I&P GN - SC&E – Senior Manager - Enterprise AI Value Strategy-EVS

Accenture PLC; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Accenture is seeking a Senior Manager in the Supply Chain analytics domain to lead innovative data science initiatives across demand planning, supply planning, and network design. You will guide large multi-workstream projects, mentor teams, and present complex findings to senior stakeholders.

The role emphasizes building new analytics offerings, acting as a solution architect, and driving client value through analytics delivery and business development.

Qualifications

• Ph.D. or Master's in quantitative discipline.
• 11+ years data science experience post-Masters or 8+ post-PhD; 7+ years in analytics design/delivery.
• Certifications in Python, AI/ML, Generative AI, or cloud AI platforms.
• Experience leading teams across multiple workstreams; strong stakeholder presentation.

Responsibilities

• Create innovative analytics offerings and lead workstreams in area of expertise.
• Act as solution architect and delivery lead for analytics projects.
• Support business development and engage client leaders to understand challenges.

Skills

Data science in supply chain

Leadership of large project teams

Communication to senior stakeholders

Quantitative reasoning

Education

Master's degree in Statistics / Economics / OR / CS

Ph.D. in quantitative discipline

Tools

Python

PySpark

SQL

Azure/GCP/AWS

Data visualization platforms

Job description

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

Experience and Education

• 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).

Mandatory Skills

• 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)

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