Engagement Manager, Agentic AI & Data Science

Company Description Wellesley Cove Group is an AI transformation and management consulting firm that helps organizations turn data, workflows, and emerging technology into measurable business outcomes. The firm partners with AI companies in complex environments to modernize processes and reduce manual work. WCG works at the intersection of consulting, process redesign, data science, and agentic AI to deliver practical, usable solutions. Built by ex-Big-4 consultants and technologists, the firm combines senior advisory experience with hands-on delivery across finance, operations, and AI.

Responsibilities

• Lead or support client engagements focused on data analytics, forecasting, and AI-enabled workflow improvement
• Assess existing forecasting, planning, reporting, and analytics processes
• Identify where agentic AI capabilities can support recurring analysis, scenario planning, data review, exception handling, and decision-making
• Help design practical agentic AI workflows that improve speed, quality, consistency, and scalability of analytical work
• Work with data scientists, analysts, engineers, and client stakeholders to translate business requirements into executable solutions
• Review deliverables, provide feedback to junior team members, and ensure work products meet consulting-quality standards
• Support client communications, project planning, status updates, and executive-ready deliverables
• Contribute to the development of Wellesley Cove Group’s AI-native consulting offerings

Qualifications

• Prior consulting experience required, ideally with Deloitte, PwC, EY, KPMG, Accenture, or a similar consulting firm
• Experience in data analytics, business intelligence, reporting, or data-driven decision support
• Familiarity with financial forecasting, planning, budgeting, or related finance / FP&A processes
• Ability to think creatively about how AI agents can be applied to business workflows
• Strong problem-solving, communication, and client-management skills
• Ability to manage ambiguity and structure work in a fast-moving environment
• Experience reviewing and improving the work of analysts, consultants, or technical team members

Nice to Have

• Python, statistical modeling, or data science exposure
• Experience with forecasting models, scenario analysis, or planning tools
• Exposure to AI agents, LLM-based workflows, automation, or applied generative AI
• Prior experience in finance transformation, analytics transformation, or AI-enabled operations

Base salary: $180,000 per year plus benefits.