Director, Data & AI Technical Consulting & Architecture Lead

Responsibilities

• Serve as a trusted C-suite level advisor, defining enterprise data, analytics, and AI strategies, roadmaps, and investment cases tied to measurable business outcomes
• Build and maintain deep relationships with data, architecture, engineering, and AI leaders within the account, creating credibility through strong technical judgment
• Rapidly understand the client’s technology landscape (platforms, governance, security, operating model) and translate constraints into pragmatic transformation sequencing
• Identify, shape, and own a portfolio of Data & AI opportunities — turning early ideas into qualified pursuits with clear value, scope, risks, and next steps
• Architect end-to-end solutions across cloud-scale data platforms, integration, security, governance, MLOps/LLMOps, and application ecosystems, balancing time-to-value with sustainability
• Lead hands-on PoVs/PoCs, demos, and technical prototypes (e.g., lakehouse patterns, RAG/agentic workflows, evaluation/observability) to validate feasibility and accelerate decisions
• Drive complex pre-sales: lead discovery, respond to RFPs/RFIs, produce high-impact architecture narratives, and deliver executive pitches for large-scale engagements
• Shape, scope, and price consulting engagements; define delivery models and team structures (onshore/nearshore/offshore) and ensure strong technical governance
• Mobilize specialist teams and ensure continuity from initial concept through PoC to implementation and adoption, aligning expectations and delivery outcomes
• Champion Responsible AI and security-by-design, advising on ethical deployment, bias mitigation, auditability, and regulatory readiness (including EU AI Act considerations), while contributing to broader go-to-market offerings and thought leadership

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