AI Services Consultant - Global Financial Services

AI Services Consultant - Global Financial Services #26-1355 Multiple Locations Eligible Work Locations Hartford, Connecticut, United States Washington D.C., United States Tampa, Florida, United States Atlanta, Georgia, United States Boston, Massachusetts, United States What is the Enterprise AI Strategy & GTM Execution team? WWT’s Enterprise AI Strategy & GTM Execution team is at the center of WWT’s AI transformation, responsible for leading the company’s go-to-market motion across the full AI solution stack — from infrastructure and platforms to consulting, advisory, and managed services. The team will serve as the primary bridge between WWT’s enterprise AI capabilities and the customers who need them most. What will you be doing? The AI Services Consultant is the consulting pre‑sales partner within each regional AI POD. This role develops, scopes, and positions the consulting services engagements that translate AI strategy into funded projects across all AI GTM categories. This role is critical because AI infrastructure investment decisions are closely linked to the services that enable organizations to unlock AI’s potential business value while managing risk. Increasingly AI initiatives are gated by the customer’s ability to prove value through use cases, demonstrate data readiness, and operationalize AI workloads. The AI Services Consultant develops and packages the services engagements that remove these gates and accelerate the customer’s path from exploration to production. Additionally, this role develops and positions workforce AI and coding assistant services that represent a high‑growth, high‑attach consulting opportunity. Success requires a blend of services business acumen, AI use‑case expertise, workforce AI fluency, and the ability to operate in the space between sales and delivery to develop service proposals during the sales cycle, present methodology to customers, ensure clean handoff to delivery teams, and build the next opportunity off the success of each services engagement. Responsibilities: Position and conduct initial discovery to scope consulting services engagements across all AI GTM categories (AI Factory, AI Foundations, Workforce AI, and AI Native Engineering). Service motions include AI security, data readiness & governance, use‑case acceleration, AI lab services (ATC‑hosted), operational acceleration programs, AI Factories (design, build, operate), workforce adoption & innovation, and AI Native Engineering (e.g., Coding Assistants). POD & Cross‑Functional Collaboration Operate as an integrated member of the three‑person regional POD (AI Solutions Executive, AI Solutions Architect, AI Services Consultant), participating in weekly POD cadence, joint pipeline reviews, and account planning. Partner with the AI Solutions Executive to attach consulting services to every AI opportunity—whether infrastructure‑led or workforce AI‑led—creating multi‑phase engagement models that expand account penetration. Collaborate with the AI Solutions Architect and SSAs to define the right entry‑point services (assessments, workshops, roadmaps, pilots) and to sequence multi‑phase programs that expand over time. Operate as a trusted AI subject‑matter resource to field sales teams, embedding into account planning and strategy sessions to surface AI opportunities. Build strong working relationships with field sales teams across the assigned region, earning inclusion in customer conversations and account reviews through consistent value delivery. Present consulting methodology, approach, and value proposition to customer stakeholders during competitive evaluations where services differentiation is the deciding factor. Integrate with the operating rhythm and culture of the Regional sales teams to work in collaboration to set strategy and co‑sell AI solutions across the territory. AI Factory Justification & Consumption Acceleration Develop services to drive business‑case models, TCO analyses, and consumption forecasting that justify GPU/compute infrastructure investment tied to measurable business outcomes. Design lab services engagements leveraging WWT’s ATC for proof‑of‑concept, performance benchmarking, and reference architecture validation that de‑risk AI Factory decisions. Track consulting services pipeline, attach rates, and delivery outcomes—demonstrating the relationship between consulting engagement and downstream infrastructure consumption. Workforce AI & Developer Productivity Services Position and conduct initial scoping for developer productivity assessments, coding assistant vendor evaluation, pilot program design and execution, adoption metrics and ROI measurement, and security/governance frameworks for AI‑generated code and content. Stay current on the workforce AI competitive landscape: Microsoft 365 Copilot, GitHub Copilot, ServiceNow AI agents, Google Gemini, and emerging platforms (Anthropic, Cognition, Cursor, +). Services Growth Capture customer feedback, and engagement outcomes that inform service package iteration and improvement. Build additional pipeline on the success of each service engagement delivered to the customers. AI Transformation Program Structuring & Continuity Collaborate with AI Solutions Architects and SSAs to structure multi‑phase AI consulting engagements that extend beyond initial scopes, sequencing use case validation, data readiness, platform enablement, and scaled adoption to drive long‑term customer value. Develop program‑level roadmaps that align business outcomes, technical milestones, and organizational readiness, enabling customers to transition from isolated AI initiatives to sustained, production‑scale adoption. Co‑develop with SSAs lightweight governance and operating models required to operationalize AI initiatives, including roles, decision frameworks, and execution cadence aligned to customer maturity and organizational structure. Maintain continuity between pre‑sales and early delivery phases by ensuring alignment between proposed solutions, delivery approach, and expected business outcomes, reducing re‑scoping risk and improving execution quality. Identify repeatable patterns across consulting engagements and contribute to the development of reusable service frameworks, playbooks, and accelerators that improve consistency, scalability, and margin performance. Qualifications: Minimum 10 years in technology consulting, services sales, or practice management at a solutions provider, consultancy, or systems integrator. Direct experience scoping and selling data, AI, analytics, or cloud consulting engagements. Must understand services economics: SOW development, effort estimation, margin dynamics, and utilization. Practical knowledge of enterprise AI use cases at the engagement level with the ability to define workshops, data readiness assessment, and/or an operational acceleration program with specific activities and deliverables. Understanding of the coding assistant (AI Native Engineering) and workforce AI landscape. Ability to scope developer productivity assessments, coding assistant pilots, adoption services, and ROI engagements. Working knowledge of data engineering, governance, cloud data platforms, data foundations, and security solutions required for enterprise AI. Comfortable developing service proposals during the sales cycle and presenting methodology to customers in competitive evaluations. Experience collaborating across sales, architecture, and delivery organizations to ensure scope fidelity and clean handoffs. Preferred Qualifications: Prior experience at a consulting firm in a client‑facing, services sales or practice development role. Experience designing engagements that leverage lab/PoC environments for customer validation. Prior delivery management experience in addition to services sales/scoping. Regional travel up to 40% Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $170,000.00 to $190,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. Benefits: Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program Equal Opportunity Employer Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. 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