AI & Machine Learning Director

At Alix Partners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, Alix Partners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices.

We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.

Alix Partners has embraced a hybrid work model to provide flexibility and support our employees' work‑life integration. Our hybrid model combines a mix of in‑person (at client site or Alix Partners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.

Are you looking for a future that exceeds your expectations? Alix Partners, a leading global consulting firm, is searching for a Performance Improvement Director who is passionate about delivering high value, complex opportunities. Our advisory/consulting organization is distinctive – we offer 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 Alix Partners 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. Our seasoned professionals are recognized experts in their respective fields, using their skills and experience to build measurable, better outcomes for our clients. In this challenging role, you will be responsible for leading 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.

In this leadership role, you will work with others and be instrumental in developing and building a business in your area(s) of expertise. To be successful, you are commercially savvy, with a passion for and track record of business development contributions in a professional services environment. As part of our collaborative team, you will have the opportunity to achieve exceptional results in our high energy environment, with continuous opportunities to pursue your professional development, career interests and growth aspirations.

This is a full time Director position. Relocation assistance is not available for this position.

This description is not designed to encompass a comprehensive listing of required activities, duties or responsibilities.

In this role, you will have the chance to create ETL workflows, scripts, statistical models, and visualizations while taking responsibility for the design, build, test, execution, and support of the data migration, cleansing, wrangling, etc. The ideal candidate will have a detailed understanding of the underlying data and data structures of multiple systems to allow in depth analysis of existing and potential data insights.

• Selecting features, building and optimizing classifiers using machine learning techniques
• Execute machine learning projects using state‑of‑the‑art methods
• Extending the company's data with third‑party sources of information when needed
• Creating automated anomaly detection systems and constant tracking of its performance

• Experience with common data science toolkits, such as Python, PySpark, R. Excellence in at least one of these is highly desirable
• Excellent understanding of machine learning techniques and algorithms, such as k‑NN, Naive Bayes, SVM, Decision Forests, etc.
• Collect data from a wide variety of corporate databases, including various SQL databases – Microsoft, Redshift, Teradata, Oracle, Netezza, etc. – Access, Excel, plain or formatted text files, OLAP…