Manager, Client Services, AI, CX

Client-Facing Responsibilities

• Serve as primary executive-facing PMO leader for AI programs.
• Translate client business objectives into AI roadmaps, Objectives & Key Results (OKRs), and Key Performance Indicators (KPIs).
• Present portfolio status, risks, options, and value realization to client executives.
• Lead steering committees, Quarterly Business Reviews (QBRs), and executive communication.

PMO Leadership & Governance

• Establish PMO standards tailored to AI, including AI/ML lifecycle stage gates.
• Run portfolio intake, prioritization, funding, and benefits tracking.
• Implement AI-augmented reporting, dashboards, and risk sensing.

AI Program Delivery

• Oversee end-to-end delivery of AI solutions, including data readiness, model validation, deployment, and adoption.
• Ensure alignment to responsible AI principles and compliance.
• Partner with Data/ML Engineering, MLOps, Security, and Business stakeholders.

People Leadership

• Lead, mentor, and coach PMs, TPMs, and analysts.
• Manage staffing, workload balancing, and performance.
• Foster a high-performing, client-centric culture.

Qualifications

• BS/BA in technical (e.g., CS/IS/EE) or business (e.g., Marketing/MIS) field or equivalent work experience required. MBA preferred.
• 7–10+ years in program/project management; 3+ managing AI/ML initiatives.
• Proven people‑leadership experience in managing and coaching direct reports.
• Experience delivering complex, client-facing AI programs.
• Strong understanding of AI/ML concepts, data governance, and MLOps.
• Excellent executive communication and stakeholder leadership.
• PMP Certification.

Benefits

• Nice to work for a company that is known as an innovation powerhouse that excels in AI, cloud and digital, and is consistently recognized as the market leader in its domains.
• Work in a fast-paced, collaborative, and creative environment with teams comprised of the best of the best.
• Opportunities for continuous learning and growth with endless internal career opportunities across multiple roles, disciplines, domains, and locations.

Pay

Details on pay are not specified in the job posting.

Schedule

Details on schedule are not specified in the job posting.