Data & Analytics Leader-6

Realign Llc; Toronto; Hybride; CAD 200 000 - 270 000; Plein temps

Résumé du poste

Realign Llc is seeking an experienced Data & Analytics Leader to drive consulting growth, enterprise data strategy, analytics transformation, and AI-led business outcomes for BFSI clients. This senior role combines executive advisory, enterprise architecture, and presales with large-scale transformation leadership.

The ideal candidate has 18+ years across Data, Analytics, AI, and Enterprise Transformation, including leadership in architecture, presales, and business growth.

Qualifications

• 18+ years of experience in Data, Analytics, AI, Consulting, and Enterprise Data Transformation.
• 10+ years of experience in Data/Application Architecture.
• 5+ years of experience in Business Development, Presales, Consulting, or Growth Leadership.
• Strong expertise in Enterprise Data Strategy, Data Architecture, Operating Models, Data Products, Data Governance, and Data Modernization.
• Proven ability to deliver measurable ROI and business outcomes across the data-to-insights value chain.
• Strong understanding of Data Engineering, including ETL/ELT, data integration, APIs, data quality, orchestration, observability, DataOps, and platform engineering.
• Experience leading enterprise analytics and BI initiatives, including enterprise reporting, self-service analytics, semantic layers, advanced analytics, and decision intelligence.
• Strong knowledge of AI/ML, Generative AI, Agentic AI, MLOps/LLMOps, Responsible AI, and AI-driven business transformation.
• Experience defining and delivering enterprise-scale solutions using Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
• Strong understanding of BFSI requirements, including regulatory compliance, data privacy, security, operational resilience, auditability, and risk management.
• Demonstrated success in consulting, business development, presales, solutioning, opportunity qualification, proposal development, pricing support, and executive stakeholder management.
• Proven ability to lead large cross-functional teams, manage 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.

Responsabilités

• Build and maintain strategic 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 transformation roadmaps, investment priorities, and measurable business outcomes.
• Lead executive workshops, discovery sessions, steering committee meetings, and strategic client discussions.
• Drive business growth across Data, Analytics & AI services, from opportunity identification and qualification through solutioning, proposal development, negotiation, and closure.
• Shape large consulting and transformation engagements, including solution direction, value propositions, commercial models, and delivery roadmaps.
• Lead RFP responses and proactive proposals, ensuring solutions are differentiated, feasible, and outcome-focused.
• Develop 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, Generative AI, governance, and Responsible AI.
• Recommend modernization approaches using Azure, AWS, GCP, Databricks, Snowflake, and other modern data platforms.
• Ensure solutions address scalability, security, privacy, resilience, cost optimization, auditability, and regulatory compliance.
• Provide executive oversight from opportunity shaping and engagement mobilization through delivery and value realization.
• Establish governance for scope, milestones, risks, dependencies, commercial commitments, quality, and stakeholder communication.
• Ensure effective transition from presales to delivery, with clear commitments, success measures, and accountability.
• Lead and mentor consulting, architecture, engineering, analytics, and AI teams across locations.
• Support senior talent acquisition, capability development, succession planning, and leadership mentoring.
• Develop reusable consulting offerings, reference architectures, case studies, estimators, executive presentations, and delivery playbooks.
• Create reference customers for TCS and influence revenue growth through strategic client relationships and successful transformation engagements.
• Represent the practice with clients, partners, and internal leadership as a trusted advisor for BFSI Data, Analytics & AI transformation.

Connaissances

Enterprise Data Strategy

Data/AI Consulting

Business Development

Formation

Bachelor's degree

Outils

Azure

AWS

GCP

Databricks

Snowflake

Description du poste

Primary Skills: Enterprise Data Strategy & Architecture, Data/AI Consulting & Transformation, Business Development & Practice Leadership

Location: Toronto, ON
Work Model: Hybrid
Job Type: Full Time

Job Description

We are seeking an experienced Data & Analytics Leader to drive consulting growth, enterprise data strategy, analytics transformation, and AI-led business outcomes for Banking, Financial Services, and Insurance (BFSI) clients. This senior leadership role requires a combination of executive advisory, enterprise architecture, business development, presales, and large-scale transformation experience.

The ideal candidate will have 18+ years of experience across Data, Analytics, AI, and Enterprise Transformation, including significant leadership experience in architecture, consulting, presales, and business growth. The role will involve building trusted relationships with CDOs, CIOs, CAIOs, and other senior executives, shaping strategic consulting engagements, developing new revenue opportunities, and establishing TCS as a trusted partner for BFSI Data, Analytics & AI transformation.

Key Responsibilities

• Build and maintain strategic 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 transformation roadmaps, investment priorities, and measurable business outcomes.
• Lead executive workshops, discovery sessions, steering committee meetings, and strategic client discussions.
• Drive business growth across Data, Analytics & AI services, from opportunity identification and qualification through solutioning, proposal development, negotiation, and closure.
• Shape large consulting and transformation engagements, including solution direction, value propositions, commercial models, and delivery roadmaps.
• Lead RFP responses and proactive proposals, ensuring solutions are differentiated, feasible, and outcome-focused.
• Develop 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, Generative AI, governance, and Responsible AI.
• Recommend modernization approaches using Azure, AWS, GCP, Databricks, Snowflake, and other modern data platforms.
• Ensure solutions address scalability, security, privacy, resilience, cost optimization, auditability, and regulatory compliance.
• Provide executive oversight from opportunity shaping and engagement mobilization through delivery and value realization.
• Establish governance for scope, milestones, risks, dependencies, commercial commitments, quality, and stakeholder communication.
• Ensure effective transition from presales to delivery, with clear commitments, success measures, and accountability.
• Lead and mentor consulting, architecture, engineering, analytics, and AI teams across locations.
• Support senior talent acquisition, capability development, succession planning, and leadership mentoring.
• Develop reusable consulting offerings, reference architectures, case studies, estimators, executive presentations, and delivery playbooks.
• Create reference customers for TCS and influence revenue growth through strategic client relationships and successful transformation engagements.
• Represent the practice with clients, partners, and internal leadership as a trusted advisor for BFSI Data, Analytics & AI transformation.

Required Skills & Experience

• 18+ years of experience in Data, Analytics, AI, Consulting, and Enterprise Data Transformation.
• 10+ years of experience in Data/Application Architecture.
• 5+ years of experience in Business Development, Presales, Consulting, or Growth Leadership.
• Strong expertise in Enterprise Data Strategy, Data Architecture, Operating Models, Data Products, Data Governance, and Data Modernization.
• Proven ability to deliver measurable ROI and business outcomes across the data-to-insights value chain.
• Strong understanding of Data Engineering, including ETL/ELT, data integration, APIs, data quality, orchestration, observability, DataOps, and platform engineering.
• Experience leading enterprise analytics and BI initiatives, including enterprise reporting, self-service analytics, semantic layers, advanced analytics, and decision intelligence.
• Strong knowledge of AI/ML, Generative AI, Agentic AI, MLOps/LLMOps, Responsible AI, and AI-driven business transformation.
• Experience defining and delivering enterprise-scale solutions using Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
• Strong understanding of BFSI requirements, including regulatory compliance, data privacy, security, operational resilience, auditability, and risk management.
• Demonstrated success in consulting, business development, presales, solutioning, opportunity qualification, proposal development, pricing support, and executive stakeholder management.
• Proven ability to lead large cross-functional teams, manage 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.

Generic Managerial Skills

• Strong executive leadership and stakeholder management skills, with the ability to engage effectively across business, technology, and executive teams.
• Excellent communication, presentation, negotiation, and influencing skills.
• Strong consulting, strategic thinking, and problem-solving capabilities.
• Proven experience leading global, cross-functional consulting, architecture, engineering, analytics, and delivery teams.
• Strong business acumen, including growth strategy, opportunity development, solutioning, and executive decision-making.
• High ownership, accountability, integrity, and commitment to successful client outcomes.
• Experience mentoring senior leaders, architects, and consultants while building high-performing teams.
• Ability to manage multiple strategic priorities, complex stakeholder environments, and large transformation programs.
• Strong governance, risk management, escalation management, and commercial oversight capabilities.
• Adaptability to operate effectively in fast-paced environments with evolving business priorities and emerging technologies.

Preferred Qualifications

• Master's degree or MBA.
• Certifications in Cloud, Enterprise Architecture, Data Management, Analytics, AI, Program Management, or Executive Leadership.
• Experience leading Data & AI consulting practices or enterprise transformation programs within BFSI.
• Experience creating reusable consulting offerings, establishing reference customers, and driving practice-level revenue growth.

Key Resume Search Keywords

Data & Analytics Leader, Data Domain Leader, Consulting Partner, Managing Partner, CDO Advisory, Data & AI Consulting, Enterprise Data Strategy, Data Transformation, Analytics Transformation, AI Transformation, Technology Leadership, Business Development, Growth Strategy, Executive Relationship Management, CXO Engagement, Client Advisory, Presales, Solution Consulting, Commercial Governance, Delivery Oversight, Transition Management, Enterprise Data Architecture, Data Operating Model, Data Products, Data Mesh, Data Lakehouse, Data Warehouse, Master Data Management, Reference Data, Metadata Management, Data Engineering, ETL, ELT, Batch Processing, Streaming Integration, APIs, Data Quality, Data Observability, DataOps, Platform Engineering, Enterprise BI, Semantic Layer, Self-Service Analytics, Advanced Analytics, Decision Intelligence, AI/ML, Generative AI, Agentic AI, MLOps, LLMOps, Model Governance, Responsible AI, Azure, AWS, GCP, Databricks, Snowflake, Cloud Modernization, BFSI, Banking, Financial Services, Insurance, Regulatory Compliance, Data Privacy, Risk Management, Operational Resilience, RFP Leadership, Proposal Development, Opportunity Qualification, Pricing, Negotiation, Global Delivery, Practice Leadership.