nability, resilience, automation, advanced analytics and enabling new customer experiences and commercial models. This practice brings together supply chain practitioners with cutting edge knowledge of digital supply chains and a deep understanding of the interconnections between various supply chain functions from procurement to manufacturing and aftermarket.
Digital Supply Networks | Deloitte US
Roles and Responsibilities
As a Manager you will work in a collaborative and diverse team environment providing many opportunities to have an active voice. You will advise clients on their Supply Chain and Operations AI-based strategy and implementation work.
This role will manage solution delivery through a variety of activities including upfront strategy, use case selection, process design, business case development, solution build, solution testing, and post-go live support, such as performance monitoring and adoption. The role requires deep analytical, technical, and complex problem-solving skills with knowledge of optimization methods, statistical analysis, and advanced mathematical modeling techniques. It also requires an understanding of supply chain processes, system integration, change management, and user experience methodology.
Required Qualifications / Experience
7+ years of Supply Chain & Manufacturing experience.
5+ years of Experience with end-to-end AI/ML solutions (https://e.g., model design, data ingestion and transformation, algorithm selection, user interface).
5+ years of experience the following:
Artificial Intelligence & Machine Learning
Solution Design and Architecture
Experience Leading AI & Machine Learning solutions.
5+ years of experience dealing with data at scale.
Experience using analytics and metrics to assess supply chain performance and identify and quantify improvement opportunities.
Experience in Agile methodology to deliver large scale enterprise solutions.
Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred Qualifications / Experience
Bachelor's Degree in Operations Research, Industrial Engineering, Engineering Management, Business Analytics, Computer Science, Finance, Business, or related fields with a concentration in operations or analytics.
Advanced Degree in Operations Research, Industrial Engineering, Engineering Management, Business Analytics, Computer Science, Finance, Business, or related fields with a concentration in operations or analytics.
Prior Consulting experience
Experience presenting on complex topics in a clear, concise, and effective manner.
Strong analytical skills, data mining knowledge, and proficiency in handling and processing large volumes of data.
Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks.
Ability to communicate mathematical, technical, or software usage concepts to audiences with limited background / knowledge on the subject.
Ability to drive and work in cross-functional teams, distributed across locations and time zones and across multiple hierarchy levels.
Experience leading a project team in a project client environment.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the range is $131,000 to $268,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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