only.