Jobs in Canada

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Added 2 days ago
M
Senior Director, Database & Operations
McKesson
Mississauga, ON
- Full-time
Serve as primary advisor to senior leadership on modernization, automation, cloud, and transformation strategies.
Added 4 days ago
Sr AVP- Sr Engagement Manager
EXL
Canada
Lead data-platform modernization, cloud migration, data engineering, data management, governance, quality, integration, and analytics enablement initiatives.
Added 17 days ago
C
AVP Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Rapid adoption of AI toolkits in line with the firm’s strategy of modernization of the development process.
Added 29 days ago
DU
Category Lead, Procurement
Dalhousie University
Halifax, NS
- Full-time
As the University continues to invest in modernization and operational excellence, procurement has become an increasingly strategic function supporting teaching, research, technology, and…
Added 1 month ago
Sr Dir, Finance Consolidation
Rogers Communications
Toronto, ON
Serve as a strategic advisor to business and finance leaders by providing forward-looking insights and recommendations.
Added 1 month ago
E
Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
…innovation, and sustainable growth. We are looking for a Sr. Advisor, Data Modernization to lead the delivery of the Liquids Pipelines data modernization roadmap and transform complex…
Added 1 month ago
Sr. Manager, IT Audit
Open Text Corporation
Mississauga, ON
Support strategic initiatives including finance transformation, ERP modernization, cloud migrations, and digital transformation programs.
Added 1 month ago
O
Sr. Manager, IT Audit
OpenText
Mississauga, ON
- Full-time
Support strategic initiatives including finance transformation, ERP modernization, cloud migrations, and digital transformation programs.
Added 2 months ago
Architecte de solutions sénior | Sr. Solution Architect, Enterprise Industries
Amazon
Montreal, QC
…seeking a Solutions Architect to act as a trusted technical advisor, helping customers design and build scalable, secure, and innovative cloud solutions by working backward from their…
Added 2 months ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant – Application Modernization, to join our team at Amazon Web Services (AWS). In this…
Added 2 months ago
AG
Sr. Manager, Enterprise System
Allied Gold Corporation
Toronto, ON
- Full-time
The Sr. Manager, Enterprise Systems collaborates closely with business leaders, operational stakeholders, Data & Analytics and cybersecurity teams, and external partners to ensure…
Added 3 months ago
MF
Enterprise Architect APM, IE&O
McCain Foods
Toronto, ON
- Full-time
…continues its S/4HANA transformation, cloud migration, enterprise data platform evolution, operational technology modernization, and AI growth…
Added 2 months ago
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Enterprise Architect APM, IE&O
''
Toronto, ON
- Full-time
- Other
…continues its S/4HANA transformation, cloud migration, enterprise data platform evolution, operational technology modernization, and AI growth…
Added 2 months ago
FC
Technical Architect Sr
Fidelity Canada
Mississauga, ON · Toronto, ON
- Full-time
…spectrum of technologies and business focus areas including AI, data warehouse, data integration, master data, big data, cloud services, data governance and quality, security, and…

No more jobs.

EXL

Sr AVP- Sr Engagement Manager

Canada

Apply on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com About employer

Applications open in a new tab.

Job details

Experience: 12-18 years of experience across analytics, data, AI, digital transformation, management consulting, or technology-enabled business transformation.
Posting language: English
Posted: Nov 9, 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.

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

Responsibilities

Lead analytics function at senior level, develop comprehensive strategies, oversee large projects, mentor senior managers, ensure alignment with objectives.

Qualifications

Bachelor�s degree in Business, Statistics, Mathematics, or a related field. MBA or Master�s degree preferred. 12-14 years of experience in analytics, data science, or related fields.

Apply on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com About employer

More about this job

Responsibilities

Lead strategic client relationships and executive engagements while shaping and delivering analytics, data, AI, and digital transformation programs, particularly for manufacturing and automotive clients. Oversee solution development, commercial growth, program delivery, and capability building across multidisciplinary teams.

Requirements

Requires 12–18 years of experience in analytics, data, AI, consulting, or technology-enabled transformation, including at least five years in client-facing leadership and experience managing large engagements. A bachelor’s or master’s degree in a relevant discipline is specified, along with executive communication, commercial, data and AI lifecycle, and multidisciplinary team leadership capabilities.

Skills

Client Leadership
Executive Engagement
Manufacturing Analytics
Data Strategy
Artificial Intelligence
Generative AI
Digital Transformation
Supply Chain Optimization
Cloud Data Platforms
Data Engineering
Data Governance
Machine Learning
Solution Architecture
Consultative Selling
Program Management
Account Growth

Visa sponsorship

Not detected in the job text

Keywords

Manufacturing Analytics
Automotive
Supply Chain
Procurement
Logistics
Production Planning
Demand Planning
Inventory Optimization
Quality Analytics
Warranty Analytics
Connected Manufacturing
Industrial AI
Data Engineering
Data Governance
Cloud Migration
Azure
AWS
GCP
Databricks
Snowflake
Microsoft Fabric
Power BI
Tableau
Machine Learning
Generative AI
Agentic AI
Industry 4.0
Digital Twins
Industrial IoT
Predictive Maintenance

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Jobs in Canada