Senior Engagement Manager- Revops & Account Leader

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.