SrAVP-Senior Engagement Manager
EXL · Canada
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.