Lead Data & Analytics Consultant, Banking and Finance

Overview

In this senior role, you drive data, analytics and AI-led transformation for Banking & Financial Services clients. You partner with executives to shape modern data foundations and enterprise data strategies, turning insights into measurable value. You will lead cross-functional teams, mentor colleagues and expand CGI’s advisory footprint. This position offers ownership, collaboration across specialties, and the chance to influence large-scale data-driven decisions. Join CGI to help clients improve decision-making, customer outcomes and operational performance at scale.

Pay / Benefits

• competitive salary
• excellent pension
• private healthcare
• share scheme (3.5% + 3.5% matching)

Responsibilities

• Lead strategic data, analytics and AI advisory engagements and enterprise transformation programmes.
• Develop propositions spanning customer intelligence, risk, operational efficiency, decision intelligence and growth.
• Build relationships with C-suite executives and senior stakeholders to shape priorities.
• Analyze complex datasets to uncover opportunities, risks and actionable insights.
• Define enterprise data strategies, governance frameworks, target-state architectures and operating models.
• Guide data and analytics initiatives from strategy through implementation and measurable outcomes.
• Support strategic pursuits, propositions and account growth.
• Coordinate multidisciplinary CGI teams to deliver integrated, data-driven solutions.
• Mentor colleagues and share expertise to strengthen CGI’s capability.
• Represent CGI through thought leadership and market engagement.

Key requirements

• Extensive Banking & Financial Services experience leading data, analytics, AI or enterprise data transformation initiatives.
• Deep data strategy expertise including governance, quality, operating models, roadmaps and modern architectures.
• Strong analytical capability to interpret complex datasets and identify opportunities, inefficiencies and risks.
• Proven executive advisory skills with engagement of C-suite and senior leaders.
• Knowledge of modern data ecosystems including cloud platforms, data engineering and enterprise architectures.
• Applied AI and analytics experience (advanced analytics, machine learning, GenAI, decision intelligence, intelligent automation).
• Banking data domain knowledge across customer, product, payments, lending, financial crime, risk, treasury or regulatory reporting.
• Data governance expertise including data quality, controls, metadata and master data management.
• Transformation leadership with business cases, operating-model design and execution.
• Commercial and growth capability with experience in proposals and account development.
• Excellent communication and storytelling for non-technical audiences.
• Thought leadership evidenced by advisory work, industry participation or publications.

• excellent communication
• stakeholder influence
• storytelling
• data strategy
• data governance
• enterprise data architectures

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