40 Client Delivery Jobs - Page 2

Grade: E1 The Opportunity Capgemini is seeking a director level executive to driving business impact and securing the strategic goals and objectives for key clients of Capgemini Business Services. Our Ideal Candidate Key accountabilities and responsibilities include: Service Delivery management P&L accountability Manage People and performance Client satisfaction Client relationship (at a Delivery level) Account business planning and strategy (E2 and above) Financial performance (Contribution Margin) Transformation & Industrialised Innovation Supporting Growth Contract Compliance Acts as a single point of contact for the client organization in troubleshooting and resolving all issues arising from delivery-related account activities. Understands what it takes to manage a business and uses the insights to better understand a clients need and position the right CG offerings in conjunction with the Practice to bring value to the client. Ensure implementation of best practices in the areas of People, Process, Technology, and Controls in conjunction with the Practice Teams (Process and Technology). Working closely with the Practice to deliver all Transformation & Innovation projects as agreed Working closely with the Practice & Practice Delivery team to arrive at new opportunities for better efficiency to the client using Capgemini’s ESOAR (Eliminate, Standardize, Optimize, Automate, Robotize) methodology underpinned by ‘5 Senses of Intelligent Automation. Working closely with the Practice and Practice delivery teams to implement relevant Technology platforms as well drive RPA Adoption across the processes Manages contractual re-negotiations to protect business interests while at the same time maintaining customer satisfaction. Manage the talent pipeline within the team in conjunction with the Practice to ensure organization resilience on a short, medium, and long-term basis Support Account Development Essential Skills and Experience: 14–16 years of proven experience in HR Services and Outsourcing in a global complex/matrix environment. Should have led large client delivery/portfolio delivery in the HR Service space 100-500 FTEs (E1) Strong People/Performance management experience Good experience in delivering Transformation projects for clients including Automation using Industry Tools and Robotic Process Automation (RPA) Focused on customer value and improvement of overall customer experience (C-SAT, internal quality processes). Leadership skills in a multicultural environment, cultural sensitivity, and ability to work internationally. Proven experience in a global complex BPO environment. Ability to influence senior business stakeholders at the client end. Strong relationship building, communication, and influencing skills. Ability to bring innovation to challenges and overcome problems and obstacles as they arise and act and produce desired outcomes with limited direction. Strong relationship building, communication, and influencing skills. Leading single large account/multiple accounts in a matrix reporting relationship Prior experience in a Multinational Organisation or BPO work culture.

Grade: E1 The Opportunity Capgemini is seeking a director level executive to driving business impact and securing the strategic goals and objectives for key clients of Capgemini Business Services. Our Ideal Candidate Key accountabilities and responsibilities include: 15- 20 Years of relevant industry/domain experience. Strong understanding of business process in an outsourcing context. Knowledge of majority of the following processes is mandatory namely Finance Accounting, HR services, Supply Chain and Customer operations Be the key face to the client from an end-to-end delivery perspective Ability to work with the Offshore and nearshore teams in a collaborative manner to ensure the client objectives are met. Strong Delivery management work towards creating a no surprise delivery environment Drive the Transformation mindset at the client end Create and drive a clear Transformation agenda and roadmap for every client managed Explore market, learn from industry and client to bring in the best of the breed technology Think out of the box and think about the future path for delivery Work closely with client team to drive active growth within portfolio Represent delivery in client pursuits and display a very strong delivery leadership Develop more leaders who can succeed, win and bring sustainable growth Drive a merit-based performance culture where performance is immediately rewarded, and non-performance is immediately fixed Financial performance Drive margin improvement through organic improvements (Technology like RPA and machine learning tools as prime focus to drive margins) Develop leaders who will be tech savvy and be able to drive innovation to client and drive competitiveness Client satisfaction establish a framework for client satisfaction – keep client in the heart of all we do – know client problems immediately and delivery sustainable improvements – Proactive Account renewal strategy to be framed for every client and actively worked through along with client team and market units Understanding of contracts, commercial elements, risks and executing to contract and driving change management to contract as appropriate. Person needs strong understanding of various pricing models prevalent in market today viz., outome based, transaction, production resource, hybrid etc.,Live the Core Values of Capgemini (Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, Fun) Person Specification: Essential Skills and Experience - 15 - 20 yrs. of proven experience in BPO / shared serviced / business process Should have led large client delivery/portfolio delivery Should have personally led large transformation programs for client that includes process and technology refresh (RPA / Machine Learning tools like chat bots, NLP) Leadership skills in a multicultural environment managing Global/Regional Delivery Proven experience in a global complex BPO environment and multi service line deals Ability to influence at senior business levels within the organization which includes functions outside the core delivery Strong relationship building, communication, and influencing skills Ability to bring innovation to challenges and to overcome problems and obstacles as they arise as well as act and produce desired outcomes with limited direction Strong commercial awareness and project management ability Experience in change management Desirable Skills and Experience - Experience with solution design/transition management/ Six Sigma Measures Of Success: Exceeding margin goals for the portfolio - through sustainable technology interventions and productivity improvements Delivery led Sales and sequential account growth Customer satisfaction and in the process make every client in the portfolio a referenceable client Keeping the key talent in organisation ( Lower attrition rate on Key talent) Keeping overall attrition of teams lower – Anticipate turnover to proactively mitigate delivery issues Develop a robust control framework to proactively identify and address issues Bring new technology to table that can make a significant difference Develop Leadership – create more future leaders that can funnel growth.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Position - Associate Director - Delivery Partner (CPG) Experience - 11 to 15 years Location - Chennai/Bangalore/Hyderabad Notice period - Immediate to 30 days Skills Required - Strong CPG domain experience ( at least 4 years into CPG), Pricing Promotion experience , Trade promotions, Strategic Revenue Management, Strategic Client handling exp Team size - Should have handled at least 20+ folks Strong Solutioning expertise is required Role & responsibilities As Delivery Partner Analytics Consulting , you will work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to a set of clientele. In doing so, you will closely collaborate with program leads, technology architects and data scientists across global locations . You will guide the project teams to deliver impactful solutions, drive adoption, and articulate value. On a typical work day, you could be doing one or more of the following: Collaborate with internal & key client stakeholders to define advanced analytics roadmaps Identify a pipeline of programs, prioritized based on business value vs complexity Drive analytics solution design & delivery, collaborating with teams of consultants, data scientists and architects. Guide / mentor program leads on applying best practices in delivery through regular reviews Work towards accelerating time-to-value on client programs, while balancing team health Measure and articulate value of solutions to help drive adoption by business teams Drive internal and client governance forums for zero surprises on program health and to articulate value Collaborate with in-market Client Partners to expand Analytics share of client spend in meaningful ways Contribute to organization building through training and mentoring, and by developing assets / best practices . Preferred candidate profile 15+ yrs experience in delivering advanced analytics solutions or services to clients, which includes a good amount of time as a hands-on practitioner. Hands-on experience with (or significant exposure to) commonly used advanced analytic tools & techniques. Demonstrated ability to white-board and transform ideas from high level business problem statements to a sufficiently detailed outline of the solution Ability to guide teams on developing analytics solution blueprints to client problems which balance business context and technical details Ability to analyze pros-and-cons of different analytic options in the context of multitude of business problems, and articulate such choices to technical and business audiences. Ability to build compelling stories from data / model outputs to convey insights to business stakeholders, and drive acceptance & adoption of recommended actions. Confident in communicating with Director / VP level stakeholders, and demonstrate executive presence in interactions with CXO level stakeholders. Ability to drive programs with robust governance mechanisms to ensure programs are reasonably scoped (upfront + evolving), time & effort, cost & value.

Management Level :eg:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:SAP (MDG/PS/MM/PPM) Implementation Experience: Minimum 12 year(s) of experience is required Educational Qualification: B.Tech/BE Roles & Responsibilities: Oversee the planning, execution, and completion of SAP projects (PPM/PS/MDG/MM), ensuring they are delivered on time, within scope, and within budget Collaborate with stakeholders to gather and analyze business requirements, translating them into functional specifications for SAP solutions Perform configuration on demo or development environments to meet the functional specifications and business needs Define the integration landscape of SAP PPM with other SAP and non-SAP systems as per clients processes and requirements Conduct unit testing, integration testing, and user acceptance testing (UAT) to ensure the solution meets business requirements and is free of defects Coordinate with technical team to oversee the custom enhancements and reports using ABAP programming and other relevant technologies Provide training to end-users and support teams, creating user manuals and documentation to facilitate smooth adoption and ongoing support Ensure that the SAP implementation follows the industry best practices and templates Guide and coach team members on SAP modules Preferred Experience Proven experience in at least one of the following SAP modules with a strong understanding of their integration and functionality within SAP S/4 HANA landscape - Materials Management (MM) Master Data Governance (MDG - Functional) Project Portfolio Management (PPM) Project System (PS) Demonstrated expertise in either of the above modules, including blueprinting, configuration , customization , and implementation to meet business requirements. The candidate should have at least 2 end to end SAP implementation experience. Proven track record in delivering end-to-end SAP MM/MDG/PPM/PS solutions for complex projects, including digital transformations, procurement , project planning , budgeting , resource management , and data governance . Experience of leading client delivery is mandatory. Experience in defining the functional and technical integration design of SAP MM/MDG/PPM/PS with other modules like SAP Finance (FI) , SAP Controlling (CO) , and SAP Sales and Distribution (SD) or other non-SAP systems for seamless data flow and process consistency. Familiarity with overall SAP S/4HANA and the latest functionalities in SAP MM/MDG/PPM/PS , including agile project management , master data optimization , and predictive analytics . Qualifications Your experience counts Exceptionally organized Detail oriented Good judgement in how to engage with senior stakeholders regarding approvals/ follow ups Strong communication and leadership skills Proactive and able to work independently Sensitivity and skill at working with different cultures and styles A highly motivated self-starter Engineering background with MBA preferred

Job Title - SAP MM/PS/MDG/PPM + Manager + S&C GN Industry X Smart Connected Products Management Level :eg:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:SAP (MDG/PS/MM/PPM) Implementation Experience: Minimum 12 year(s) of experience is required Educational Qualification: B.Tech/BE Roles & Responsibilities: Oversee the planning, execution, and completion of SAP projects (PPM/PS/MDG/MM), ensuring they are delivered on time, within scope, and within budget Collaborate with stakeholders to gather and analyze business requirements, translating them into functional specifications for SAP solutions Perform configuration on demo or development environments to meet the functional specifications and business needs Define the integration landscape of SAP PPM with other SAP and non-SAP systems as per client's processes and requirements Conduct unit testing, integration testing, and user acceptance testing (UAT) to ensure the solution meets business requirements and is free of defects Coordinate with technical team to oversee the custom enhancements and reports using ABAP programming and other relevant technologies Provide training to end-users and support teams, creating user manuals and documentation to facilitate smooth adoption and ongoing support Ensure that the SAP implementation follows the industry best practices and templates Guide and coach team members on SAP modules Preferred Experience Proven experience in at least one of the following SAP modules with a strong understanding of their integration and functionality within SAP S/4 HANA landscape - Materials Management (MM) Master Data Governance (MDG - Functional) Project Portfolio Management (PPM) Project System (PS) Demonstrated expertise in either of the above modules, including blueprinting, configuration , customization , and implementation to meet business requirements. The candidate should have at least 2 end to end SAP implementation experience. Proven track record in delivering end-to-end SAP MM/MDG/PPM/PS solutions for complex projects, including digital transformations, procurement , project planning , budgeting , resource management , and data governance . Experience of leading client delivery is mandatory. Experience in defining the functional and technical integration design of SAP MM/MDG/PPM/PS with other modules like SAP Finance (FI) , SAP Controlling (CO) , and SAP Sales and Distribution (SD) or other non-SAP systems for seamless data flow and process consistency. Familiarity with overall SAP S/4HANA and the latest functionalities in SAP MM/MDG/PPM/PS , including agile project management , master data optimization , and predictive analytics . Your experience counts Exceptionally organized Detail oriented Good judgement in how to engage with senior stakeholders regarding approvals/ follow ups Strong communication and leadership skills Proactive and able to work independently Sensitivity and skill at working with different cultures and styles A highly motivated self-starter Engineering background with MBA preferred Qualifications Experience: Minimum 12 year(s) of experience is required Educational Qualification: B.Tech/BE

SAP S4 HANA Platforms Industrial Find endless opportunities to solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Industrial, Industry Consulting, Capability Network I Areas of Work: Intelligent Functions | Level: Manager/Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore, Hyderabad, Pune, Chennai | Years of Exp: 7-15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. The Practice A Brief Sketch CN Industrial Practice has deep expertise in delivering Digital Transformations, Sales & Operations Planning, Industrial Equipment Dealer Management, Service Process Excellence, Process Automation & Digitization, Air Freight Logistics Software Enablement, Logistics Operations Optimization, Zero Based Spend & Spend analysis, Peer Benchmarking, Value Architecture, Process Improvement, IoT and Industry Analytics Let's infuse fresh thinking in the systems and turn new ideas into reality. As a part of the team, you'll help drive the following: Be a part of the Intelligent Functions team , one of the key capabilities or sub-industry areas to support Platforms-driven business design and assessment such as value assessment, business case creation, business process re-engineering and so on. Provide solutions for complex client problems across the SAP S4 HANA ERP landscape throughout the project lifecycle, providing subject matter expertise with a strong strategic awareness of the SAP market and associated technologies. Work as a lead SAP Functional Solution Architect and support with solutions for end-to-end request for proposal requests. Engage with clients in understanding their requirements, scoping, discovering and defining solutions , explaining business benefits and use cases and developing a roadmap to meet their goals. Create innovative solution designs that utilize our extensive service offerings. Support our business development activities , working with our sales teams in proposal generation, shaping the solution plan and delivery approach for SAP transformations. Be responsible for integration with different ERP Solutions including SAP and create proof of concepts as and when required. Bring your best skills forward to excel in the role: Problem-solving skills to identify, escalate, track and resolve issues in time Strong project management skills and ability to run projects on his own Effective presentation and public speaking skills Ability to work in a rapidly changing environment where continuous innovation is desired Ability to effectively team with others in a large, global organization Analytical skills to bring clarity to complex issues and gather data-driven insights Excellent communication and interpersonal skills Cross cultural competence with an ability to thrive in a dynamic environment Manage and work with key stakeholders onshore and onsite Read more about us. Your experience counts! MBA from Tier 1 and 2 business school 7-15 years of SAP S4 HANA MM/SD/PP/QM/eWM/IBP experience working on SAP delivery engagements Prior experience of working on 4-5 large scale transformation and implementation delivery programs for global clients Must have worked as an end-to-end SAP Solution / Functional Architect for at least 4-5 Request for Proposal (RFP) requests Experience in industrial verticals is highly desirable Proven success in client-facing roles for 5-6 engagements What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from Tier 1 and 2 business school 7-15 years of SAP S4 HANA MM/SD/PP/QM/eWM/IBP experience working on SAP delivery engagements Prior experience of working on 4-5 large scale transformation and implementation delivery programs for global clients Must have worked as an end-to-end SAP Solution / Functional Architect for at least 4-5 Request for Proposal (RFP) requests Experience in industrial verticals is highly desirable Proven success in client-facing roles for 5-6 engagements

About The Role : Analysts and Consultants - Railway Industry (Passenger/ Freight) Industrial Join our team in Strategy & Consulting to find endless opportunities and solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Transportation and Logistics, Industrial Consulting, S&C Global Network (GN) | Areas of Work: Railway logistics and management | Level: Analysts and Consultants | Location: Delhi, Gurgaon, Mumbai, Bangalore, Pune, Hyderabad | Years of Exp: 1-7 years Explore an Exciting Career at Accenture Are you a problem solver driven by impactful results? Do you enjoy working on transformation strategies for global clients? Does a collaborative and inclusive workplace energize you? Then, Accenture Strategy & Consulting is where your potential can reach new heights. The Practice A Brief Sketch Transportation and Logistics team within S&C GN Industrial Practice brings extensive expertise in driving operational efficiency and digital transformation across our clients. we specialize in digital transformations, end-to-end supply chain optimization, freight and fleet management, route planning and optimization, last-mile delivery solutions, transportation management systems (TMS) implementation, warehouse and inventory management, process automation and digitization, sustainability initiatives, cold chain logistics, advanced analytics and data-driven insights, IoT and asset tracking solutions, and industry benchmarking and best practices. Our approach leverages advanced technology to optimize transportation and logistics operations, reduce costs, and enhance customer satisfaction, positioning our clients at the forefront of the logistics and transportation industry. Globally, Accenture helps our clients develop strategies for value growth, improve their operational and go-to-market performance, and optimize organizational efficiency. We work on a range of projects, from long-term transformational system integration to short-term agile engagements, supporting our clients with: Railway Operations: Deep knowledge in railway logistics management, covering areas such as scheduling, operations management, and maintenance. Solution Design and Delivery: Lead the delivery of consulting engagements, advising on railway management strategies, project execution, and operational improvements. Innovation and Digital Enablement: Implementing digital solutions that streamline rail operations and introduce modern technologies like predictive maintenance, IoT sensors, and AI-driven scheduling. Data-Driven Analysis: Analyze operational data to provide actionable insights, optimize processes, and present compelling data visualizations to stakeholders. Transformation Leadership: Manage change initiatives, engaging stakeholders in the journey, building alignment with business strategy, and executing transformation roadmaps for railway logistics. Bring your best skills forward to excel in the role Skills in one or more of the following areas: Railway Logistics Expertise: Strong understanding of railway operations, logistics management, and supply chain practices specific to railway systems. Digital Transformation in Rail: Experience in digital solutions like IoT for rail, predictive maintenance, asset tracking and automation, 5G rail connectivity, Gen AI, digital twin, TMS Transport management system (TMS) like European Train Control System (ETCS). Data management: Ability to manage data, cloud, operations, cybersecurity, software deployment and testing along with Master Data Management (MDM) & Finance capabilities for railways in particular Rail Network Operations: Experience capacity management, network design, smart routing and scheduling, station management, yard automation and management for network optimization in rail systems Smart Rail Infrastructure: Background in smart and autonomous train systems, remote systems activation, connected stations Service management: Experience in ticketing, booking, dynamic pricing, rate-card management, service point management, safety management, passenger experience improvement. Other required skills Strategic Project Management: Ability to manage project scope, budget, and delivery, focusing on operational efficiency and cost control. Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to senior client leadership and lead conversations Team management skills with an ability to engage effectively with multiple stakeholders Program management skill with an ability to coordinate cross-functional teams, manage project timelines, and drive successful delivery within scope and budget Cross-cultural competence with an ability to thrive in a dynamic environment Your experience counts! MBA from a Tier 1 or Tier 2 school, or extensive industry experience in railway logistics and consulting. 1-7 years of progressive experience in railway management and/or logistics, with consulting exposure. Knowledge of railway industry along with skills mentioned above Certifications in Project Management (e.g., PMP, Prince2) and Agile methodologies are an advantage. Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Familiarity with Agile practices such as Scrum, Kanban, and tools like JIRA, Confluence, and MS Projects to manage complex rail-related projects. Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Experience of team Management Coach and mentor team members in projects, on asset development, business development and overall professional development What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our S&C Global Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a Tier 1 or Tier 2 school, or extensive industry experience in railway logistics and consulting. 1-7 years of progressive experience in railway management and/or logistics, with consulting exposure. Knowledge of railway industry along with skills mentioned above Certifications in Project Management (e.g., PMP, Prince2) and Agile methodologies are an advantage. Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Familiarity with Agile practices such as Scrum, Kanban, and tools like JIRA, Confluence, and MS Projects to manage complex rail-related projects. Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Experience of team Management Coach and mentor team members in projects, on asset development, business development and overall professional development

Job Title - SAP MM/PS/MDG/PPM + Manager + S&C GN Industry X Smart Connected Products Management Level :eg:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:SAP (MDG/PS/MM/PPM) Implementation Experience: Minimum 12 year(s) of experience is required Educational Qualification: B.Tech/BE Roles & Responsibilities: Oversee the planning, execution, and completion of SAP projects (PPM/PS/MDG/MM), ensuring they are delivered on time, within scope, and within budget Collaborate with stakeholders to gather and analyze business requirements, translating them into functional specifications for SAP solutions Perform configuration on demo or development environments to meet the functional specifications and business needs Define the integration landscape of SAP PPM with other SAP and non-SAP systems as per client's processes and requirements Conduct unit testing, integration testing, and user acceptance testing (UAT) to ensure the solution meets business requirements and is free of defects Coordinate with technical team to oversee the custom enhancements and reports using ABAP programming and other relevant technologies Provide training to end-users and support teams, creating user manuals and documentation to facilitate smooth adoption and ongoing support Ensure that the SAP implementation follows the industry best practices and templates Guide and coach team members on SAP modules Preferred Experience Proven experience in at least one of the following SAP modules with a strong understanding of their integration and functionality within SAP S/4 HANA landscape - Materials Management (MM) Master Data Governance (MDG - Functional) Project Portfolio Management (PPM) Project System (PS) Demonstrated expertise in either of the above modules, including blueprinting, configuration , customization , and implementation to meet business requirements. The candidate should have at least 2 end to end SAP implementation experience. Proven track record in delivering end-to-end SAP MM/MDG/PPM/PS solutions for complex projects, including digital transformations, procurement , project planning , budgeting , resource management , and data governance . Experience of leading client delivery is mandatory. Experience in defining the functional and technical integration design of SAP MM/MDG/PPM/PS with other modules like SAP Finance (FI) , SAP Controlling (CO) , and SAP Sales and Distribution (SD) or other non-SAP systems for seamless data flow and process consistency. Familiarity with overall SAP S/4HANA and the latest functionalities in SAP MM/MDG/PPM/PS , including agile project management , master data optimization , and predictive analytics . Your experience counts Exceptionally organized Detail oriented Good judgement in how to engage with senior stakeholders regarding approvals/ follow ups Strong communication and leadership skills Proactive and able to work independently Sensitivity and skill at working with different cultures and styles A highly motivated self-starter Engineering background with MBA preferred Qualifications Experience: Minimum 12 year(s) of experience is required Educational Qualification: B.Tech/BE