SrAVP-Senior Engagement Manager

Job summary

The Senior Engagement Manager will lead strategic client relationships and drive large-scale analytics, AI, and digital transformation programs within the manufacturing and automotive sectors. They are responsible for executive storytelling, business development, and ensuring high-quality delivery across complex, multi-workstream engagements.

Job details

Key Responsibilities Client Leadership & Executive Engagement * Build 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 Transformation * Lead 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 Transformation * Define 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 Development * Lead 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 Leadership * Provide 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 Leadership * Provide 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 & Innovation * Build 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. QUALIFICATIONS * Required Experience & Qualifications * 12-18 years of experience across analytics, data, AI, digital transformation, management consulting, or technology-enabled business transformation. * At least five years of client-facing leadership experience across analytics, data, AI, or transformation engagements. * Proven ability to independently manage strategic client relationships and portfolios or engagements valued up to $10M-$15M annually. * Experience leading executive discussions, steering committees, transformation workshops, roadmap development, and solution presentations. * Demonstrated ability to create compelling executive stories that connect data and analytical insights to business priorities and financial outcomes. * Strong understanding of the end-to-end data and AI lifecycle, including data engineering, data management, cloud data platforms, business intelligence, advanced analytics, machine learning, generative AI, deployment, governance, and adoption. * Experience leading proposals, RFPs, solution architecture, staffing, effort estimation, cost estimation, commercial inputs, and transition planning. * Ability to lead multidisciplinary teams across business consulting, data engineering, analytics, AI, architecture, program management, and change enablement. * Bachelor’s or master’s degree in engineering, computer science, data, analytics, operations, business, or a related discipline. Industry Experience * Preferred experience in Manufacturing Analytics, Automotive, Mobility, Industrial Manufacturing, Heavy Equipment, Industrial Products, Aerospace, Transportation, or related manufacturing-intensive sectors. * Automotive OEM, Tier 1 supplier, connected vehicle, manufacturing engineering, plant operations, supply chain, quality, warranty, or aftersales experience is highly desirable. * Experience working with large, complex global manufacturers or industrial enterprises with distributed plants, functions, and technology environments. Preferred Qualifications * Experience supporting organizations such as automotive OEMs, automotive suppliers, industrial manufacturers, equipment manufacturers, or engineering-intensive enterprises. * Experience with Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, Power BI, Tableau, or comparable data and analytics ecosystems. * Exposure to smart manufacturing, Industry 4.0, connected factory, digital thread, digital twins, predictive maintenance, industrial IoT, and manufacturing execution environments. * Experience shaping or leading GenAI use cases in engineering, manufacturing, supply chain, quality, warranty, service, knowledge management, or commercial operations. * * Experience building an industry offering, center of excellence, reusable assets, strategic partnerships, or high-performing multidisciplinary teams. Leadership Competencies * Executive presence and trusted-advisor mindset * Consultative selling and commercial orientation * Executive storytelling, influence, and presentation capability * Manufacturing and operational business acumen * Strategic thinking with strong execution discipline * Financial acumen and account-growth mindset

What you’ll do

The Senior Engagement Manager will lead strategic client relationships and drive large-scale analytics, AI, and digital transformation programs within the manufacturing and automotive sectors. They are responsible for executive storytelling, business development, and ensuring high-quality delivery across complex, multi-workstream engagements.

Requirements

Candidates must possess 12-18 years of experience in analytics, data, AI, or management consulting with at least five years of client-facing leadership. A bachelor's or master's degree in a relevant field is required, along with proven ability to manage portfolios valued up to $15M annually.

Listed skills

• Supply chain management · Preferred
• Stakeholder Management · Preferred
• Business development · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Client Leadership
• Executive Engagement
• Data Analytics
• Artificial Intelligence
• Digital Transformation
• Manufacturing Operations
• Supply Chain Management
• Strategic Planning
• Business Development
• Account Growth
• Program Management
• Solution Architecture
• Financial Acumen
• Stakeholder Management
• Change Enablement
• Consulting
• Data Analysis
• Business Intelligence
• Root Cause Analysis
• Power BI
• Presentations
• Data Engineering
• Performance Management
• Planning
• Governance
• Operations
• Predictive Maintenance
• Procurement
• Business Acumen
• Influencing Skills
• Strategic Thinking
• Leadership
• Decision Making
• Innovation
• Investments
• Talent Development
• Machine Learning
• Snowflake (Data Warehouse)
• Amazon Web Services
• Generative Artificial Intelligence
• Strategic Partnership
• Smart Manufacturing
• Sales
• Customer Service
• Solution Design
• Data Management
• Transition Planning
• Request For Proposal
• Technology Ecosystems
• Forecasting

Job areas

• Consulting
• Management & Leadership
• Data & Analytics
• Manufacturing
• Technology
• Engagement Manager
• IT Manager
• Information and Communications Technology Service Managers
• Information Technology Project Managers
• Computer Occupations, All Other

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