Data & Analytics Leader - BFSI, AI Transformation

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 150,000 - 230,000; Full time

Job summary

Astra-North Infoteck Inc. is seeking an experienced Data & Analytics Leader to shape enterprise transformation programs for financial services clients.

You will unite data strategy, analytics, AI, consulting, business development, and delivery leadership to drive measurable value realization across senior stakeholders. You will lead workshops, guide opportunity creation, and shape delivery roadmaps while building joint opportunities with account teams and partners.

Qualifications

• Experience shaping enterprise data strategy and analytics programs.
• Proven ability to lead large-scale transformation initiatives.
• Strong advisory skills with C-suite stakeholders.

Responsibilities

• 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.

Skills

Data strategy

Analytics leadership

Executive stakeholder management

Consulting leadership

Business development

Education

Bachelor's degree in a relevant discipline

Master's degree or MBA preferred

Tools

Databricks

Snowflake

Job description

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.