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EXL
कुशल कामगार वीज़ा प्रायोजकबीमालॉजिस्टिक्सस्वास्थ्य सेवा
EXL एक व्यावसायिक परामर्श और सेवाएँ प्रदान करने वाली कंपनी है, जो संगठनों को डेटा, विश्लेषण और प्रौद्योगिकी का उपयोग करके संचालन में सुधार करने और बेहतर निर्णय लेने में सहायता करती है। इसके कार्यों में संचालन प्रबंधन, निर्णय विश्लेषण और डिजिटल रूपांतरण शामिल हैं। कंपनी को स्वास्थ्य सेवा, बीमा, वित्त और लॉजिस्टिक्स के क्षेत्रों में ग्राहकों का सहयोग करने का अनुभव है। EXL डेटा विज्ञान को व्यावहारिक व्यावसायिक विशेषज्ञता के साथ जोड़कर ऐसे समाधान विकसित करती है, जो प्रत्येक संगठन के लक्ष्यों, संचालन मॉडल और उद्योग-परिस्थिति के अनुरूप होते हैं।
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कंपनी की नौकरियाँ

Senior Engagement Manager, RevOps at EXL

Lead EXL consulting programs in revenue operations, customer growth, data, analytics, and AI transformation. Advise executives while guiding solution development, delivery, and team capability building.

USसंयुक्त राज्यहाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीअकाउंट मैनेजरबिक्री

विवरण

  • Engage C-suite and senior leaders across revenue, marketing, sales, customer experience, digital, data, analytics, and technology.
  • Facilitate executive interviews, discovery sessions, design workshops, capability assessments, and roadmap discussions.
  • Assess business challenges, develop hypotheses, combine qualitative and quantitative insights, and recommend practical solutions.
  • Define target operating models, governance, transformation portfolios, value cases, and phased implementation roadmaps.
  • Develop executive-ready narratives to explain complex recommendations.
  • Advise clients on lead-to-revenue, marketing-to-sales, opportunity-to-close, customer success, retention, expansion, and renewal journeys.
  • Develop RevOps strategies for funnel and pipeline management, forecasting, territory and coverage models, lead management, sales effectiveness, and revenue intelligence.
  • Design data-led solutions for customer acquisition, segmentation, marketing effectiveness, personalization, conversion, loyalty, retention, and lifetime value.
  • Lead Customer 360, identity resolution, audience, attribution, next-best-action, and churn initiatives.
  • Shape enterprise data and analytics strategies and specify needs for platforms, governance, integration, MDM, BI, advanced analytics, and AI enablement.
  • Guide responsible use of machine learning, generative AI, and agentic solutions.
  • Lead solution design and prepare or contribute to RFPs, RFIs, proposals, statements of work, solution presentations, and executive pitches.
  • Develop scopes, workplans, staffing models, estimates, assumptions, dependencies, risk plans, and commercial inputs.
  • Oversee work from discovery through implementation, managing stakeholders, teams, risks, decisions, dependencies, and outcomes.
  • Coach teams and create reusable frameworks, assessments, benchmarks, playbooks, solution assets, accelerators, thought leadership, and market propositions.
  • Support hiring, mentoring, competency development, community building, and talent growth.

आवश्यकताएँ

  • Bring 12–16 years of experience in management consulting, revenue operations, commercial transformation, customer analytics, marketing analytics, data strategy, or a related field.
  • Independently engage C-suite and senior executives and lead complex, ambiguous transformation discussions.
  • Have experience in at least two areas: RevOps, sales transformation, marketing transformation, customer strategy, customer analytics, data and analytics strategy, or AI-led business transformation.
  • Translate business challenges into operating models, roadmaps, use-case portfolios, data and analytics solutions, and implementation programs.
  • Lead consulting engagements or transformation workstreams, including executive communication and stakeholder management.
  • Bring practical experience with proposals, RFPs, solution presentations, scope definition, staffing, effort and cost estimation, and commercial inputs.
  • Be able and willing to work in a hybrid model and travel frequently to New York Tri-State area and other client locations.
  • Hold a bachelor’s or master’s degree in business, engineering, economics, analytics, computer science, information systems, or a related field.
  • Demonstrate executive presence and a trusted-advisor mindset.
  • Apply management consulting methods and structured problem solving.
  • Show commercial awareness and consultative selling ability.
  • Use data to guide decisions and demonstrate analytical fluency.
  • Connect strategy, data, technology, processes, and operating models.
  • Communicate clearly with executives and present ideas compellingly.
  • Lead, coach, collaborate with, and take ownership alongside teams.
  • Work comfortably in ambiguous, complex, and fast-moving environments.

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