Job Title - S&C Global Network - AI – Procurement Supply Chain Analytics - Manager
Management Level: 07 - Manager
Location: Bangalore/ Gurgaon/Mumbai/Hyderabad/Kolkata/Chennai/Pune
Must have skills: Machine learning, deep learning, Gen AI, cloud-based solutions (Azure, GCP, AWS), Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau.
Good to have skills: Tableau/Power BI, Ariba, Coupa, Zycus, or Ivalua
Job Description CL 7 [Data Science Manager – Supply Chain & Operations Analytics (Sourcing and Procurement)]
Job Summary : The Manager – Sourcing and Procurement Analytics will be responsible for leading data-driven initiatives to optimize procurement and supply chain operations. This role requires a strong understanding of statistical methods, analytical techniques, and data science applications to drive meaningful insights. The manager will take a lead on client engagement on their projects, provide technical guidance, and lead a team of analysts to solve complex procurement and supply chain challenges using advanced analytics.
Roles and Responsibilities:
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An expert in sourcing and procurement operations domain and Data Science skills.
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Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics.
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Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
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Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc.
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Take initiatives and collaborate with different Accenture internal teams and support driving sales.
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Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.
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Utilize statistical models, machine learning, simulation and optimization techniques to enhance procurement and supply chain operations.
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Implement analytics to evaluate supplier performance, optimize procurement costs, and mitigate supply chain risks.
Team Leadership & Development:
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Mentor and guide a team of analysts and consultants in developing analytical solutions.
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Foster a culture of innovation and continuous learning within the team.
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Ensure knowledge sharing and best practices are followed across projects.
Technology and Process Optimization:
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Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions.
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Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis
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Collaborate with IT and procurement teams to improve data integration and system automation.
Experience and Education:
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A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred.
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Master’s degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science).
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Certifications in one or more areas will be an added advantage: Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS).
Technical & Professional Skills:
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Proven ability to drive analytics-driven procurement transformation projects.
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Deep understanding of advanced analytics solutions – descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models.
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Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics.
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Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau).
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Excellent written and verbal communication skills, with the ability to interact with senior stakeholders.
Additional Information:
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Proficiency in data visualization tools like Tableau/Power BI.
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Experience with procurement tools such as Ariba, Coupa, Zycus, or Ivalua.
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Prior experience in client-facing roles and managing large-scale procurement analytics initiatives.
About Our Company | Accenture
Experience: 7-9 years of experience
Educational Qualification: Master’s degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science)
