Senior Engagement Manager- Revops & Account Leader at EXL

Job description

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 Executive Advisory & Management Consulting • 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. Revenue Operations & Commercial Transformation • 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. Marketing, Customer & Sales Lifecycle Solutions • 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. Data, Analytics & AI Transformation • 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. Solutioning, Proposals & Growth • 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. Delivery & Stakeholder Leadership • 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. Capability Building & Thought Leadership • 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. Required Experience & Qualifications • 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. • Ability and willingness to work in a hybrid model and travel frequently to the New York Tri-State area and other client locations. • Bachelor’s or master’s degree in business, engineering, economics, analytics, computer science, information systems, or a related discipline. Preferred Experience • 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. Leadership Competencies • 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 Success Measures • Quality and executive acceptance of strategies, roadmaps, operating models, and transformation recommendations. • Creation and conversion of differentiated RevOps, customer growth, data, analytics, and AI opportunities. • Successful transition of advisory work into scalable implementation and delivery programs. • Strength of client relationships and confidence among senior stakeholders. • Development of reusable assets, thought leadership, and high-performing consulting and solutioning talent.

Requirements

Must-haves

Executive Advisory & Management Consulting
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.
Revenue Operations & Commercial Transformation
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.
Marketing, Customer & Sales Lifecycle Solutions

Nice-to-haves

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.
Leadership Competencies
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

Application prep

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Keywords to mirror

aimachine learning

Platform: oracle-cloud
Effort: medium