Manager, Data Analytics Consulting
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Role details
Tech stack
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Job description
- 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)
About the company
EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.
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