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Director – Data, Analytics & AI (BFSI)

@ N2P Systems

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Toronto, Ontario

Temps plein18+ ans d’expérience
Postuler
SIGNAUX

En bref

N2P Systems is hiring a Director of Data, Analytics and AI to lead enterprise data, analytics and AI transformation for banking, financial services and insurance clients. The role combines executive client advisory, business development and leadership of large transformation programs. The posting states 18+ years of experience and a bachelor's degree is required.

Responsabilités :

  • Advise BFSI executives on data and AI strategy
  • Lead RFP responses and commercial discussions
  • Drive enterprise data and AI transformation programs
  • Establish governance and delivery frameworks
  • Mentor cross-functional teams and build capability

Résumé des exigences :

  • 18+ years in data, analytics, AI and consulting
  • Expertise in data architecture and governance
  • Experience with Azure, AWS, GCP, Databricks, Snowflake
  • Knowledge of BFSI regulatory and risk requirements
  • Proven business development and pre-sales success
  • Bachelor's degree required, Master's or MBA preferred

Outils et compétences

DatabricksSnowflakeAzureAWSGCP
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-12
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDirecteur ou directrice
DomaineDéveloppement des affaires
Expérience18 an(s) et plus
Gestion d’équipeOui
Heures par semaine40 (estimé)
Milieu de travailBureau, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
FormationBaccalauréat (exigé), Maîtrise (préféré)
Domaines d’étudesComputer Science, Engineering, Information Systems, Business, Data

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

N2P Systems

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ChampValeur
Offres sur Jobsy3
Description

We are seeking an accomplished Data & Analytics Leader to drive enterprise-wide Data, Analytics, and AI transformation initiatives within the Banking, Financial Services, and Insurance (BFSI) sector.

This is a strategic leadership position combining technology consulting, enterprise transformation, business development, and client engagement. The ideal candidate will bring extensive experience in shaping data-led business strategies, building executive relationships, developing strategic opportunities, and delivering measurable business outcomes.

You will work closely with CDOs, CIOs, CAIOs, and senior business stakeholders to define transformation strategies, accelerate AI adoption, and drive business growth.

Key Responsibilities

1. Strategic Leadership & Client Advisory

  • Build trusted relationships with CDOs, CIOs, CAIOs, and senior business executives.
  • Advise BFSI clients on enterprise data strategy, analytics transformation, AI adoption, and data modernization.
  • Lead executive workshops, strategic discussions, and transformation planning sessions.
  • Translate business challenges into actionable roadmaps and measurable business outcomes.

2. Business Development & Growth

  • Drive business growth across Data, Analytics, and AI consulting services.
  • Identify, qualify, and develop strategic opportunities from initial engagement through proposal and closure.
  • Lead RFP responses, solution development, commercial discussions, and executive presentations.
  • Build strategic partnerships with technology providers, alliance partners, and consulting practices.
  • Develop reference customers and establish long-term strategic client relationships.

3. Enterprise Data, Analytics & AI Transformation

  • Define enterprise data strategies, target architectures, operating models, and governance frameworks.
  • Drive modernization initiatives across cloud data platforms, data engineering, analytics, and AI.
  • Guide the adoption of AI, Generative AI, Agentic AI, Machine Learning, and Responsible AI.
  • Champion modern data platforms, data products, self-service analytics, and decision intelligence.
  • Ensure solutions meet enterprise requirements for scalability, security, regulatory compliance, and cost optimization.

4. Program & People Leadership

  • Provide executive oversight across large-scale consulting and transformation engagements.
  • Establish governance frameworks covering delivery milestones, risks, dependencies, quality, and business outcomes.
  • Lead and mentor cross-functional teams across consulting, architecture, engineering, analytics, and AI.
  • Develop reusable frameworks, reference architectures, consulting offerings, and delivery playbooks.
  • Support leadership development, talent acquisition, succession planning, and capability building.

Required Qualifications & Experience

  • 18+ years of professional experience across Data, Analytics, AI, Technology Consulting, and Enterprise Transformation.
  • Extensive expertise in Enterprise Data Strategy, Data Architecture, Data Governance, Data Products, and Data Modernization.
  • Strong understanding of the end-to-end data value chain, including data engineering, integration, ETL/ELT, APIs, DataOps, and platform engineering.
  • Proven experience leading enterprise Analytics and Business Intelligence initiatives.
  • Strong knowledge of AI/ML, Generative AI, Agentic AI, MLOps/LLMOps, and Responsible AI.
  • Experience designing and delivering enterprise-scale solutions using Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
  • Strong understanding of BFSI industry requirements, including regulatory compliance, data privacy, security, risk management, and auditability.
  • Demonstrated success in consulting, business development, pre-sales, solution architecture, opportunity management, and commercial negotiations.
  • Experience managing large transformation programs and engaging with C-suite executives.
  • Proven ability to lead geographically distributed, cross-functional teams.

Education & Certifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Data, or a related discipline.
  • Master's degree or MBA preferred.
  • Relevant certifications in Cloud, Enterprise Architecture, Data Management, Analytics, AI, Program Management, or Executive Leadership are advantageous.

Leadership Competencies

  • Executive stakeholder management and relationship building.
  • Strategic thinking and business development.
  • Excellent communication, presentation, and influencing skills.
  • Strong commercial and business acumen.
  • Enterprise transformation and program governance.
  • Team leadership, mentoring, and capability development.
  • High ownership, accountability, and commitment to client success.

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