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Manager, Data Analytics Consulting

EPAM·Salary not specified

Primary stack

PythonAIPyTorch

Nice to have's

semantic technologiesknowledge of ontology, knowledge graphs, OWL, RDF, SPARQL, SHACL

Job description

About the Position

We are seeking a Manager, Data Analytics Consulting to lead the full AI lifecycle and drive enterprise ML/GenAI programs into production. If you are an AI builder who thrives on taking ideas from vision to production and enjoys collaborating within a larger team to shape the future of enterprise AI, this role is for you.

Responsibilities

  • Lead the full AI lifecycle - from pre-sales solutioning (RFPs, proposals, scoping/pricing) through production delivery of enterprise ML/GenAI programs, on time and on budget
  • Provide hands-on technical leadership in AI Engineering, driving design, development, and implementation of solutions across client engagements
  • Serve as a trusted AI advisor to client stakeholders (including C-level), championing enterprise-wide AI adoption and translating business challenges into actionable AI strategies
  • Collaborate cross-functionally and across geographies to shape scalable AI offerings, products, and differentiators for target verticals

Requirements

  • Strong hands-on AI expertise with a track record of production delivery (model architectures, quality metrics, MLOps); proficiency in Python and frameworks such as PyTorch/TensorFlow; familiarity with platforms like GCP, AWS, Databricks, or Azure
  • Demonstrated leadership in driving multi-dimensional teams and influencing senior stakeholders to secure funding and deliver AI products
  • Knowledge of semantic technologies (Ontology, Knowledge Graphs, OWL, RDF, SPARQL, SHACL) is a strong plus
  • Excellent communication and problem-solving skills - able to translate complex technical concepts and business requirements into practical, scalable AI solutions for diverse audiences
  • Bachelor's/Master's in Computer Science, Data Science, or related field (or equivalent experience)

We Offer

  • Opportunity to shape the future of enterprise AI
  • Hands-on leadership role with measurable enterprise impact
  • Collaborative and innovative work environment

About the Company

[Company description if present]

Location

Remote in United States of America: New York

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