Data & Analytics Leader - BFSI, AI Transformation

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; In loco; CAD 150.000 - 190.000; Tempo pieno

Descrizione del lavoro

Astra-North Infoteck Inc. is seeking an experienced Data & Analytics Leader to shape and grow enterprise transformation programs across the financial services sector.

This role combines data strategy, analytics, AI, consulting, business development, executive advisory, and delivery leadership. You will collaborate with senior stakeholders to define priorities and guide teams from strategy to value realization.

Competenze

• 18+ years of experience in data, analytics, AI, consulting, and enterprise transformation.
• Strong expertise in data strategy, architecture, governance, and operating models.
• Experience leading large, cross-functional programs and executive advisory work.

Mansioni

• Build trusted relationships with executives and senior technology leaders.
• Advise on enterprise data strategy, analytics transformation, and AI adoption.
• Translate business challenges into transformation roadmaps and measurable outcomes.
• Lead executive workshops, steering committees, and client conversations.

Conoscenze

Leadership

Strategic thinking

Stakeholder management

Communication

Business development

Proposal development

Formazione

Bachelor's degree in a relevant discipline

Master's degree / MBA preferred

Strumenti

Databricks

Snowflake

APIs

DataOps tooling

Descrizione del lavoro

TheOpportunity

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.

WhatYouWillDo

• Build trusted relationships with business executives and senior technology leaders.
• Advise clients on enterprise data strategy, analytics transformation, AI adoption, governance, modernization, and operating models.
• Translate complex 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, and 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 focused on business outcomes.
• 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.
• Provide executive oversight from opportunity shaping and mobilization through delivery, governance, and value realization.
• Lead and mentor consulting, architecture, engineering, analytics, and AI teams across locations.
• Develop reusable offerings, reference architectures, case studies, estimators, executive narratives, and delivery playbooks.

WhatYouBring

• 18+ years of experience across data, analytics, AI, consulting, and enterprise transformation, including leadership of large-scale programs.
• Deep expertise in enterprise data strategy, data architecture, governance, operating models, data products, and data modernization.
• Strong understanding of data engineering, including ETL/ELT, integration, APIs, orchestration, data quality, observability, DataOps, and platform engineering.
• Experience leading analytics and BI initiatives, including enterprise reporting, self-service analytics, semantic layers, advanced analytics, and decision intelligence.
• Knowledge of AI, machine learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
• Experience defining enterprise solutions across cloud platforms, Databricks, Snowflake, and other modern data platforms.
• Strong knowledge of financial services requirements, including regulatory compliance, privacy, security, resilience, auditability, and risk management.
• Proven success in consulting, business development, presales, solutioning, opportunity qualification, proposals, pricing support, and executive stakeholder management.
• Ability to lead global, cross-functional teams and engage effectively with senior business leaders.
• Bachelor's degree in a relevant discipline. A master's degree, MBA, and relevant cloud, architecture, data, analytics, AI, or program certifications are preferred.