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Added 1 min ago
MS
Dynamics 365 Consultant
Marberg Staffing
Toronto, ON · North York, ON
- $80 to $90 CAD / hour
- Temporary
Demonstrated understanding of the Microsoft ecosystem surrounding D365, including Azure and Power Platform.
Added 1 min ago
RI
Senior Cloud Engineer
Raas Infotek
Toronto, ON · Scarborough, ON
- Contract
Experience managing and supporting Microsoft Azure Infrastructure.
Added 16 mins ago
SI
Senior Software Developer
Staples Inc.
Richmond Hill, ON
- Full-time
We are seeking a highly skilled Senior Software Developer to join our dynamic team. The ideal candidate will have extensive experience in C#, .NET, Web Services, WCF, Web API, Microsoft…
Added 31 mins ago
C
Senior AI Scientist
CIBC
Toronto, ON
- Full-time
…and working with frameworks such as LangChain, LangGraph, or Microsoft Agent Framework. You have applied tool calling, memory, evaluation, and guardrails to support secure and reliable use…
Added 1 hour ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
Hands-on experience with Microsoft Fabric (or equivalent platform), or a strong Azure data estate (e.g. Azure Data Factory, Synapse) with the appetite to specialise in Fabric.
Added 1 hour ago
E
Senior Engagement Manager
EXL
Canada
- Full-time
Build trusted relationships with client executives and senior business, data, digital, operations, engineering, supply chain, and technology leaders.
Added 1 hour ago
LH
2600001909 - Sr. Digital Solutions Developer
Lakeridge Health
Whitby, ON
- Internship
The Senior Digital Solutions Developer is responsible for the design, development, implementation, governance, and optimization of enterprise digital solutions that support organizational…
Added 1 hour ago
AP
Senior Systems and Network Administrator Business Technology (Vancouver, BC)
Anthem Properties
Vancouver, BC
- Full-time
Relevant certifications (e.g., Azure Administrator, Microsoft 365 Administrator, Sophos, Veeam, CompTIA Network+/Security+)
Added 1 hour ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON
- Contract
Added 1 hour ago
BR
Java Software Engineer
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
Job Title: Senior Java Backend Engineer – Cloud & Data
Added 1 hour ago
T
Manager, Delivery Lead / Project Manager - Gen AI and Software Delivery
Toast
Montreal, QC
- $103,000 to $150,000 USD / year
- Full-time
Hands-on experience with tools like Jira, Azure DevOps, Microsoft Project or Smartsheet
Added 2 hours ago
AW
Data Analyst III
Agilus Work Solutions
Calgary, AB
- Contract
Industry-recognized certifications in cloud analytics or applied analytics are an asset (e.g., Databricks Data Engineer, Microsoft Azure Data Engineer, Certified Analytics Professional)
Added 2 hours ago
SH
Technical Support Coordinator – 2-Month Fixed-Term (Markham, On-Site)
Sentrex Health Solutions
Markham, ON
- Full-time
The Technical Support Coordinator is a member of the Sentrex IT department reporting to the Senior Manager, IT Operations and Infrastructure and is focused on ensuring that employee…
Added 3 hours ago
System Architect - Krembil Centre for Neuroinformatics
CAMH
Toronto, ON
Define integration and interoperability strategies for connecting platform components with third-party services, APIs, partner systems, and CAMH's on-premises and Azure-based services.
Added 3 hours ago
R
Senior DevSecOps and Application Security SME
Raise
Vancouver, BC
- Full-time
The Senior DevSecOps and Application Security SME supporting the AppSec Testing Maturity work programin this role will implement and optimize application security capabilities across GitHub…
Added 3 hours ago
SM
RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior DevOps/Cloud Engineer with extensive experience in Microsoft Azure, CI/CD pipelines, deployment automation, infrastructure as code, cloud operations, and enterprise…
Added 3 hours ago
M
Senior Advisor Analytics
Manpower
Calgary, AB
- Contract
Industry-recognized certifications in cloud analytics or applied analytics are an asset (e.g., Databricks Data Engineer, Microsoft Azure Data Engineer, Certified Analytics Professional).
Added 4 hours ago
BR
Senior Sql Database Administrator
BITS Recruiting
Toronto, ON
- Contract
The successful candidate will have strong hands-on experience administering Microsoft SQL Server databases in both on-premises and Microsoft Azure cloud environments, including database…
Added 5 hours ago
D
Senior Manager, BT Applications
Diligent
Vancouver, BC
- Full-time
Strong background in IT platform engineering for enterprise tools such as the Atlassian suite and Microsoft 365/Azure (or comparable), including configuration, integration, automation,…
Added 5 hours ago
C
Pre-Sales D365 / ERP Solutions Architect
Centrilogic
Canada
- Full-time
Incorporate Microsoft Azure cloud architecture principles to design scalable, secure, and efficient solutions.
Added 5 hours ago
TC
Senior Project Manager
TechNeptune Consulting Inc.
Toronto, ON · North York, ON
- Contract
Experience using Azure DevOps (MS DevOps) and MS Teams for project execution
Added 5 hours ago
FS
BI Engineer
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
This Toronto-based role reports to the Senior Business Intelligence Engineer and collaborates with internal stakeholders, project sponsors, technical teams, Four Seasons IT, external…
Added 6 hours ago
SO
Cyber Security Architect
Supply Ontario
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Prepare and present strategic security KPI's and intelligence briefings for senior management.
Added 6 hours ago
E
Vice President of Technology and Data
Equiton
Burlington, ON
- Full-time
Deep experience with the Microsoft ecosystem (Microsoft 365, Azure, Entra ID, Power Platform) is required; experience leading a CRM migration (HubSpot preferred) or with AWS is an asset.
Added 7 hours ago
XI
Senior Engineering Manager
Xplore Inc.
Markham, ON
- Full-time
We are looking for an experienced Senior Engineering Manager to lead and grow a team of software developers as we embark on a company-wide transformation. This is your chance to use…

EXL

Senior Engagement Manager

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 13, 2026
Experience: 12-18 years of experience across analytics, data, AI, digital transformation, management consulting, or technology-enabled business transformation.
Posting language: English
Posted: Oct 27, 2026

Original job description

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

Apply About employer

More about this job

Responsibilities

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.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Analytics
Artificial Intelligence
Digital Transformation
Manufacturing
Automotive
Supply Chain
Cloud Migration
Data Engineering
Generative AI
Machine Learning
Management Consulting
Industry 4.0
Azure
AWS
GCP
Databricks
Snowflake
Power BI
Tableau
Digital Twins
Industrial IoT
Strategic Roadmap
Executive Storytelling
Commercial Leadership
Program Governance
Business Intelligence
Predictive Analytics
Optimization
Change Management
Stakeholder Engagement

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