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Data & Analytics Leader- Consulting/Managing Partner) (CDO Like ) : Toronto, ON : Hybrid

  • Toronto, ON, Canada

Salary range : CAD $ 140 K/Base +Benifts. · Full-time

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Salary range : CAD $ 140 K/Base +Benifts.
Job type
Full-time
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English
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Original job description

Job Role : Data & Analytics Leader- Consulting/Managing Partner) (CDO Like )

Location : Toronto, ON (Hybrid)

Experience: 18+ years of experience

Job Type : Full time Permanent

Salary range : CAD $ 140 K/Base +Benifts.

  • Experience Range:

18+ years of experience in Data, Analytics & AI, including 10+ years in Data/Application Architecture and 5+ years in Business Development, Presales, Consulting or Growth Leadership roles.

Must Have Technical/Functional Skills:

18+ years of experience in Data, Analytics, AI, Consulting, and Enterprise Data Transformation, with proven success in business growth and large-scale transformation programs.

  • Strong expertise in Enterprise Data Strategy, Data Architecture, Operating Models, Data Products, Data Governance, and Data Modernization
  • Proven experience in delivering ROI and Business Outcomes to customers across the Data to Insights value chain
  • Demonstrates deeper understanding of Data Engineering, including ETL/ELT, data integration, APIs, data quality, orchestration, observability, DataOps, and platform engineering.
  • Experience leading Analytics and Business Intelligence initiatives, including enterprise reporting, self-service analytics, semantic layers, advanced analytics, and decision intelligence.
  • Strong knowledge of AI, Machine Learning, Generative AI, Agentic AI, MLOps/LLMOps, Responsible AI, and AI-driven business transformation.
  • Proven experience defining and delivering enterprise-scale solutions on Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
  • Strong understanding of BFSI domain requirements, including regulatory compliance, data privacy, security, resilience, auditability, and risk management.
  • Demonstrated success in consulting, business development, pre-sales, solutioning, opportunity qualification, proposal development, pricing support, and executive-level stakeholder management.
  • Proven ability to lead large cross-functional teams, drive transformation programs, and engage effectively with CXOs and senior business leaders.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data, Business, or a related discipline.
  • Master's Degree or MBA preferred.
  • Preferred certifications in Cloud, Enterprise Architecture, Data Management, Analytics, AI, Program Management, or Executive Leadership.

Roles & Responsibilities:

Build trusted relationships with CDOs, CIOs, CAIOs, business executives, and senior technology leaders.

  • Advise BFSI clients on enterprise data strategy, analytics transformation, AI adoption, governance, operating models, and modernization priorities.
  • Translate business challenges into practical transformation roadmaps, investment priorities, and measurable outcomes.
  • Lead executive workshops, discovery sessions, steering committee discussions, and strategic client conversations.
  • Drive growth for Data, Analytics & AI services from opportunity identification and qualification through proposal, negotiation, and closure.
  • Shape large consulting and transformation engagements, including solution direction, value proposition, commercial approach, and delivery roadmap.
  • Lead RFPs and proactive proposals, ensuring solutions are differentiated, feasible, and outcome-focused.
  • Build joint opportunities with account teams, alliance partners, technology providers, and consulting practices.
  • Define target-state strategies across cloud data platforms, data products, analytics, AI/ML, GenAI, governance, and responsible AI.
  • Recommend practical modernization approaches across Azure, AWS, GCP, Databricks, Snowflake, and other relevant platforms.
  • Ensure transformation decisions address scalability, security, privacy, resilience, cost, and regulatory requirements.
  • Provide executive oversight from opportunity shaping and mobilization through delivery and value realization.
  • Establish governance across scope, milestones, risks, dependencies, commercial commitments, quality, and stakeholder communication.
  • Ensure a structured transition from presales to delivery with clear commitments, success measures, and ownership.
  • Lead and mentor consulting, architecture, engineering, analytics, and AI teams across locations.
  • Support senior talent hiring, capability development, succession planning, and mentoring.
  • Develop reusable offerings, reference architectures, case studies, estimators, executive narratives, and delivery playbooks.
  • Represent the practice with clients, partners, and internal leadership as a trusted voice for BFSI Data, Analytics & AI transformation.
  • Generic Managerial Skills, If any

Strong executive leadership and stakeholder management skills with the ability to engage effectively with CXOs, business leaders, and technology teams.

  • Excellent communication, presentation, and influencing skills across business, technical, and executive audiences.
  • Strong consulting and strategic thinking capabilities with the ability to drive business outcomes and transformation initiatives.
  • Proven ability to lead large cross-functional and global teams across consulting, architecture, engineering, analytics, and delivery functions.
  • Strong business acumen with experience in growth strategy, opportunity development, solutioning, and executive decision-making.
  • High ownership, accountability, integrity, and commitment to delivering successful client outcomes.
  • Experience mentoring senior leaders, architects, and consultants while building high-performing teams and future capabilities.
  • Ability to manage multiple strategic priorities, complex stakeholder landscapes, and large transformation programs.
  • Strong governance, risk management, and escalation management skills across large-scale engagements.

Adaptability to operate effectively in fast-paced environments with evolving business priorities and emerging technologies.

More about this job

Responsibilities

Advise BFSI clients and senior executives on data strategy, analytics and AI transformation, governance, operating models, and modernization, translating business needs into practical roadmaps and measurable outcomes. Lead growth and consulting engagements from opportunity development and proposals through delivery oversight and value realization, while building teams, capabilities, and reusable offerings.

Requirements

Requires 18+ years of experience in data, analytics, AI, consulting, and enterprise transformation, including substantial architecture experience and at least five years in business development, presales, consulting, or growth leadership. Candidates should bring expertise in enterprise data platforms, cloud technologies, BFSI requirements, executive engagement, and cross-functional leadership; a relevant bachelor's degree is required, while a master's degree or MBA and relevant certifications are preferred.

Skills

  • Enterprise Data Strategy
  • Data Architecture
  • Data Governance
  • Data Modernization
  • Data Engineering
  • Analytics And Business Intelligence
  • Artificial Intelligence And Machine Learning
  • Generative AI
  • Cloud Data Platforms
  • BFSI
  • Business Development
  • Consulting
  • Solutioning And Presales
  • Executive Stakeholder Management
  • Team Leadership

Visa sponsorship

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Categories

  • Data & Analytics
  • Management & Leadership
  • Consulting
  • Technology
  • Sales

Keywords

  • Enterprise Data Strategy
  • Data Architecture
  • Data Products
  • Data Governance
  • Data Modernization
  • ETL/ELT
  • Data Integration
  • APIs
  • Data Quality
  • Orchestration
  • DataOps
  • Business Intelligence
  • Self-Service Analytics
  • Semantic Layers
  • Advanced Analytics
  • Machine Learning
  • Generative AI
  • Agentic AI
  • MLOps/LLMOps
  • Responsible AI
  • Azure
  • AWS
  • GCP
  • Databricks
  • Snowflake
  • BFSI
  • Regulatory Compliance
  • Presales
  • RFPs
  • Cloud Data Platforms

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