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Capgemini
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Analytics Solution Leader

Analytics Solution Leader

Capgemini

18 - 23 years

14 - 18 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

continuous integration ci/cd microservices containerization team leadership kubernetes rpa supply chain microsoft azure business intelligence sql docker stakeholder management etl tool devops stakeholder engagement uipath aws finance

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
We are seeking a highly experienced Analytics Solution Leader at E1 level responsible for architecting and delivering enterprise-scale analytics solutions that empower data-driven decision-making. This role involves interpreting complex data sets, analyzing trends, and collaborating with cross-functional teams to enhance business performance and strategy through advanced analytics. Primary Skills
18+ years of experience in leading and solutioning analytical methods & control methodologies for Finance, banking and supply chain processes. Proven experience in solutioning analytics solutions at scale, preferably in a big project/scale. Knowledge of Gen AI frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices. Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies. Excellent communication, stakeholder engagement, and team leadership skill. Exposure to industry-specific Gen AI use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,) Minimum 8 years of extensive experience in SQL, ETL tools, Business intelligence and visualization tools like power BI, Tableau etc., Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions. Proven experience in leading large-scale AI solution deployments and managing cross-functional teams. Secondary Skills
Lead efforts to extract actionable insights from structured and unstructured data to support strategic decisions. Translate business objectives into scalable analytics solutions that drive measurable impact. Design and implement robust data architectures using modern cloud-native and hybrid platforms. Collaborate with business stakeholders to understand data and support Data scientists, Data Engineers, Data analysts, Solution architects and Gen AI team in building AI solutions. Wide experience in conducting statistical analysis such as logistic and linear regression, cluster analysis, PCA, Factor analysis, time series analysis, segmentation model etc., Lead development of strong partnerships within business and CoE to provide leadership best practices and insights for how analytics can drive more meaningful decisions. Analyze & summarize historical data, derive and effectively present insights, make difficult decisions, and solve complex problems. Partner with business, IT, and data science teams to align analytics initiatives with enterprise goals. Develop reusable analytics components, accelerators, and frameworks to improve delivery efficiency. Guide and mentor analytics engineers and data scientists to foster innovation and delivery excellence. Proven track record of building & developing revenue earning data analytics solutions/services used by customers/business in production. Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines.Required Skills & Qualifications: Proven experience in leading enterprise automation programs. Deep understanding of Agentic AI systems (e.g., autonomous agents, multi-agent frameworks). Experience with Generative AI (e.g., LLMs & prompt engineering). Expertise in RPA platforms (e.g., UiPath, Automation Anywhere etc). Excellent leadership, communication, and stakeholder management skills.Preferred Qualifications: Masters degree in Statistics, Mathematics, Computer Science Engineering, Operations Research, Data Science, or a related field. Ph.D. is a plus.

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Analytics Solution Leader