Senior Manager, AI Solutions & Platform Enablement – Managed Services
About The Position
The Senior Manager, AI Solutions & Platform Enablement is a senior individual contributor in Managed Services who helps translate business and client needs into practical AI and technology applications. Working across Managed Services business lines, the role identifies and prioritizes use cases, develops business cases, coordinates execution, supports adoption, and measures value. It also contributes to client pursuits and solution discussions involving AI, automation, and digital capabilities. This is not an enterprise AI strategy or technical architecture role. The position connects business priorities, client needs, and technology capabilities while keeping multiple initiatives moving in a fast-paced consulting environment. It works with Managed Services leaders and AI, Product, Platform, Technology, Innovation, Risk, Legal, Security, and partner teams to shape and deliver solutions that fit operational needs and firm standards. Success means helping move the right opportunities forward, connecting the right teams, enabling sustained adoption, and demonstrating value through improved productivity, quality, insight, and client outcomes. The stated pay range is $138,100 to $216,400; actual compensation depends on factors including skills, experience, qualifications, work arrangements, and geographic location.
Requirements
- At least 8 years of experience in consulting, professional services, technology, financial services, managed services, or a related environment.
- Experience working across business and technology teams.
- Strong business acumen and ability to connect technology opportunities to business outcomes and measurable value.
- Experience supporting or leading complex cross-functional technology, product, automation, or digital initiatives.
- Understanding of how products and technology capabilities progress from idea through development, deployment, and adoption.
- Experience with enterprise systems such as ERP, HRIS, CRM, workflow platforms, data platforms, or other core business applications.
- Strong client-facing communication and presentation skills.
- Ability to translate technical concepts into clear business language.
- Ability to manage multiple priorities and workstreams amid changing conditions and incomplete information.
- Strong influencing and relationship-management skills across senior business and technology stakeholders.
Nice To Haves
- Working knowledge of generative AI, LLMs, RAG, APIs, AI agents, and agentic workflows.
- Experience with automation, workflow, or intelligent document-processing technologies.
- Exposure to finance and accounting, HR and payroll, or other back-office processes.
- Experience within Managed Services, shared services, or business process operations.
- Experience working with enterprise technology vendors and strategic alliances.
- Exposure to evaluating potential technology partners, investments, or acquisitions.
Responsibilities
- Work with Managed Services business line leaders to understand priorities and operating challenges and identify where AI and automation can create value.
- Identify, evaluate, and prioritize AI use cases across finance and accounting, HR and payroll, technology and application support, and other Managed Services capabilities.
- Track active Managed Services AI initiatives, pilots, platform capabilities, and dependencies; connect similar needs across business lines to encourage reuse.
- Support the Managed Services AI roadmap in coordination with AI, Product, Platform, and Technology leadership.
- Translate business requirements and client needs into clear use cases, requirements, and expected outcomes.
- Coordinate with Product, Platform, Technology, and Innovation teams to advance prioritized opportunities from concept through development, testing, and adoption.
- Provide business context and operating requirements to technical and product teams, and relay delivery-team and client feedback to Product and Platform leaders.
- Participate in client discovery sessions, workshops, pursuits, and solution discussions involving AI, automation, data, and platform capabilities.
- Support business cases, solution narratives, demonstrations, and executive presentations, and participate in internal deal reviews when AI or technology is a meaningful part of the proposed solution.
- Support adoption, training, and workflow integration so capabilities move beyond pilots into sustained use across Managed Services.
- Set practical measures for adoption, productivity, quality, client outcomes, and financial value; identify adoption barriers and coordinate their resolution.
- Help leadership assess which initiatives are generating value and where further investment or change is needed.
- Coordinate with AI, automation, document intelligence, and technology partners; track vendor capabilities and roadmaps with Alliance, Product, and Platform leaders.
- Evaluate technologies and partners for business relevance, scalability, integration, economics, and client value, and support evaluation of strategic partnerships, investments, or acquisitions when appropriate.
- Connect Managed Services business lines with AI, Product, Platform, Technology, and Innovation teams; represent Managed Services requirements and priorities in cross-functional discussions.
- Build alignment on scope, priorities, ownership, and expected outcomes; influence across teams without direct reporting lines and escalate decisions, risks, and dependencies as needed.
- Coordinate with AI, Technology, Risk, Legal, and Security leaders to ensure solutions meet firm standards.
- Incorporate human review, controls, escalation, and governance requirements into AI-enabled workflow design and adoption.
Benefits
- Compensation and benefits package offered to eligible employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
