Data & AI Strategy and Delivery Consultant

Join CGI as a Houston-based Senior Consultant in Data & AI Strategy and Delivery and help clients translate complex business, data, and AI opportunities into clear strategies, executable plans, and successfully delivered solutions. This role is ideal for a strategic, client-focused, and delivery-oriented professional who bridges business needs, technical teams, and executive stakeholders across data, analytics, Generative AI, artificial intelligence, and broader business transformation initiatives.

About the role

The ideal candidate brings excellent communication and presentation skills, strong functional consulting and delivery experience, technical fluency in data and AI, and the ability to manage complex initiatives from early-stage discovery through implementation. This role suits someone who can think strategically, communicate confidently with technical and executive audiences, and contribute directly to client engagements as a business analyst, project manager, program manager, product owner, functional consultant, or workstream lead.

In addition to Data & AI initiatives, this individual should support broader Business Consulting engagements, including operating model design, workforce assessments, organizational transformation, process improvement, capability assessments, and strategic planning. While hands-on development experience is beneficial, this is primarily a functional, strategic, and client-facing role rather than a software engineering or data science position.

This position is located in our Houston, Texas office. Candidates must be based in the Houston area and willing to work an average of three days per week from the CGI Houston office and/or a client site.

Responsibilities

• Support the development of data, analytics, Generative AI, and AI strategies aligned to client business priorities, operational goals, and transformation objectives.
• Help clients identify, assess, and prioritize high-value data and AI use cases based on business value, feasibility, risk, readiness, and expected outcomes.
• Translate broad business challenges into structured initiatives, roadmaps, workstreams, and actionable delivery plans.
• Facilitate strategy sessions, discovery workshops, stakeholder interviews, and working sessions with business and technical teams.
• Develop business cases, value narratives, executive presentations, recommendations, and decision materials for client and CGI leadership.
• Contribute to AI operating model, governance, adoption, capability building, and transformation planning efforts.
• Work with senior AI leaders and technical subject matter experts to shape practical, scalable, and responsible data and AI solutions.
• Support Business Consulting engagements involving operating model design, workforce assessments, organizational transformation, process improvement, and capability development.
• Assess current-state organizations, processes, roles, governance structures, skills, tools, and operating practices.
• Define future-state operating models, organizational structures, decision rights, governance frameworks, role definitions, and implementation roadmaps.
• Conduct stakeholder interviews, workshops, surveys, document reviews, and data analysis to identify business needs, gaps, risks, and opportunities.
• Support workforce and capability assessments by evaluating roles, skills, capacity, demand, organizational readiness, and future capability requirements.
• Translate assessment findings into practical recommendations, prioritized initiatives, implementation plans, and executive-level presentations.
• Develop clear process maps, operating model artifacts, responsibility matrices, capability frameworks, and transformation roadmaps.
• Support change management, stakeholder alignment, communications, training, and adoption planning.
• Gather, document, analyze, and validate business, functional, data, and technical requirements for Data & AI and business transformation initiatives.
• Translate business needs into user stories, process flows, use cases, acceptance criteria, functional specifications, and delivery backlogs.
• Define project scope, objectives, dependencies, assumptions, milestones, deliverables, and success measures.
• Help stakeholders evaluate priorities and understand trade-offs related to scope, cost, timing, complexity, risk, data readiness, and technical feasibility.
• Serve as a liaison between business stakeholders, product owners, architects, data engineers, data scientists, AI engineers, developers, and project leadership.
• Ensure technical teams have clear business context and requirements while helping business stakeholders understand solution capabilities, constraints, and design decisions.
• Support user acceptance testing, solution validation, rollout planning, change management, training, and adoption activities.
• Lead or support Data & AI and Business Consulting workstreams from discovery and planning through implementation, deployment, and adoption.
• Develop and maintain project plans, schedules, status reports, risk and issue logs, action trackers, and stakeholder communication plans.
• Coordinate activities across multidisciplinary teams and ensure dependencies, decisions, and deliverables are actively managed.
• Manage multiple priorities, concurrent assignments, and tight deadlines while maintaining attention to detail and quality.
• Identify delivery risks, scope concerns, resource constraints, and timeline impacts early and communicate them clearly to project leadership and clients.
• Facilitate recurring project meetings, executive updates, technical discussions, working sessions, and decision forums.
• Track progress against milestones, commitments, expected outcomes, and business value measures.
• Support Agile, hybrid, and traditional delivery models depending on client needs and project context.
• Present Data & AI strategies, business consulting findings, solution concepts, project recommendations, delivery updates, and business outcomes to technical and executive audiences.
• Communicate complex business, data, and AI concepts in clear, accurate, and business-oriented language.
• Demonstrate confidence, credibility, sound judgment, and executive presence in client meetings and presentations.
• Adapt communication style and level of detail for business leaders, technical teams, project stakeholders, and senior executives.
• Facilitate conversations involving priorities, risks, trade-offs, timelines, scope, organizational impacts, and delivery expectations.
• Build trusted relationships with clients, prospects, CGI leaders, and delivery teams.
• Create polished presentations, proposals, roadmaps, status materials, assessment reports, meeting summaries, and executive communications.
• Represent CGI professionally in client meetings, workshops, presentations, and pursuit activities.
• Lead or coordinate RFP, RFI, proposal, and sales pursuit responses related to data, analytics, Generative AI, AI, and Business Consulting services.
• Review client requirements and develop clear response strategies, content outlines, work plans, and submission schedules.
• Draft high-quality proposal content with limited oversight while coordinating targeted input from AI, data, cloud, architecture, security, industry, and business consulting subject matter experts.
• Translate technical and consulting capabilities into compelling business narratives, differentiators, value propositions, delivery approaches, and client outcomes.
• Manage proposal contributors, deadlines, reviews, revisions, dependencies, and final submission readiness.
• Present proposed approaches to prospective clients and respond confidently to business and technical questions.
• Support solution shaping, estimating, staffing, scoping, and transition planning for new opportunities.
• Contribute to reusable proposal content, presentation materials, case studies, accelerators, methodologies, and go-to-market assets.
• Demonstrate strong working knowledge of modern data, analytics, machine learning, Generative AI, and AI concepts.
• Understand common AI solution patterns, including copilots, retrieval-augmented generation, intelligent search, knowledge assistants, agents, workflow automation, predictive analytics, and decision support solutions.
• Understand the typical lifecycle of Data & AI initiatives, including discovery, use case definition, data assessment, solution design, prototyping, testing, deployment, adoption, governance, and ongoing improvement.
• Communicate effectively with technical teams regarding data sources, integrations, architecture, security, model behavior, performance, evaluation, and operational considerations.
• Understand modern data platforms and ecosystems, including platforms such as Snowflake, Databricks, Microsoft Azure, AWS, Google Cloud Platform, data lakes, data warehouses, and business intelligence tools.
• Recognize common Data & AI delivery risks, including unclear requirements, poor data quality, limited access, integration complexity, adoption challenges, model limitations, governance gaps, and unrealistic timelines.
• Support responsible AI, data governance, privacy, cybersecurity, compliance, and human-in-the-loop considerations within project planning and delivery.
• Stay current on emerging data and AI trends and translate relevant developments into practical client conversations and recommendations.

Requirements

• Excellent written and verbal communication, presentation, facilitation, and stakeholder management skills.
• Strong executive presence and the ability to communicate confidently, accurately, and professionally with senior business and technology leaders.
• Ability to explain complex business, data, and AI concepts clearly to both technical and non-technical audiences.
• Experience supporting or leading data, analytics, AI, technology transformation, digital transformation, or Business Consulting initiatives.
• Experience gathering requirements, defining scope, documenting processes, developing user stories, establishing milestones, and supporting solution delivery.
• Experience serving in roles such as business analyst, project manager, program manager, product owner, functional consultant, strategy consultant, management consultant, or delivery lead.
• Ability to translate business objectives into structured requirements, project plans, operating models, assessments, and roadmaps.