Sravp-Senior Engagement Manager

Key ResponsibilitiesClient Leadership & Executive EngagementBuild trusted relationships with client executives and senior business, data, digital, operations, engineering, supply chain, and technology leaders.
Independently lead steering committees, quarterly business reviews, transformation workshops, roadmap discussions, and executive working sessions.
Translate business priorities and operational challenges into analytics, data, AI, and digital transformation initiatives.
Present complex findings, recommendations, and investment cases through clear executive storytelling and data-driven narratives.
Act as the primary client-facing leader for strategic engagements and maintain alignment across client and EXL leadership teams.
Manufacturing & Automotive TransformationLead analytics and AI programs across manufacturing operations, supply chain, procurement, logistics, production planning, demand planning, and inventory optimization.
Shape solutions for quality analytics, warranty analytics, connected manufacturing, engineering analytics, plant performance, digital manufacturing, and industrial AI.
Identify high-value use cases supporting throughput, productivity, quality, cost, service, working capital, asset performance, safety, and sustainability outcomes.
Connect business priorities with practical operating-model, process, data, analytics, and technology interventions.
Data & AI TransformationDefine enterprise analytics and AI strategies, transformation roadmaps, and prioritized use-case portfolios.
Lead data-platform modernization, cloud migration, data engineering, data management, governance, quality, integration, and analytics enablement initiatives.
Guide solutions across descriptive, predictive, prescriptive, optimization, simulation, forecasting, root-cause analysis, and operational intelligence use cases.
Enable machine learning, generative AI, agentic AI, and decision-intelligence solutions through scalable and governed data foundations.
Partner with architects, engineers, data scientists, and business teams to ensure solutions are secure, scalable, adoptable, and tied to measurable outcomes.
Solutioning & Business DevelopmentLead solution design and consulting engagements for both focused initiatives and complex multi-workstream transformation programs.
Own or contribute to proposals, RFPs, RFIs, statements of work, executive pitches, and deal-shaping discussions.
Develop transformation roadmaps, delivery approaches, staffing models, workplans, effort estimates, cost estimates, assumptions, dependencies, and risks.
Present differentiated solutions to executive stakeholders and guide opportunities from qualification through closure and transition to delivery.
Collaborate with sales, account, industry, capability, architecture, and delivery leaders to expand strategic client relationships.
Account Growth & Commercial LeadershipProvide independent leadership for client portfolios and engagements valued up to $10M-$15M annually.
Develop account growth strategies and identify cross-sell and upsell opportunities across analytics, data, AI, GenAI, and transformation services.
Build executive relationships across multiple client functions and create a forward-looking opportunity pipeline.
Apply strong financial and commercial discipline to scope, pricing, margins, staffing, utilization, and delivery commitments.
Delivery LeadershipProvide executive oversight across multiple programs and workstreams from discovery through implementation and managed delivery.
Establish program governance, monitor risks and dependencies, and drive timely resolution of delivery and stakeholder issues.
Ensure high-quality outcomes, strong customer satisfaction, effective resource planning, and disciplined performance management.
Mentor delivery managers, engagement leads, solution architects, analytics leaders, and technical teams.
Capability Building & InnovationBuild and scale Manufacturing Analytics, Data, AI, and GenAI capabilities, solutions, and reusable assets.
Develop industry-specific frameworks, maturity assessments, accelerators, reference architectures, case studies, and points of view.
Contribute to hiring, team building, talent development, competency planning, and communities of practice.
Drive thought leadership and innovation across smart manufacturing, connected operations, digital thread, digital twins, industrial data, and AI-enabled decision-making.
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