New

Consultant - Data & Ai

Tata Consultancy Services
$160,700 - $220,000
United States, California, Santa Clara
Oct 29, 2026
Job Description Role: Consultant - Data & Artificial Intelligence Location: Santa Clara, CA Job Description We are seeking a Data and AI Consultant for a newly formed Data & Analytics unit serving high-technology customers on the US West Coast. This is a senior, customer-facing role that combines advisory and solutioning leadership with practical knowledge across Data Engineering, Data Management, conversational analytics, advanced analytics and AI. The consultant will shape account-level Data and AI agendas, identify opportunities, develop roadmaps and work with CoE and delivery teams to take solutions into production. Key Responsibilities * Data and AI advisory: Build trusted relationships with customer data, analytics, AI and platform leaders; assess business and technology priorities; and define practical transformation roadmaps. * Data Engineering and platform solutioning: Shape modern data architectures and engineering solutions covering ingestion, transformation, lakehouse / warehouse, streaming, integration and data serving. * Data Management: Advise on governance, metadata, cataloging, quality, lineage, Master Data Management, security and privacy to make enterprise data trusted and AI-ready. * Conversational analytics: Identify and solution natural-language analytics opportunities such as text-to-SQL, chat-based BI, semantic search, RAG-enabled insight assistants and conversational workspaces, with appropriate governance and access controls. * AI and GenAI solutioning: Lead discovery and design for ML, GenAI and agentic use cases; assess feasibility and value; define target architecture; and establish evaluation, monitoring and Responsible AI guardrails. * Customer workshops: Plan and facilitate Data and AI discovery sessions, current-state assessments, architecture workshops and use-case prioritization discussions, converting outcomes into a sequenced roadmap and qualified pipeline. * Proposals and presales: Own or contribute to RFP, RFI and proactive proposals, including solution approach, reference architecture, estimates, delivery model, staffing and pricing inputs; present and defend recommendations to business and technical stakeholders. * Offerings and assets: Convert recurring customer needs into reusable accelerators, PoVs, demos, reference architectures and playbooks with Data and AI CoEs and alliance partners. * Delivery governance: Guide programs from assessment and PoC through pilot and production; review key architecture and engineering deliverables; and ensure quality, security, observability, cost control and business outcomes. * Capability building: Define skill priorities across Data Engineering, Data Management, analytics and AI; mentor consultants, architects and engineers; and maintain a current market and technology point of view. Qualifications Experience: Demonstrated senior-level experience in Data and AI consulting, solution architecture, and customer-facing technology leadership. Education: Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent relevant professional experience; Master's or PhD desirable. Must-Have Technical / Functional Skills Data, AI and conversational analytics - core of the role * Strong consulting and solution architecture experience spanning modern data platforms, Data Engineering, Data Management, analytics, Generative AI and conversational analytics. * Working knowledge of Data Engineering using Python, SQL, Spark / PySpark, ETL / ELT, data pipelines, batch and streaming patterns, APIs, Kafka and cloud-native orchestration services. Page 1 Data and AI Consultant \| Publication-ready JD * Working knowledge of Data Management, including data architecture, lakehouse and medallion patterns, Data Mesh, Master Data Management, metadata, cataloging, data quality, lineage, security, privacy and governance. * Hands-on understanding of conversational analytics and natural-language access to enterprise data, including text-to-SQL, semantic layers, RAG, enterprise search, chat-based BI, insight generation and responsible access controls. * Deep understanding of GenAI engineering: RAG over enterprise data, prompt and context engineering, embeddings and vector stores such as Pinecone, Weaviate or Milvus, model selection and LLM fine-tuning using LoRA / QLoRA. * Practical experience with agentic AI patterns including planning, tool use, function calling, memory and multi-agent orchestration using LangChain, LangGraph, Semantic Kernel or equivalent. * Knowledge of classical ML and data science using Python, PyTorch / TensorFlow and scikit-learn, including feature engineering, model evaluation and interpretability. * Production awareness across DataOps, MLOps and LLMOps: CI/CD, testing, observability, model and data monitoring, drift, cost management, Docker and Kubernetes. Cloud data and AI platform foundation * Strong expertise in at least one cloud data and AI stack, with familiarity in a second: Google Cloud (BigQuery, Dataflow, Dataproc, Dataplex, Vertex AI), Azure (Data Factory, Databricks, Fabric, Purview, Azure ML, Azure OpenAI) or AWS (Glue, EMR, Redshift, SageMaker, Bedrock). * Experience with Databricks and/or Snowflake, including lakehouse or warehouse architecture, data engineering, governance and AI capabilities such as Mosaic AI or Cortex. * Ability to design an AI-ready data estate with scalable ingestion, transformation, semantic and serving layers, backed by data quality, lineage, governance and observability. Consulting, CoE leadership and solutioning * Proven experience leading or building a Data and AI practice, CoE or capability pod, defining offerings and assets, setting architecture standards, and mentoring data, analytics and AI teams. * Strong customer-facing track record in discovery and design workshops, use-case prioritization, current-state assessment, roadmap creation and executive presentations. * Ownership of RFP / RFI and proactive Data and AI proposals covering solution approach, target architecture, estimation, delivery model, commercials inputs and orals. * Experience leading initiatives from assessment and PoC through pilot and production with distributed onsite-offshore teams. Domain context * Experience with high-technology customers including hyperscalers, software and platform companies, semiconductor organizations and consumer-electronics enterprises. Generic Managerial Skills * Ability to lead a technical capability without formal line authority - setti ng direction, standards and priorities across pods and accounts. * Strong consultative and communication skills - credible with principal AI engineers and confident presenting to executive stakeholders; willing and able to travel regularly to customer locations across the US West Coast. * Experience coordinating across geographies and time zones with offshore delivery and CoE teams; mentoring and growing technical talent. * Comfortable in an early-stage unit - self-directed, pragmatic and able to build structure where none yet exists Salary Range: $160,700 - $220,000 #LI-AD1 Location Santa Clara, CA Function TECHNOLOGY Role Consultant ID 437758 Skills Artificial Intelligence Salary Range $160,700 - $220,000 Desired Candidate Profile Qualifications BACHELOR OF COMPUTER SCIENCE