Engagement Manager, Agentic AI & Data Science

Posted 3 days ago

wellesley cove groupDenver (CO)

SENIORITY

Senior

SALARY

$180,000 per year

Apply

About the role

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 AIPrior experience in finance transformation, analytics transformation, or AI-enabled operations
Base salary: $180,000 per year plus benefits.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this