Posted 13 days ago
SrAVP-Senior Engagement Manager
@ EXL Talent Acquisition Team
Canada
Overview
EXL Talent Acquisition Team is hiring a Senior Engagement Manager to lead client executive relationships, analytics and AI transformation programs, and solutioning for manufacturing and automotive clients. The role owns portfolios up to $10M-$15M annually, combines business development with delivery oversight, and requires 12-18 years of experience, including five years of client-facing leadership.
Responsibilities:
- Lead client executive engagements and transformation workshops
- Lead analytics and AI programs for manufacturing operations
- Shape solutions and lead proposals, RFPs and SOWs
- Manage client portfolios up to $10M-$15M annually
- Oversee delivery across multiple programs and mentor teams
Requirements summary:
- 12-18 years of experience in analytics, data, AI or consulting
- At least five years of client-facing leadership
- Bachelor's or master's degree in engineering, computer science, data, business or related field
- Experience leading steering committees and executive discussions
- Strong understanding of the data and AI lifecycle
- Manufacturing or automotive experience highly desirable
Tools & skills
Source and dates
Employer career site / ATS feed · oraclecloud
- Employer posting date
- 2026-10-27
- First seen by our source
- 2026-10-27
- Source record updated
- 2026-10-27
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Business development |
| Experience | 12+ years |
| Management experience | 5+ years |
| Manages people | Yes |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Engineering, Computer science, Data, Analytics, Operations |
Summary and details written by AI from the posting; the employer’s posting is the authority.
EXL Talent Acquisition Team
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
- LinkedIn followers
- 2,037,193
- People associated on LinkedIn
- 51,202
- Reported office locations
- 320 Park Avenue, 29th Floor, New York, NY 10022, US
- 10 Exchange Pl, Jersey City, NJ 07302, US
- Business categories
- Information Technology
- Health Care
- Banking
- Consulting
- Management Consulting
- Analytics
- Outsourcing
- Other recorded names
- EXL Service
- EXL
- EXL Talent Acquisition Team
- Specialties
- Operations Management
- Decision Analytics
- Technology Platforms
- Healthcare
- Finance & Accounting
- Insurance
- Risk & Financial Management
- Travel
- Transportation and logistics
- Banking and Financial Services
- Operations & Process Excellence
- Utilities
- Analytics
- Digital Transformation
- Management Consulting
- Finance Transformation
- IT Audit
- Artificial Intelligence
- Automation
- Robotics
- Machine Learning
- and NLP
- Profile identifies a recruitment agency
- No
- Reported total investment
- 1,150,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 10,001+ employees |
| Headquarters | New York, NY |
| Organization type | Public Company |
| Specialties | Operations ManagementDecision AnalyticsTechnology PlatformsHealthcareFinance & AccountingInsuranceRisk & Financial ManagementTravelTransportation and logisticsBanking and Financial Services |
| Open jobs on Jobsy | 13 |
| View page |
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.
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
Journal
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