Senior Data & AI Presales Leader

Iris Software Inc.

Edison (NJ)

On-site

USD 170,000 - 210,000

Full time

14 days+
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Job summary

Iris Software Inc. is seeking a senior Data, Analytics & AI Presales Practitioner to collaborate with Client & Delivery Partners on Data & Analytics problems, conceptualize solutions, and present Iris capabilities. You will help bootstrap engagements and provide ongoing leadership across PoCs, PoTs and MVPs.

The role emphasizes building competency in Data & AI, including Data Engineering, Analytics, Data Science, AI/ML, ML and Data Ops, while staying current with industry trends and tools.

Qualifications

  • Bachelor’s or Master’s in a software discipline; MBA is a plus.
  • 15+ years of experience in data architecture, Gen AI, pre-sales, and large-scale data/AI projects.
  • Led engagements in data & AI for solutioning, architecture and presales.
  • Strong client interaction and presentation skills.
  • Experience with AWS/Azure/GCP data & AI services; LangChain, Python; cloud.openAI services.

Responsibilities

  • Lead enterprise-level data & AI solutioning and presales engagements.
  • Collaborate with delivery partners to bootstrap engagements and deliver PoCs/PoTs/MVPs.
  • Develop and promote data & AI competencies within Iris teams.
  • Stay current on best practices, tools and trends in Data & AI.

Skills

Data architecture
Generative AI
Presales
Consulting
Data lakes/warehousing
Python/Java

Education

Bachelor’s degree in Software discipline
Master’s degree in Software discipline
MBA (a plus)

Tools

AWS
Azure
GCP
LangChain/Python

Job description

Iris Software Inc. is seeking a senior Data, Analytics & AI Presales Practitioner to collaborate with Client & Delivery Partners on Data & Analytics problems, conceptualize solutions, and present Iris capabilities. You will help bootstrap engagements and provide ongoing leadership across PoCs, PoTs and MVPs.

The role emphasizes building competency in Data & AI, including Data Engineering, Analytics, Data Science, AI/ML, ML and Data Ops, while staying current with industry trends and tools.

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