Consultant - Data & AI

Role: Consultant

Required Skills: Artificial Intelligence

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 10 - 25 Years

Function: TECHNOLOGY

Apply By: 2026-12-25

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.

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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

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