Overview
The Product Data Manager will play a pivotal role in the evolution and productionization of strategic AI-driven products within a growing enterprise AI program. Working in a hybrid arrangement, the contractor will collaborate with business stakeholders and technical teams to maximize the business value of an existing AI product approaching User Acceptance Testing (UAT). This position requires strong stakeholder engagement and the ability to navigate complex organizational challenges to deliver measurable business outcomes.
Responsibilities
- Own the product vision, roadmap, and evolution of an AI-based data product.
- Understand business pain points and identify opportunities to create value through AI and data.
- Act as the bridge between business stakeholders, product teams, and technical delivery teams.
- Work through data quality and validation challenges affecting product performance.
- Drive stakeholder engagement, adoption, and benefits realization.
- Shape future use cases and identify opportunities to expand the product's capabilities.
- Support the transition from project delivery into BAU operations and secure ongoing investment.
- Challenge assumptions, remove blockers, and provide strategic direction across the product lifecycle.
Requirements
- Strong Data Product Management experience, ideally within AI, analytics, or machine learning products.
- Good understanding of AI, ML, and emerging Agentic AI concepts and their business applications.
- Ability to translate business challenges into product opportunities and roadmaps.
- Excellent stakeholder management and communication skills.
- Experience working with data engineers, delivery teams, and business users.
- Strong commercial and strategic mindset with a focus on measurable business outcomes.
- Comfortable operating in ambiguous environments and driving initiatives proactively.
- Experience dealing with data quality, governance, and adoption challenges.