Engagement Leader- Revenue Operations

EXL; New York (NY); Sur place; USD 190 000 - 260 000; Plein temps

Résumé du poste

EXL is seeking a client-facing consulting leader to shape and lead revenue operations, customer growth, marketing, sales, data, analytics, and AI transformation programs.

The role requires strong management consulting skills, executive presence, and the ability to translate business priorities into data-driven strategies, operating models, transformation roadmaps, and implementable solutions across the full customer and revenue lifecycle.

Qualifications

• Proven track record in management consulting at a top-tier firm.
• Executive presence with strong communication and relationship-building.
• Deep knowledge of the full customer journey and RevOps.
• Experience leading data/AI transformation programs.
• Ability to engage senior executives independently.
• Strong problem-solving and cross-functional leadership.

Responsabilités

• Lead client engagements focused on revenue operations, customer growth, and scaling.
• Drive analytics, data science, and AI programs for enterprise clients.
• Advise senior stakeholders across revenue, marketing, and sales.
• Architect operating models optimizing the full customer/revenue lifecycle.
• Develop strategic roadmaps translating goals into actionable plans.
• Own solution implementation and ensure deployable outcomes.
• Foster collaboration with internal account, consulting, and delivery teams.
• Improve commercial functions through data-driven insights.

Connaissances

Management Consulting

Executive Presence

Revenue Lifecycle

Data Analytics

AI Transformation

Cross-Functional Leadership

Strategic Problem Solving

Independent Client Engagement

Description du poste

EXL is seeking a client-facing consulting leader to shape and lead revenue operations, customer growth, marketing, sales, data, analytics, and AI transformation programs. The role requires strong management consulting skills, executive presence, and the ability to translate business priorities into data-driven strategies, operating models, transformation roadmaps, and implementable solutions across the full customer and revenue lifecycle. The leader will independently engage senior business, revenue, marketing, sales, customer, digital, data, and technology executives while collaborating with EXL account, consulting, solutioning, and delivery teams.

Key Responsibilities:

• Lead Client Engagements: Direct high-impact management consulting programs focused on revenue operations, customer growth, and business scaling.
• Drive AI & Data Transformation: Shape and execute modern analytics, data science, and artificial intelligence programs for enterprise clients.
• Advise C-Suite Stakeholders: Independently engage, influence, and align priorities with senior business, revenue, marketing, sales, and digital executives.
• Architect Operating Models: Design and implement cutting-edge target operating models that optimize the full customer and revenue lifecycle.
• Develop Strategic Roadmaps: Translate ambiguous corporate goals into structured, data-driven transformation roadmaps and execution plans.
• Own Solution Implementation: Ensure high-level business strategies are successfully converted into concrete, deployable technical and operational solutions.
• Foster Internal Collaboration: Partner seamlessly with internal EXL account, consulting, solutioning, and delivery teams to deliver cohesive results.
• Optimize Commercial Functions: Analyze and improve client capabilities across marketing efficiency, sales enablement, and customer retention.
• Manage Project Delivery: Oversee consulting project lifecycles, ensuring timelines, budgets, resource allocation, and quality standards are met.
• Champion Innovation: Bring continuous thought leadership to clients regarding emerging AI technologies, data practices, and market trends.

Qualifications:

• Management Consulting Background: Proven track record of success within a top-tier or specialized management consulting firm.
• Executive Presence: Exceptional communication, presentation, and relationship-building skills to command confidence at the executive level.
• Revenue Lifecycle Expertise: Deep functional knowledge of the full customer journey, including marketing, sales, and revenue operations (RevOps).
• Data & Analytics Literacy: Strong capability to leverage data, advanced analytics, and business intelligence to solve complex business problems.
• AI Transformation Experience: Practical familiarity with how AI, machine learning, and automation are applied to drive business growth.
• Cross-Functional Leadership: Demonstrated ability to bridge the gap between business strategy, data science, and technology execution teams.
• Independent Client Engagement: Experience managing senior stakeholder relationships autonomously without requiring day-to-day oversight.
• Strategic Problem Solving: Ability to structure complex, ambiguous client problems into logical frameworks and actionable solutions.
• Collaborative Delivery Skills: Proven success working within matrixed organizations alongside sales, account management, and offshore technical teams.
• Business Acumen: Acute commercial awareness with a thorough understanding of how data initiatives directly impact a client's bottom line.