Artificial Intelligence Product Management Consultant

CGI Deutschland • Dallas, TX

100d • $88,200 - $214,800

About The Position

We're growing rapidly and are looking for an Artificial Intelligence Product Management Consultant to serve as an internal subject-matter expert in the development, application, and use of data science, machine learning, traditional artificial intelligence, generative artificial intelligence, or optimization solutions in the business. This role is responsible for the end-to-end management of data science, machine learning, artificial intelligence, or optimization products as well as the coordination and relationship with the project customer which includes opportunity identification, scoping, and valuation of potential products. The AI Intelligence Product Management Consultant will be a hybrid consultant who bridges product strategy and AI Implementation. We're a close-knit team that has access to global resources. You'll have the opportunity to explore a wide range of industries, technologies, and geographies, all while enjoying the personal touch that our local operating approach offers. Growth at CGI is driven by your goals, so if you're looking for an inclusive place where you're empowered to chart your own path, then we'd love to meet you. This position can be located remotely anywhere in the U.S.

Requirements

• Experience leading product discovery and customer research initiatives.
• Track record of translating ambiguous business problems into clear product requirements and roadmaps.
• Proficiency with frameworks (e.g. jobs-to-be-done, user story mapping) that facilitate outcome-driven product innovations.
• Skilled in conducting stakeholder interviews, surveys, and observational research.
• Ability to identify patterns across disparate customer needs and pain points.
• Strong workshop facilitation skills for requirements gathering sessions.
• Ability to prioritize features based on business value and technical feasibility.
• Hands-on experience implementing solutions using GPT-4, Claude, or similar foundation models.
• Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning approaches.
• Familiarity with agentic AI frameworks like LangChain, Strands, or CrewAI.
• Ability to evaluate build vs. buy decisions for AI tooling.
• Ability to identify and evaluate opportunities for Agentic AI Solutions.
• Experience architecting AI solutions that address specific business workflows.
• Understanding of change management required for AI adoption.
• Ability to create proof-of-concepts that demonstrate value quickly.
• Skills in defining success metrics and ROI for AI initiatives.
• Intermediate knowledge in both inductive and deductive reasoning, problem solving approaches and AI techniques including machine learning, traditional and generative artificial intelligence.
• Intermediate knowledge in evaluating analytic methods to propose the appropriate end-to-end product roadmap for business problems.
• Intermediate knowledge in leveraging value definition frameworks and methodologies to size, scope, and prioritize various data science, machine learning, artificial intelligence, or optimization initiatives.
• Skilled in leveraging enterprise communication tools to develop and deliver messaging of complex technical projects to appropriate stakeholders.
• Skilled in utilizing product management tools that align to SAFe principles to define the product roadmap and project plan used to ensure the project has the resources needed to complete tasks on time and ensures timely product delivery.
• Ability to build trust with all levels of Employees up to and including functional leaders and must have the ability to properly manage highly sensitive and confidential information.
• Ability to lead moderate to complex data science, machine learning, artificial intelligence, or optimization projects including acting as a leader in business stakeholder meetings, solution definition and planning, detailed task and deliverable definition and creation, and project schedule creation.
• Ability to communicate in an engaging way with strong verbal and written communication skills for technical and non-technical audiences up to and including cross-functional leaders.
• Ability to adjust to a variety of situations and changing approaches/methodology if necessary in order to effectively and successfully meet objectives.

Nice To Haves

• Product Management experience with AI Based projects.
• Advanced level experience, seasoned and specialized knowledge in: Data analysis and advanced analytics.
• Consulting and management experience with data science, machine learning, or artificial intelligence projects.
• Visualization and presentation development and delivery.
• Solving ambiguous and complex problems through a systems thinking approach.

Responsibilities

• Works on moderate to complex data science, machine learning, artificial intelligence, or optimization projects, working with the customer and collaborating with colleagues to understand contextual problems quickly and define, analyze, and deliver products based on business objectives with assistance from peers.
• Serves as the customer relationship lead on data science, machine learning, artificial intelligence, or optimization products and interacts with Business and Technology leaders across multiple and concurrent projects.
• Facilitates and drives collaborative sessions with key stakeholders to gather insights, solve complex challenges, and align on project goals and outcomes for data science, machine learning, artificial intelligence, or optimization solutions.
• Knowledgeable on data science, machine learning, traditional and generative artificial intelligence, or optimization delivery methodologies.
• Develops Executive-level communication (e.g. project status updates, presentations, etc.).
• Synthesizes moderate amounts of detailed data and summarizes relevant information for the appropriate stakeholder.
• Prepares for and participates in Agile ceremonies to ensure alignment with SAFe principles.
• Collaborates with stakeholders to maintain a well-groomed backlog, ensuring stories are aligned with product goals and are ready for execution. Actively engages in prioritization discussions, responding to shifting business needs, evolving priorities, and changing team capacity.
• May perform other job duties as directed by Employee's Leaders.

Benefits

• Competitive compensation including profit participation program.
• Comprehensive medical, dental, and vision benefits.
• Basic life and accidental death & dismemberment insurance.
• Matching contributions through 401(k) plan, and CGI share purchase plan.
• Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service.
• 10 paid holidays per year.
• At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires).
• Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws.
• Bereavement leave, ranging from 1 to 7 days per year based on relationship.
• Paid jury duty leave, up to time summoned.
• Learning opportunities and tuition assistance.
• Wellness and Well-being programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree