Manager, Data Analytics Consulting

If you are an AI builder who thrives on taking ideas from vision to whiteboard (or demo) to production — and enjoys collaborating within a larger team to shape the future of enterprise AI — this role is for you. We are looking for Managers within our Data & AI Consulting Practice to own the full AI lifecycle: shaping end-to-end solutions during pre‑sales, leading enterprise ML/GenAI programs into production, and working on building scalable, market-ready AI offerings. This is a hands‑on leadership role for technologists who combine deep engineering capability with client engagement and commercial ownership, delivering measurable enterprise impact beyond proof‑of‑concept initiatives. 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) #J-18808-Ljbffr EPAM Systems Inc