Senior AI-First Product Lead

Qualifications

• Proven experience as a Product Manager, Product Owner, or similar product leadership role, preferably delivering complex digital, technology, data, or AI-enabled products.
• Demonstrated experience defining product strategy, roadmaps, requirements, user stories, and prioritized product backlogs.
• Strong understanding of Agile/Scrum product development methodologies and experience partnering with cross-functional delivery teams.
• Working knowledge of modern AI concepts and technologies, including Generative AI, Large Language Models (LLMs), AI agents, intelligent automation, machine learning, and AI-enabled product experiences.
• Ability to identify where AI can create meaningful value and translate emerging AI capabilities into practical product use cases and business outcomes.
• Experience working collaboratively with engineering, AI/ML, data, UX/design, business, and other technical and non-technical stakeholders.
• Strong customer-centric and data-driven mindset, with experience using customer insights, experimentation, analytics, and product metrics to inform decisions.
• Demonstrated ability to manage competing priorities, navigate ambiguity, and make informed product decisions in a fast-moving and evolving technology environment.
• Excellent written and verbal communication skills, with the ability to communicate complex technical concepts clearly to both technical and business audiences.
• Strong stakeholder management, collaboration, and influencing skills, including the ability to align teams without direct authority.
• Proven track record of successfully delivering innovative products or capabilities that generate measurable business and customer value.
• Strong curiosity and continuous-learning mindset, with a passion for understanding emerging technologies and applying them to real-world business challenges.
• Preferred Qualifications
• Direct experience building or launching Generative AI, LLM-powered, agentic AI, conversational AI, or intelligent automation products.
• Experience integrating AI capabilities into existing enterprise products, platforms, workflows, or customer experiences.
• Understanding of responsible AI principles, including AI governance, privacy, security, bias, explainability, and human-in-the-loop considerations.
• Experience working with AI/ML engineering, data science, or emerging technology teams.
• Familiarity with experimentation frameworks, product analytics, and measuring the business impact and adoption of AI-enabled features. 10+ years of consulting industry experience, with strong relationship management, account management, and sales support experience.
• Must have had Program Management experience in setting up and running a PMO and should be able to manage multiple projects on different tracks.
• Highly proficient in collaborating with project stakeholders, end-users, business partners, and technical team members to deliver high quality projects.
• Hands on with project documentation. Well-versed in industry best-practices and current technologies.
• Must have prior background in managing large, multi-team engagements.
• Experience with Global Delivery Model is preferred.
• Hands-on experience with proposal creation and leading proposal presentations.
• Excellent leadership, interpersonal, communication and presentation skills.
• Wide variety of IT and business consulting engagement experience.
• Flexibility to travel.
• Bachelor’s degree or foreign equivalent required from an accredited institution.

Preferred skills:

• PMP Certification
• Scrum/Agile Methodology
• Preferred Qualifications
• Experience with Global Delivery Model is preferred.
• Direct experience building or launching Generative AI, LLM-powered, agentic AI, conversational AI, or intelligent automation products.
• Experience integrating AI capabilities into existing enterprise products, platforms, workflows, or customer experiences.
• Understanding of responsible AI principles, including AI governance, privacy, security, bias, explainability, and human-in-the-loop considerations.
• Experience working with AI/ML engineering, data science, or emerging technology teams.
• Familiarity with experimentation frameworks, product analytics, and measuring the business impact and adoption of AI-enabled features. 10+ years of consulting industry experience, with strong relationship management, account management, and sales support experience.
• Must have had Program Management experience in setting up and running a PMO and should be able to manage multiple projects on different tracks.
• Highly proficient in collaborating with project stakeholders, end-users, business partners, and technical team members to deliver high quality projects.
• Hands on with project documentation. Well-versed in industry best-practices and current technologies.
• Must have prior background in managing large, multi-team engagements.
• Hands-on experience with proposal creation and leading proposal presentations.
• Excellent leadership, interpersonal, communication and presentation skills.
• Wide variety of IT and business consulting engagement experience.
• Flexibility to travel.
• Bachelor’s degree or foreign equivalent required from an accredited institution.

ABOUT THE TEAM

Responsibilities

• Define and drive the product vision, strategy, and roadmap for AI-powered products, platforms, and capabilities aligned with business objectives and customer needs.
• Champion an AI-Native / AI-First product mindset, identifying opportunities to leverage Generative AI, Large Language Models (LLMs), AI agents, intelligent automation, and data-driven capabilities to create differentiated customer and business value.
• Own and prioritize the product backlog, developing clear user stories, requirements, acceptance criteria, and feature priorities in partnership with engineering and business teams.
• Translate complex business challenges and customer needs into actionable product requirements and AI-enabled solutions.
• Partner closely with engineering, data, AI/ML, design, architecture, and business stakeholders throughout the product development lifecycle.
• Lead product discovery and experimentation, including prototyping, testing, validation, and iterative development of AI-powered experiences and capabilities.
• Apply customer-centric product development practices to understand user pain points, identify opportunities, and continuously enhance the product experience.
• Establish and track product KPIs and success metrics, using quantitative and qualitative insights to evaluate product performance and guide roadmap decisions.
• Balance innovation, customer value, technical feasibility, business impact, and delivery priorities when making product decisions.
• Stay current on emerging AI technologies, capabilities, and product trends, evaluating their relevance and potential application to business and customer challenges.
• Facilitate alignment across cross-functional teams and communicate product priorities, progress, dependencies, risks, and outcomes to key stakeholders and leadership.
• Drive products from concept through launch and continuous improvement, ensuring solutions deliver measurable customer and business outcomes.
• Promote responsible AI product development by considering security, privacy, governance, transparency, and appropriate human oversight throughout the product lifecycle.