Data, Analytics & AI Practice Leader

PeoplePilot; New Jersey; On-site; USD 170,000 - 260,000; Full time

Job summary

PeoplePilot seeks a Data & Analytics Practice Leader to guide enterprise Data & AI initiatives across platforms such as AWS, Azure, and GCP. You will lead client engagements, brainstorm solution options, and oversee PoCs, PoTs and MVPs while shaping competency development within teams.

The role requires 15+ years in data architecture and AI implementations, strong presentation skills, and a proven track record of presales and consulting for financial services or related industries.

Qualifications

• Bachelor's or Master's degree in a Software discipline and/or MBA is a plus.
• 15+ years of experience in Data architecture, Gen AI, Pre-Sales, Consulting, and Implementation of large-scale Enterprise-level Data Lake/Data Warehousing, Big Data and AI applications.
• Background in Data and AI, having led multiple engagements in Data & AI in terms of solutioning, architecture and presales.
• Excellent client interaction and presentation skills.
• Lifecycle experience with AWS/Azure/GCP Data & AI Services, Generative AI solutions using frameworks like LangChain, Python, and cloud services (Azure OpenAI, AWS).
• Technical knowledge of LLMs, RAG architecture, and vector databases.

Responsibilities

• Engage with client managers to understand current state and business problems/opportunities.
• Conceptualize solution options and present capabilities to clients.
• Help bootstrap teams and deliver PoCs/PoTs/MVPs for Data & AI engagements.
• Stay up to date on best practices and emerging tools in Data & AI.

Skills

Data architecture

Gen AI

Pre-Sales

Consulting

Data & AI Solutions

Education

Bachelor's or Master's in Software discipline

MBA (plus)

Tools

AWS

Azure

GCP

LangChain

Python

LLMs

RAG

Vector databases

Job description

The Data & Analytics Practice Leader role is an opportunity to be part of our technology practices. The candidate will collaborate with Client & Delivery Partners to engage clients on their Data & Analytics (including Data Science, AI/ML, ML & Data Ops) related problems, conceptualize solution options, present Practice capabilities, help bootstrap engagements, and provide ongoing leadership and oversight. The candidate will also participate in various Practice related activities including competency development, knowledge transfers, and practice presentations on Data & AI solutions.

Key Responsibilities:

Senior professional level, hands-on enterprise level solution leader with deep experience in Data and AI technologies and on public cloud platforms like AWS / Azure / GCP.

Engage with client managers to understand current state, business problems/opportunities, conceptualize solution options, discuss and finalize with client stakeholders, help bootstrap a team, and deliver PoCs/PoTs/MVPs.

Help build overall competency within teams working on related client engagements in Data & AI, including Data Engineering, Analytics, Data Science, AI/ML, ML and Data Ops, Data Governance, related solution patterns, platforms, tools and technology.

Stay up to date on best practices, new and emerging tools, and trends in Data and AI.

Professional Experience / Qualifications:

Bachelor's or Master's degree in a Software discipline and/or MBA is a plus.

15+ years of experience in Data architecture, Gen AI, Pre-Sales, Consulting, and Implementation of large-scale Enterprise-level Data Lake/Data Warehousing, Big Data and AI applications.

Background in Data and AI, having led multiple engagements in Data & AI in terms of solutioning, architecture and presales.

Excellent client interaction and presentation skills.

Technology:

Lifecycle experience with AWS/Azure/GCP Data & AI Services, Generative AI solutions using frameworks like LangChain, Python, and cloud services (Azure OpenAI, AWS).

Technical knowledge of LLMs, RAG architecture, and vector databases.

Database and programming experience with Python/Java etc.

Industry Experience:

Desired: experience in Financial Services - Capital Markets & Investment Banking, Commercial & Corporate Banking, Investment/Asset/Wealth Management, Brokerage and/or related industries.