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Supports executives and stakeholders in defining business problems, requirements, processes, and success metrics for data, AI, and digital transformation initiatives. Identifies automation opportunities, specifies AI and data requirements, facilitates workshops, supports pilots and change management, partners with technical teams, oversees UAT, and maintains client relationships. Uses generative AI to accelerate analysis and documentation while validating outcomes and coaching project teams.

Lead executive discovery, process and value-stream analysis, and requirements definition for data, AI, and GenAI transformations. Facilitate workshops, identify automation opportunities, define data and model requirements, support pilots and UAT, manage stakeholder alignment, and measure business outcomes. Serve as a trusted client advisor, use generative AI to accelerate business analysis, ensure deliverable quality, and coach project team members.

Lead client discovery and executive engagement to identify high-value AI and data opportunities. Translate ambiguous business problems into use cases, hypotheses, MVP scopes, business cases, and measurable KPIs. Facilitate workshops, prototype solutions using AI-assisted and low/no-code tools, and partner with technical teams to develop scalable solutions. Manage client alignment, scope, risk, adoption, and change communication while connecting technology investments to business value.

Leads complex data and AI consulting programs as the primary client and partner contact. Owns delivery outcomes, roadmaps, scope, budgets, margins, forecasting, risks, change control, and executive communications. Coordinates multi-geo teams and technology partners, coaches delivery professionals, manages ambiguity and trade-offs, and drives measurable business impact through Agile delivery.

Lead complex client-facing AI and data programs from strategy through delivery, coordinating multi-geo teams and partners. Own roadmaps, budgets, margins, risks, escalations, client relationships, and measurable business outcomes. Partner with technical leaders, provide executive reporting, identify account expansion opportunities, and coach project managers and consultants. The role requires strong program management experience in consulting or professional services, familiarity with modern data and AI platforms, and willingness to travel up to 50% per month.

Leads complex, client-facing data and AI programs from strategy through delivery. Responsibilities include managing roadmaps, scope, budgets, margins, risks, forecasting, change control, executive communications, partner coordination, and measurable outcomes. The role orchestrates multi-geo teams, coaches delivery professionals, manages stakeholder relationships, and improves delivery methodologies across consulting engagements.

Design, build, deploy, and operate production-ready AI and machine learning systems for enterprise customers. Translate architectures and requirements into tested code, data and model pipelines, APIs, and AI applications. Implement predictive ML, generative AI, LLM, agentic, and intelligent automation solutions with evaluation, monitoring, guardrails, security, and governance. Integrate solutions with enterprise platforms and contribute reusable accelerators, engineering standards, and technical playbooks while collaborating with architects, data scientists, engineers, stakeholders, and clients.

Leads complex client-facing data and AI programs from strategy through delivery, coordinating multi-geo teams and partners. Owns roadmaps, budgets, margins, risks, escalations, utilization, change control, and executive communications. Partners with technical leaders to connect delivery with measurable business outcomes, identifies account expansion opportunities, and supports coaching and AI-augmented delivery practices. The role requires managing multiple customers and workstreams across cloud, analytics, data platforms, and AI/ML environments.

Advise enterprise clients on AI and data strategies, transformation roadmaps, operating models, governance, privacy, technology rationalization, and business cases. Lead discovery workshops, executive engagements, and art-of-the-possible sessions; prioritize use cases and connect technical recommendations to business outcomes. Build the advisory practice, develop offerings, manage multidisciplinary teams, mentor staff, strengthen client and partner relationships, and support successful distributed project delivery.

Lead end-to-end architecture and hands-on delivery of production-ready agentic AI solutions for enterprise clients. Design reusable accelerators, reference architectures, evaluation and guardrail strategies, and cloud-native deployments. Translate ambiguous business needs into scalable, secure, observable systems while collaborating with engineers, data scientists, platform teams, and stakeholders. Mentor team members, establish delivery standards, support consulting engagements, and advise senior clients on AI roadmaps and strategic initiatives.