5 Analytics Architecture Jobs

As an experienced Data Architect with a focus on advanced analytics and Generative AI solutions, your role will involve architecting and delivering cutting-edge analytics and visualization solutions utilizing Databricks, Generative AI frameworks, and modern BI tools. You will be responsible for designing and implementing Generative AI solutions, integrating frameworks like Microsoft Copilot, and developing reference architectures for leveraging Databricks Agent capabilities. In this position, you will lead pre-sales engagements, conduct technical discovery sessions, and provide solution demos. You will collaborate with various stakeholders to align analytics solutions with business objectives and promote best practices for AI/BI Genie and Generative AI-driven visualization platforms. Additionally, you will guide the deployment of modern data architectures that integrate AI-driven decision support with popular BI tools such as Power BI, Tableau, or ThoughtSpot. Your role will also involve serving as a trusted advisor to clients, helping them transform their analytics and visualization strategies with Generative AI innovation. You will mentor and lead teams of consultants, ensuring high-quality solution delivery, reusable assets, and continuous skill development. Staying current on Databricks platform evolution, GenAI frameworks, and next-generation BI trends will be crucial for proactively advising clients on emerging innovations. To be successful in this role, you should have at least 8 years of experience in data analytics, data engineering, or BI architecture roles, with a minimum of 3 years of experience delivering advanced analytics and Generative AI solutions. Hands-on expertise with the Databricks platform, familiarity with Generative AI frameworks, and strong skills in visualization platforms are essential. Pre-sales experience, consulting skills, and knowledge of data governance and responsible AI principles are also required. Preferred qualifications include Databricks certifications, certifications in major cloud platforms, experience with GenAI prompt engineering, exposure to knowledge graphs and semantic search frameworks, industry experience in financial services, healthcare, or manufacturing, and familiarity with MLOps and end-to-end AI/ML pipelines. Your primary skills should include Data Architecture, with additional expertise in Power BI, AI/ML Architecture, Analytics Architecture, and BI & Visualization Development. Joining Infogain, a human-centered digital platform and software engineering company, will provide you with opportunities to work on cutting-edge projects for Fortune 500 companies and digital natives across various industries, utilizing technologies such as cloud, microservices, automation, IoT, and artificial intelligence.,

As an experienced professional with 12-14 years of experience, your primary role will involve developing a detailed project plan encompassing tasks, timelines, milestones, and dependencies. You will be responsible for solutions architecture design and implementation, understanding the source, and outlining the ADF structure. Your expertise will be crucial in designing and scheduling packages using ADF. Facilitating collaboration and communication within the team is essential to ensure a smooth workflow. You will also be focusing on application performance optimization and monitoring resource allocation to ensure tasks are adequately staffed. It will be part of your responsibility to create detailed technical specifications, business requirements, and unit test report documents. Your role will require you to ensure that the project complies with best practices, coding standards, and technical requirements. Collaboration with technical leads to address technical issues and mitigate risks will be a key aspect of your job. Your primary skill set should revolve around Data Architecture, with additional expertise in Data Modeling, ETL, Azure Log Analytics, Analytics Architecture, BI & Visualization Architecture, Data Engineering, Costing Management, databricks, Datadog, Apache Spark, Azure Datalake, and Azure Data Factory. Your proficiency in these areas will be instrumental in successfully executing your responsibilities.,

Key responsibilities: Envisioning and planning, monitoring project progress and team members' contributions and conducting project meetings, Identifying appropriate templates or approaches for the deliverables and projects, Contributing to analytics deliverables (reports, dashboards, data marts, data warehouse, marketing, or training documentation (such as technical specifications, use cases, user guides, technical presentations, communication for decision makers etc.), Validating deliverables against requirements, Conducting software testing, Holds responsibility of one to three (four stretch) projects simultaneously. Contributes to pre-sales by high level requirement understanding, approach design, estimations and building proposals. Preferred candidate profile Has experience of successfully managing and contributing to a fair number of software development projects (preferably leading a team or a part of it). Has in-depth knowledge of database design, SSIS, SSAS, reporting tools. Fair knowledge of cloud services like SQL Azure, Dataverse, SQL Datawarehouse Has capability to gather solution requirements, build detailed specifications (functional and/or technical) and work with the customers/users. BE/BTech/MCA or equivalent formal education/ training with above average scores. Interest and broad understanding in several advanced topics like data modelling, analytics architecture and relevant business contexts (functional processes, sales, marketing etc.) and technology trends (competing products and their strengths, new versions and their advantages etc.)

Has in-depth technical knowledge of the Data and Analytics architecture and lifecycle. Engage customers and able to drive solutions in the Data, Analytics & Intelligence technologies. Having a deeper understanding of one of the domains Financial services, Healthcare, Lifesciences, Retail, Consumer goods, would be a definite advantage. Responsible for driving the target achievement for a region/ business unit. Typical Responsibilities: Financial targets for a region/ business unit, from solutioning/ Presales context Understanding of RFI/ RFP floated by customer. Interactions with customers for clarifications, if any. Preparing winning responses that comprises of technical solution, estimations, engagement models and commercials. Defend the response by participating in proposal presentations. Business consultancy: requirements definition, approach paper, technical proposals, identifying prospects. Typical Experience : Minimum 11 + years. Knowledge of defined technology, experience of working in the technology, and flair for consulting

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. We invite applications for the role of Principal Consultant - Data Science Architect Job Description: We are seeking a highly experienced and visionary Data Science Architect to lead the design and implementation of scalable data science solutions across our organization. This role requires a strategic thinker with deep technical expertise in machine learning, data engineering, and analytics architecture. You will collaborate with cross-functional teams to drive innovation, optimize data workflows, and ensure the successful deployment of advanced analytics and AI solutions. Key Responsibilities: . Architect and implement end-to-end data science solutions, from data ingestion to model deployment and monitoring. . Collaborate with engineering, product, and business teams to define AI/ML strategies aligned with business goals. . Lead the selection and integration of data science tools, platforms, and frameworks. . Collaborate with data engineers, analysts, and business stakeholders to translate business problems into analytical solutions. . Define best practices for model governance, versioning, reproducibility, and scalability. . Mentor and guide data scientists and engineers on technical and architectural decisions. . Ensure data quality, security, and compliance across all data science initiatives. . Evaluate emerging technologies and trends in AI/ML to keep the organization at the forefront of innovation. Qualifications we seek in you! Minimum Qualifications . Bachelor%27s or Master&rsquos degree in Computer Science, Data Science, Statistics, or a related field (Ph.D. preferred). . experience in data science, with at least 2 years in an architect or lead role . Proven experience designing and deploying machine learning models in production environments. . Strong programming skills in Python, R, or Scala and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). . Expertise with with GenAI, LLMs, or advanced NLP techniques. Experience in building GenAI or LLM-based applications. . Familiarity with big data technologies (e.g., Spark, Kafka, Delta Lake) and modern data stack components . Experience in product engineering . Certifications in cloud architecture or data science. . Good understanding of cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, etc.). . Excellent communication skills and the ability to influence technical and non-technical stakeholders. Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.