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Data & Analytics leader

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Experience
18+ years of experience in data, analytics, AI, consulting, and enterprise transformation.
Posting language
English
Posted

Original job description

Are you passionate about transforming how organizations harness data to drive innovation and strategic growth? Join us as a Data & Analytics Leader and play a pivotal role in shaping the future of enterprise data solutions within the Banking, Financial Services, and Insurance sectors. This is your opportunity to lead large-scale transformation programs, influence executive decision-making, and build impactful data-driven strategies that deliver measurable value.

Overview

In this dynamic role, you'll work alongside senior clients and cross-functional teams to develop and execute cutting-edge data strategies. Your leadership will enable organizations to modernize their data ecosystems, adopt AI solutions, and establish governance frameworks - fueling enterprise-wide transformation and innovation.

Start Date: As soon as possible

Location: Toronto, ON Hybrid

Salary: 170000-200000

Key Responsibilities

  • Cultivate trusted relationships with CDOs, CIOs, CAIOs, and senior business executives.
  • Advise BFSI clients on enterprise data strategy, analytics transformation, AI adoption, governance, and modernization.
  • Translate complex business challenges into practical transformation roadmaps with clear investment priorities and measurable outcomes.
  • Lead strategic workshops, discovery sessions, and executive discussions to align goals and facilitate decision-making.
  • Drive growth for Data, Analytics, and AI services through opportunity identification, proposals, negotiations, and closing deals.
  • Shape consulting engagements, define solution directions, and develop delivery roadmaps that deliver tangible results.
  • Lead RFP responses and develop proactive, innovative proposals focused on client business outcomes.
  • Collaborate with account teams, partners, and vendors to identify new opportunities and develop comprehensive solutions.
  • Define future-state strategies across cloud data platforms, data products, AI/ML, GenAI, governance, and responsible AI initiatives.
  • Provide executive oversight from project mobilization through delivery, ensuring value realization and stakeholder satisfaction.
  • Lead and mentor diverse teams across locations, fostering a culture of innovation and continuous improvement.
  • Create reusable offerings, case studies, and reference architectures to support ongoing client success and business growth.

Must-Have Requirements

  • 18+ years of experience in data, analytics, AI, consulting, and enterprise transformation.
  • Expertise in enterprise data strategy, architecture, governance, and modernization.
  • Strong understanding of data engineering, including ETL/ELT, APIs, DataOps, and platform engineering.
  • Proven experience leading analytics, BI initiatives, and AI-driven business transformation.
  • Knowledge of cloud platforms such as Azure, AWS, GCP, and modern data solutions like Databricks, Snowflake.
  • Deep understanding of BFSI-specific requirements including compliance, security, and risk management.
  • Track record of leading global, cross-functional teams and engaging effectively with CXOs and senior leaders.
  • Bachelor’s degree in a relevant discipline.

Nice-to-Have Qualifications

  • Master’s degree, MBA, or relevant certifications in cloud, data, analytics, or AI fields.

This is more than a job - it's a chance to influence the future of enterprise data and analytics in a collaborative, innovative environment. Ready to lead transformation and make an impact? Apply now!
More about this job

Responsibilities

Lead enterprise data, analytics, and AI transformation engagements for banking, financial services, and insurance clients, advising senior executives and developing strategies, roadmaps, and solutions. Drive business growth, oversee delivery and value realization, and mentor cross-functional teams while developing reusable offerings and client materials.

Requirements

Requires 18 or more years of experience in data, analytics, AI, consulting, and enterprise transformation, along with expertise in data strategy, architecture, governance, modernization, and data engineering. Candidates must have experience leading analytics and AI transformations, knowledge of cloud platforms and modern data solutions, BFSI compliance and risk requirements, executive engagement, and a relevant bachelor's degree.

Skills

  • Enterprise Data Strategy
  • Data Architecture
  • Data Governance
  • Data Modernization
  • Data Engineering
  • ETL/ELT
  • APIs
  • DataOps
  • Analytics Transformation
  • Business Intelligence
  • Artificial Intelligence
  • Cloud Data Platforms
  • AI/ML
  • Generative AI
  • Responsible AI

Visa sponsorship

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Categories

  • Data & Analytics
  • Management & Leadership
  • Consulting
  • Technology
  • Finance & Accounting

Keywords

  • Banking, Financial Services, And Insurance
  • Enterprise Data Strategy
  • Data Architecture
  • Data Governance
  • Data Modernization
  • Data Engineering
  • ETL/ELT
  • APIs
  • DataOps
  • Platform Engineering
  • Analytics
  • Business Intelligence
  • Artificial Intelligence
  • AI/ML
  • Generative AI
  • Responsible AI
  • Azure
  • AWS
  • GCP
  • Databricks
  • Snowflake
  • Cloud Data Platforms
  • Compliance
  • Security
  • Risk Management
  • Enterprise Transformation
  • RFP Responses
  • Consulting
  • Cross-Functional Leadership

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