S&C Global Network - AI - Supply Chain Analytics – Sr. Manager

senior

OtherSupply Chain

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Requirements Summary

Deep experience in creating innovative solutions and delivering projects using data science in at least one of the supply chain functional areas: Demand Planning, Supply Planning, Network Design,

Technical Tools

OtherSupply Chain

Job Description

The ideal candidate for a Senior Manager in the Supply Chain team shall be,

A subject matter expert in application of data science methodologies in one or more areas of supply chain analytics: Demand Planning, Supply Planning, Network Design, Logistics, Procurement, Manufacturing, After Market, or Control Tower
Create new innovative offerings and lead workstreams in their area of expertise; demonstrate thought leadership which helps the growth of the Practice via new client work and more trained team members.
Support business development and communicate with leaders in client teams to understand business challenges, be the solution architect, design and get buy-in for the analytics solution and serve as delivery lead of one or more Manager-led teams during project execution

Job Qualifications

Deep experience in creating innovative solutions and delivering projects using data science in at least one of the supply chain functional areas: Demand Planning, Supply Planning, Network Design, Logistics, Procurement, Manufacturing, After Market, or Control Tower
Expertise in use of data science for supply chain planning and operations of any of the major industries: Consumer Goods, Retail, Life sciences, Industrial, and Resources
Expert in creating solutions using one or more data science areas like Generative AI, Agentic AI, Machine Learning, Deep Learning, Statistics, Operations Research
Experience in leading work delivered via large project teams across multiple workstreams
Strong skills in presentation of complex concepts and large-scale project work to senior stakeholders
Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (e.g., Python, PySpark, SQL)

Ideal candidates should have a Ph.D. or a Master’s degree in a quantitative discipline like Statistics/ Economics/ Operations Research/Computer Science, etc.
Work experience in data science applications should be 11+ years after Master’s degree or 8+ years after Ph.D., with at least 7 years in advanced analytics solutions design and delivery experience in supply chain/logistics/manufacturing/ production. Global client experience is a plus.
Certifications in any one or two of the areas will be an added advantage: Python, AI/ML, Generative AI, Agentic AI, Optimization, Simulation, data science application on any of the cloud platforms (Azure/ GCP/ AWS).

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.