Data & Analytics Leader - BFSI, AI Transformation
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 18+ years of experience across data, analytics, AI, consulting, and enterprise transformation, including leadership of large-scale programs.
- Posting language
- English
- Posted
Original job description
Data & Analytics Leader - BFSI, AI Transformation
The Opportunity
We are seeking an experienced Data & Analytics Leader to help shape and grow enterprise transformation programs across the financial services sector. This role brings together data strategy, analytics, AI, consulting, business development, executive advisory, and delivery leadership. You will work with senior stakeholders to define transformation priorities, shape large-scale opportunities, and guide teams from strategy through measurable value realization.
What You Will Do
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Build trusted relationships with business executives and senior technology leaders.
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Advise clients on enterprise data strategy, analytics transformation, AI adoption, governance, modernization, and operating models.
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Translate complex business challenges into practical transformation roadmaps, investment priorities, and measurable outcomes.
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Lead executive workshops, discovery sessions, steering committee discussions, and strategic client conversations.
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Drive growth for Data, Analytics, and AI services from opportunity identification and qualification through proposal, negotiation, and closure.
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Shape large consulting and transformation engagements, including solution direction, value proposition, commercial approach, and delivery roadmap.
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Lead RFPs and proactive proposals, ensuring solutions are differentiated, feasible, and focused on business outcomes.
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Build joint opportunities with account teams, alliance partners, technology providers, and consulting practices.
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Define target-state strategies across cloud data platforms, data products, analytics, AI/ML, GenAI, governance, and responsible AI.
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Provide executive oversight from opportunity shaping and mobilization through delivery, governance, and value realization.
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Lead and mentor consulting, architecture, engineering, analytics, and AI teams across locations.
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Develop reusable offerings, reference architectures, case studies, estimators, executive narratives, and delivery playbooks.
What You Bring
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18+ years of experience across data, analytics, AI, consulting, and enterprise transformation, including leadership of large-scale programs.
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Deep expertise in enterprise data strategy, data architecture, governance, operating models, data products, and data modernization.
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Strong understanding of data engineering, including ETL/ELT, integration, APIs, orchestration, data quality, observability, DataOps, and platform engineering.
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Experience leading analytics and BI initiatives, including enterprise reporting, self-service analytics, semantic layers, advanced analytics, and decision intelligence.
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Knowledge of AI, machine learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
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Experience defining enterprise solutions across cloud platforms, Databricks, Snowflake, and other modern data platforms.
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Strong knowledge of financial services requirements, including regulatory compliance, privacy, security, resilience, auditability, and risk management.
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Proven success in consulting, business development, presales, solutioning, opportunity qualification, proposals, pricing support, and executive stakeholder management.
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Ability to lead global, cross-functional teams and engage effectively with senior business leaders.
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Bachelor's degree in a relevant discipline. A master's degree, MBA, and relevant cloud, architecture, data, analytics, AI, or program certifications are preferred.
More about this job
Responsibilities
Advise financial services clients on data, analytics, AI, governance, and modernization strategies, translating business challenges into transformation roadmaps and measurable outcomes. Lead opportunity development and consulting engagements from executive discovery and proposal shaping through delivery oversight, team leadership, and value realization.
Requirements
Requires 18+ years of experience in data, analytics, AI, consulting, and enterprise transformation, with deep expertise in data strategy, architecture, governance, engineering, analytics, and modern cloud platforms. Candidates should have financial services knowledge, proven consulting and business development leadership, a bachelor's degree, and the ability to lead global teams; a master's degree, 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
- Financial Services Compliance
- Consulting and Business Development
- Presales and Solutioning
- Executive Stakeholder Management
- Program Leadership
- Responsible AI
- Team Leadership and Mentoring
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Consulting
- Technology
- Finance & Accounting
Keywords
- Financial Services
- Enterprise Data Strategy
- Data Architecture
- Data Governance
- Data Products
- Data Modernization
- Data Engineering
- ETL/ELT
- APIs
- Data Quality
- DataOps
- Platform Engineering
- Analytics
- Business Intelligence
- Decision Intelligence
- Artificial Intelligence
- Machine Learning
- Generative AI
- Agentic AI
- MLOps/LLMOps
- Responsible AI
- Cloud Data Platforms
- Databricks
- Snowflake
- Regulatory Compliance
- Privacy
- Risk Management
- Consulting
- Business Development
- Executive Stakeholder Management