Consultant - Data & Ai

Tata Consultancy Services; Santa Clara (CA); On-site; USD 161,000 - 220,000; Full time

Job summary

Tata Consultancy Services Limited in Santa Clara, CA is seeking a Senior Data & AI Consultant to shape account-level Data and AI agendas and lead advisory engagements. You will drive roadmaps, design architectures, and mentor teams across CoE and delivery units.

The role is senior and customer-facing, combining strategic guidance with hands-on solution design across data engineering, governance, GenAI, and modern data platforms to deliver measurable business outcomes on the US West Coast.

Qualifications

• Demonstrated senior-level experience in Data and AI consulting, solution architecture, and customer-facing technology leadership.
• Working knowledge of data engineering pipelines, cloud-native tools and governance concepts.
• Hands-on experience with GenAI, LLMs and enterprise AI patterns.
• Experience leading or building a Data & AI practice or CoE with client-facing delivery.

Responsibilities

• Build trusted relationships with customer data, analytics, AI and platform leaders; assess priorities and define transformation roadmaps.
• Shape modern data architectures covering ingestion, lakehouse/warehouse, streaming and data serving.
• Advise on governance, metadata, cataloging, data quality, lineage and security for enterprise data and AI readiness.
• Lead discovery and design for ML, GenAI and agentic use cases; establish architecture, evaluation and guardrails.
• Plan and facilitate Data and AI discovery sessions, architecture workshops and use-case prioritization.

Skills

Data & AI consulting

Solution architecture

Python & SQL

Spark PySpark

ETL/ELT

Kafka

Databricks

Snowflake

GenAI engineering

LangChain

LangGraph

MLOps

Docker Kubernetes

PyTorch TensorFlow

Data governance

Education

Bachelor's degree in Computer Science/Engineering

Master's or PhD desirable

Tools

Databricks

Snowflake

Pinecone

Weaviate

Milvus

Job description

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

• 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.
• 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

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