Manager, Data Analytics Consulting

Overview

We are seeking Managers within our Data & AI Consulting Practice to lead the full AI lifecycle from pre-sales solutioning to production delivery of enterprise ML/GenAI programs. This role requires a combination of deep engineering capability and client engagement.

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

Qualifications

• Bachelor's/Master's in Computer Science, Data Science, or related field (or equivalent experience)

Skills

• Excellent communication and problem-solving skills
• Able to translate complex technical concepts and business requirements into practical, scalable AI solutions for diverse audiences