Strategic Generative AI & Analytics Lead

EXL

New York (NY)

On-site

USD 150,000 - 210,000

Full time

9 days ago

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Benefits offered by this job

Mentoring program
Analytics training & tool upskilling
Career growth opportunities

Job summary

EXL is seeking a senior analytics leader in New York to translate complex business challenges into data-driven AI solutions. You will oversee cross-functional projects, steer analytics roadmaps, and guide teams in designing and deploying intelligent analytics platforms.

The ideal candidate blends business acumen with AI expertise, leading stakeholder engagement and driving measurable value through data-driven transformation.

Qualifications

  • 5+ years in data analytics, BI, data science, AI consulting, or related fields.
  • Strong hands-on experience with AWS and cloud platforms (Azure/Google Cloud acceptable).
  • Advanced SQL and Python programming skills.
  • Practical knowledge of machine learning, Generative AI, and LLMs.
  • Experience designing and deploying Decision Intelligence systems with governance.

Responsibilities

  • Partner with business leaders to identify data, analytics, and AI opportunities.
  • Develop analytics roadmaps aligned with strategic priorities and outcomes.
  • Lead AI/ML initiatives, POCs, and deployment across environments.
  • Translate requirements into actionable analytics use cases and dashboards.
  • Oversee data quality, governance, and self-service analytics adoption.
  • Mentor analytics professionals and manage project timelines and stakeholders.

Skills

AWS
SQL
Python
Generative AI
Leadership

Tools

OpenAI APIs
LangChain
MLflow
TensorFlow
PyTorch

Job description

EXL is seeking a senior analytics leader in New York to translate complex business challenges into data-driven AI solutions. You will oversee cross-functional projects, steer analytics roadmaps, and guide teams in designing and deploying intelligent analytics platforms.

The ideal candidate blends business acumen with AI expertise, leading stakeholder engagement and driving measurable value through data-driven transformation.

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