[Remote] Senior Engagement Manager- Revops & Account Leader

Note: The job is a remote job and is open to candidates in USA. 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 advises senior executives, develops data-driven strategies and transformation roadmaps, leads solutioning and stakeholder engagement, and provides oversight from discovery through implementation.

Responsibilities

• Lead end-to-end discussions with C-suite and senior leaders across revenue, marketing, sales, customer experience, digital, data, analytics, and technology
• Plan and facilitate executive interviews, discovery sessions, design workshops, capability assessments, and roadmap discussions
• Diagnose business challenges, frame hypotheses, synthesize qualitative and quantitative insights, and develop practical recommendations
• Define future-state operating models, governance structures, transformation portfolios, value cases, and phased implementation roadmaps
• Build executive-ready narratives and communicate complex recommendations with clarity and credibility
• Advise clients across lead-to-revenue, marketing-to-sales, opportunity-to-close, customer success, retention, expansion, and renewal journeys
• Shape RevOps strategies spanning funnel management, pipeline governance, forecasting, territory and coverage models, lead management, sales effectiveness, and revenue intelligence
• Identify process, data, technology, analytics, and organizational interventions that improve commercial performance
• Define KPIs, management routines, decision rights, and governance required to align marketing, sales, customer success, finance, and operations
• Design data-driven solutions across customer acquisition, segmentation, marketing effectiveness, campaign measurement, personalization, engagement, conversion, loyalty, retention, and lifetime value
• Lead customer journey, Customer 360, identity resolution, audience, attribution, next-best-action, and churn-related initiatives
• Connect lifecycle use cases to measurable business outcomes and define the data, analytics, process, and platform capabilities required to deliver them
• Guide clients in prioritizing use cases based on value, feasibility, readiness, and speed to impact
• Shape enterprise data and analytics strategies that support revenue, marketing, sales, and customer transformation
• Define requirements for data platforms, governance, quality, integration, MDM, identity resolution, semantic layers, BI, advanced analytics, and AI enablement
• Translate business use cases into solution blueprints, data requirements, analytical products, and delivery roadmaps
• Guide responsible adoption of machine learning, generative AI, and agentic solutions in customer and commercial workflows
• Partner with technical architects and engineering teams to ensure solutions are scalable, governed, secure, and implementable
• Lead solution design for advisory engagements and multi-workstream transformation opportunities
• Own or contribute to RFPs, RFIs, proposals, statements of work, solution presentations, and executive pitches
• Develop scope, workplans, staffing models, effort estimates, cost estimates, assumptions, dependencies, risks, and commercial inputs
• Partner with account and sales leaders to identify, shape, and expand strategic opportunities
• Support transition from consulting recommendations into analytics, data, AI, and managed-services delivery
• Provide senior oversight for consulting and transformation programs from discovery through implementation
• Manage senior client stakeholders, cross-functional working teams, program risks, decisions, dependencies, and outcomes
• Ensure high-quality deliverables, disciplined program governance, and clear linkage between recommendations and business value
• Coach teams in structured problem solving, stakeholder communication, analytics-led consulting, and executive storytelling
• Build reusable frameworks, maturity assessments, benchmarks, playbooks, solution assets, and accelerators across RevOps and customer growth transformation
• Develop points of view, white papers, case studies, workshop content, and market-facing propositions
• Contribute to hiring, mentoring, competency development, community building, and the growth of consulting and solutioning talent
• Represent EXL in strategic client forums, internal leadership discussions, and relevant industry events

Skills

• 12-16 years of experience across management consulting, revenue operations, commercial transformation, customer analytics, marketing analytics, data strategy, or related disciplines
• Proven ability to independently engage C-suite and senior executives and lead complex, ambiguous transformation discussions
• Experience in at least two of the following areas: RevOps, sales transformation, marketing transformation, customer strategy, customer analytics, data and analytics strategy, or AI-led business transformation
• Demonstrated success translating business challenges into operating models, roadmaps, use-case portfolios, data and analytics solutions, and implementation programs
• Experience leading consulting engagements or transformation workstreams with strong executive communication and stakeholder-management responsibilities
• Hands-on experience with proposals, RFPs, solution presentations, scope definition, staffing, effort estimation, cost estimation, and commercial inputs
• Bachelor's or master's degree in business, engineering, economics, analytics, computer science, information systems, or a related discipline
• Executive presence and trusted-advisor mindset
• Management consulting toolkit and structured problem solving
• Commercial orientation and consultative selling capability
• Data-driven decision making and analytical fluency
• Ability to connect strategy, data, technology, process, and operating model
• Clear executive communication and compelling storytelling
• Team leadership, coaching, collaboration, and ownership
• Comfort operating in ambiguous, complex, and fast-moving environments
• Experience in a recognized consulting, analytics, digital transformation, or professional-services organization
• Knowledge of platforms such as Salesforce, Microsoft Dynamics, Adobe, Marketo, HubSpot, Snowflake, Databricks, Microsoft Fabric, Power BI, or Tableau
• Experience with Customer 360, customer data platforms, MDM, identity resolution, marketing measurement, revenue intelligence, or sales analytics
• Exposure to machine learning, generative AI, agentic AI, MLOps, LLMOps, AI governance, or AI-enabled commercial workflows
• Experience building a consulting offering, center of excellence, reusable assets, strategic partnerships, or high-performing multidisciplinary teams

Benefits

• Hybrid work arrangement

Company Overview

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