Data, Analytics & AI Practice Leader

Position 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.

Excellent English communication, written and verbal.

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.