We are seeking an experienced Agile Product Manager to lead the product outcomes of AI engagements by translating business objectives into prioritized, testable backlogs and driving successful adoption. This role requires managing AI product roadmaps, leading discovery and prioritization efforts, coordinating delivery teams, managing client expectations, and ensuring measurable business value from proof of concept (PoC) through scaling stages. The ideal candidate will have a strong background in product management with a focus on AI/ML or data-intensive products, combined with expertise in Agile delivery methodologies.
Key Responsibilities
- Own and prioritize product backlogs based on business value, feasibility, and risk, ensuring alignment with strategic goals.
- Manage AI product roadmaps and lead discovery sessions to identify and validate AI use cases, acceptance criteria, success thresholds, and measurable outcomes.
- Coordinate cross-functional delivery teams to ensure timely and quality delivery across PoC, pilot, and scale phases.
- Oversee the AI delivery lifecycle, including data readiness, evaluation, deployment, monitoring, retraining, and adoption processes.
- Manage client expectations, scope, timelines, and delivery risks, particularly in environments with uncertain model performance.
- Facilitate workshops, stakeholder interviews, and prioritization exercises to drive consensus and informed decision-making.
- Apply a data-literate approach to outcome measurement, instrumentation, adoption metrics, and benefit tracking to demonstrate business impact.
- Ensure compliance with responsible AI principles, privacy, governance, and observability standards throughout the product lifecycle.
- Lead change management initiatives, including user adoption strategies, training programs, and rollout plans for AI-driven technology solutions.
- Communicate effectively with stakeholders at all levels, challenging scope when necessary and driving decisions to maintain product focus and delivery momentum.
Required Qualifications
- A minimum of 10 years’ experience in product management or product ownership, with at least 3 years focused on AI/ML or data-intensive products.
- Proven expertise in Agile delivery methodologies such as Scrum, Kanban, or SAFe.
- Strong understanding of the AI delivery lifecycle and associated data readiness and integration requirements.
- Ability to translate complex business outcomes into actionable AI use cases and measurable success criteria.
- Experience managing AI product releases through PoC, pilot, and scale stages.
- Demonstrated skills in stakeholder management, communication, facilitation, and leadership.
- Bachelor’s or Master’s degree in Computer Science, Business, Engineering, Data Science, or a related field.
Preferred Qualifications and Benefits
- Relevant certifications in Product Management, Agile, AI/ML, or cloud technologies are advantageous.
- Strong analytical and problem-solving capabilities that support data-driven decision-making.
- Experience with responsible AI frameworks, privacy considerations, and governance practices is highly valued.
- Background in change management, user adoption, and training for technology rollouts enhances candidate suitability.
This role offers the opportunity to lead innovative AI product initiatives in a dynamic environment, collaborating with diverse teams to deliver measurable business value and drive technology adoption.