Senior Engagement Manager

EXL

. Build trusted relationships with client executives and senior business, data, digital, operations, engineering, supply chain, and technology leaders .

Posted 11/10/2026full-timeCanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading analytics, data, and AI transformation initiatives, with a strong focus on client engagement, strategic relationship management, and delivering high-quality outcomes. Proficient in developing and executing enterprise analytics strategies, leveraging advanced technologies, and fostering cross-functional collaboration.

Highest-signal resume keywords

Client-Facing Leadership ExperienceAnalytics and AI Program ManagementData Engineering and ManagementExecutive Storytelling and Presentation SkillsManufacturing Analytics Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine LearningGenerative AIAdvanced AnalyticsCloud Data PlatformsBusiness IntelligencePredictive MaintenanceOperational IntelligenceFinancial AcumenTransformation Roadmap Development

Soft Skills

Strategic ThinkingConsultative SellingInfluence and Presentation CapabilityTrusted-Advisor MindsetTeam Building and Mentoring

Tools & Technologies

AzureAWSGCPDatabricksSnowflakeMicrosoft FabricPower BITableauDigital TwinsIndustrial IoT

Industry Keywords

Manufacturing AnalyticsDigital TransformationSmart ManufacturingIndustry 4.0Connected OperationsSupply Chain ManagementAutomotive OEMHeavy EquipmentIndustrial ProductsAerospace

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformIoTSnowflakeTableau

About the role

Key responsibilities & impact

Build trusted relationships with client executives and senior business, data, digital, operations, engineering, supply chain, and technology leaders
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 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
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
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 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
Lead solution design and consulting engagements for 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
Develop account growth strategies and identify cross-sell and upsell opportunities across analytics, data, AI, GenAI, and transformation services
Apply financial and commercial discipline to scope, pricing, margins, staffing, utilization, and delivery commitments
Provide executive oversight across multiple programs and workstreams from discovery through implementation and managed delivery
Establish program governance, monitor risks and dependencies, and resolve delivery and stakeholder issues
Ensure high-quality outcomes, customer satisfaction, resource planning, and performance management
Mentor delivery managers, engagement leads, solution architects, analytics leaders, and technical teams
Build and scale Manufacturing Analytics, Data, AI, and GenAI capabilities, solutions, and reusable assets
Develop industry 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

Requirements

What you’ll need

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 connecting 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
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
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
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

Benefits

Comp & perks

No benefits, perks, or compensation extras are specified in the posting