Data & Analytics Consulting Leader

Role Overview

Key Responsibilities

• Develop strategic relationships with Chief Data Officers, CIOs, Chief AI Officers, business executives, and senior technology stakeholders.
• Advise BFSI organizations on enterprise data strategy, analytics transformation, AI adoption, governance frameworks, operating models, and modernization initiatives.
• Convert business challenges into actionable transformation roadmaps, investment priorities, and measurable business outcomes.
• Facilitate executive workshops, discovery meetings, steering committees, and strategic client discussions.
• Drive Data, Analytics, and AI business growth, covering opportunity identification, qualification, proposals, commercial negotiations, and deal closure.
• Shape large consulting and transformation engagements by defining solution direction, value propositions, commercial strategies, and delivery roadmaps.
• Lead RFP responses and proactive proposals, ensuring solutions are differentiated, commercially viable, and outcome-oriented.
• Develop collaborative business opportunities with account teams, technology partners, alliance partners, and consulting practices.
• Define target-state enterprise architectures and strategies spanning cloud data platforms, data products, analytics, AI/ML, Generative AI, governance, and Responsible AI.
• Recommend modernization strategies involving leading cloud providers, data platforms, and emerging technologies.
• Ensure enterprise transformation initiatives address scalability, security, privacy, resilience, cost optimization, and regulatory obligations.
• Provide executive oversight throughout opportunity development, engagement mobilization, delivery, and business value realization.
• Establish governance mechanisms covering project scope, milestones, dependencies, risks, commercial commitments, quality, and stakeholder communication.
• Ensure effective transition from pre-sales to delivery, with clearly defined ownership, commitments, and success criteria.
• Lead and mentor multidisciplinary consulting, architecture, engineering, analytics, and AI teams across different locations.
• Contribute to senior talent acquisition, capability development, succession planning, and leadership mentoring.
• Create reusable consulting offerings, reference architectures, case studies, estimation models, executive presentations, and delivery playbooks.
• Represent the practice in strategic client, partner, and internal leadership engagements.
• Develop strategic reference customers and contribute to sustainable revenue growth.

Required Skills & Qualifications

• At least 18 years of professional experience spanning Data, Analytics, AI, and Consulting, with a demonstrated history of business growth and enterprise transformation delivery.
• Strong expertise in enterprise data strategy, architecture, operating models, data products, governance, and modernization.
• Demonstrated success in delivering measurable ROI and business outcomes across the complete Data-to-Insights value chain.
• Strong understanding of data engineering disciplines, including ETL/ELT, integration, APIs, data quality, orchestration, observability, and platform engineering.
• Experience directing enterprise analytics and business intelligence initiatives, including reporting, self-service analytics, semantic layers, and decision intelligence.
• Broad understanding of AI, Machine Learning, Generative AI, Agentic AI, MLOps/LLMOps, Responsible AI, and enterprise AI transformation.
• Experience defining and delivering enterprise-scale solutions using modern cloud data platforms and technologies.
• Strong understanding of BFSI requirements, particularly regulatory compliance, data privacy, security, resilience, auditability, and risk management.
• Established experience in consulting, business development, pre-sales, solution development, opportunity qualification, proposal development, and commercial support.
• Demonstrated ability to lead large, geographically distributed teams and manage complex enterprise transformation programs.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data, Business, or a related discipline.

Preferred Qualifications

• Master's degree or MBA.
• Experience with Azure, AWS, GCP, Databricks, and Snowflake.
• Exposure to Agentic AI, MLOps, LLMOps, Responsible AI, and emerging enterprise AI capabilities.
• Professional certifications in cloud technologies, enterprise architecture, data management, analytics, AI, program management, or executive leadership.

Applicants will be asked to answer the following qualifying questions when applying for this position:

• 1Are you legally authorized to work in Canada without visa sponsorship?
• 2Do you have 18+ years of professional experience in Data, Analytics, AI, and Consulting, including enterprise transformation programs?
• 3Do you have proven experience leading enterprise-scale Data & AI consulting engagements, including business development, pre-sales, and solutioning?