Data & Analytics Consulting Leader

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 2, 2026
Experience: At least 18 years of professional experience spanning Data, Analytics, AI, and Consulting, with a demonstrated history of business growth and enterprise transformation delivery.
Posting language: English
Posted: Nov 2, 2026

Original job description

N2P Systems is seeking an experienced Data & Analytics Consulting Leader to join our enterprise technology delivery team in Toronto, Ontario, Canada. At N2P Systems, you will put 10+ years of hands-on experience with Enterprise Data Strategy, Enterprise Data Architecture and Data Governance to work on mission-critical enterprise systems. This is an existing full-time, hybrid vacancy with N2P Systems.

N2P Systems is seeking an accomplished Data & Analytics Consulting Leader to drive enterprise transformation, strategic consulting, and business growth across the Banking, Financial Services, and Insurance (BFSI) sector. This senior leadership position combines enterprise data strategy, analytics, artificial intelligence, cloud modernization, and consulting expertise.

The successful candidate will shape strategic client relationships, identify business opportunities, lead complex transformation engagements, and translate enterprise challenges into measurable business outcomes. The role requires substantial experience in Data, Analytics, AI, and consulting, alongside a proven record of growing business and delivering large-scale transformation programs.

N2P Systems uses AI to help screen and assess applications for this role. N2P Systems is an enterprise technology consulting and digital solutions firm operating across Canada, the United States and India.

Key Responsibilities

Develop strategic relationships with Chief Data Officers, CIOs, Chief AI Officers, business executives, and senior technology stakeholders.
Advise BFSI organizations on enterprise data strategy, analytics transformation, AI adoption, governance frameworks, operating models, and modernization initiatives.
Convert business challenges into actionable transformation roadmaps, investment priorities, and measurable business outcomes.
Facilitate executive workshops, discovery meetings, steering committees, and strategic client discussions.
Drive Data, Analytics, and AI business growth, covering opportunity identification, qualification, proposals, commercial negotiations, and deal closure.
Shape large consulting and transformation engagements by defining solution direction, value propositions, commercial strategies, and delivery roadmaps.
Lead RFP responses and proactive proposals, ensuring solutions are differentiated, commercially viable, and outcome-oriented.
Develop collaborative business opportunities with account teams, technology partners, alliance partners, and consulting practices.
Define target-state enterprise architectures and strategies spanning cloud data platforms, data products, analytics, AI/ML, Generative AI, governance, and Responsible AI.
Recommend modernization strategies involving leading cloud providers, data platforms, and emerging technologies.
Ensure enterprise transformation initiatives address scalability, security, privacy, resilience, cost optimization, and regulatory obligations.
Provide executive oversight throughout opportunity development, engagement mobilization, delivery, and business value realization.
Establish governance mechanisms covering project scope, milestones, dependencies, risks, commercial commitments, quality, and stakeholder communication.
Ensure effective transition from pre-sales to delivery, with clearly defined ownership, commitments, and success criteria.
Lead and mentor multidisciplinary consulting, architecture, engineering, analytics, and AI teams across different locations.
Contribute to senior talent acquisition, capability development, succession planning, and leadership mentoring.
Create reusable consulting offerings, reference architectures, case studies, estimation models, executive presentations, and delivery playbooks.
Represent the practice in strategic client, partner, and internal leadership engagements.
Develop strategic reference customers and contribute to sustainable revenue growth.

Required Skills & Qualifications

At least 18 years of professional experience spanning Data, Analytics, AI, and Consulting, with a demonstrated history of business growth and enterprise transformation delivery.
Strong expertise in enterprise data strategy, architecture, operating models, data products, governance, and modernization.
Demonstrated success in delivering measurable ROI and business outcomes across the complete Data-to-Insights value chain.
Strong understanding of data engineering disciplines, including ETL/ELT, integration, APIs, data quality, orchestration, observability, and platform engineering.
Experience directing enterprise analytics and business intelligence initiatives, including reporting, self-service analytics, semantic layers, and decision intelligence.
Broad understanding of AI, Machine Learning, Generative AI, Agentic AI, MLOps/LLMOps, Responsible AI, and enterprise AI transformation.
Experience defining and delivering enterprise-scale solutions using modern cloud data platforms and technologies.
Strong understanding of BFSI requirements, particularly regulatory compliance, data privacy, security, resilience, auditability, and risk management.
Established experience in consulting, business development, pre-sales, solution development, opportunity qualification, proposal development, and commercial support.
Demonstrated ability to lead large, geographically distributed teams and manage complex enterprise transformation programs.
Bachelor's degree in Computer Science, Engineering, Information Systems, Data, Business, or a related discipline.

Preferred Qualifications

Master's degree or MBA.
Experience with Azure, AWS, GCP, Databricks, and Snowflake.
Exposure to Agentic AI, MLOps, LLMOps, Responsible AI, and emerging enterprise AI capabilities.
Professional certifications in cloud technologies, enterprise architecture, data management, analytics, AI, program management, or executive leadership.

Apply directly at: https://www.n2psystems.com/jobs/REQ-43710

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More about this job

Responsibilities

Build strategic relationships with BFSI executives, advise clients on data, analytics, AI, governance, and modernization, and develop transformation roadmaps tied to measurable business outcomes. Drive consulting growth and complex engagements from opportunity development through delivery, while overseeing multidisciplinary teams, governance, and client value realization.

Requirements

Requires at least 18 years of experience across data, analytics, AI, and consulting, with a record of business growth and enterprise transformation delivery. Candidates need strong expertise in data strategy and architecture, engineering, analytics, AI, cloud platforms, BFSI requirements, commercial consulting, and leadership; a bachelor's degree in a relevant discipline is required, while a master's degree or MBA is preferred.

Skills

Enterprise Data Strategy
Enterprise Data Architecture
Data Governance
Data Engineering
Analytics Transformation
Artificial Intelligence
Machine Learning
Generative AI
Cloud Data Platforms
Business Intelligence
Consulting
Business Development
Solution Development
Program Leadership
BFSI Regulatory Compliance
Team Leadership

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Strategy
Enterprise Data Architecture
Data Governance
Data Products
Data Engineering
ETL/ELT
Data Integration
APIs
Data Quality
Data Orchestration
Data Observability
Platform Engineering
Analytics
Business Intelligence
Semantic Layers
Decision Intelligence
Artificial Intelligence
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Responsible AI
Cloud Modernization
Azure
AWS
GCP
Databricks
Snowflake
BFSI

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