AI-Driven Data Product Manager for Enterprise

ShyftLabs; United States; Remote; USD 107,000 - 114,000; Full time

Job summary

ShyftLabs is seeking a Data & AI Product Manager to support a Quality AI initiative for a leading enterprise client. You will bridge business needs and technical execution, coordinating stakeholders, vendors, and IT teams to deliver measurable business value.

In this hands-on role, you’ll drive requirements, oversee AI workflows, validate data mappings, and shape user interfaces for Quality stakeholders, while tracking KPIs and ensuring successful UAT, launch readiness, and transition to

Qualifications

• 4-8 years of experience in product management, data and analytics, business analysis, digital transformation, or a related field.
• Demonstrated experience supporting the delivery of enterprise data, analytics, AI, or digital products from requirements definition through implementation and launch.
• Strong client-facing experience, with the ability to build trusted relationships and coordinate effectively across business stakeholders, technical teams, and external vendors.
• Experience reviewing technical deliverables, challenging proposed solutions, identifying gaps, and driving alignment between business expectations and technical implementation.
• Familiarity with Generative AI, document intelligence, optical character recognition (OCR), AI agents, or human-in-the-loop workflows.
• Strong communication, facilitation, presentation, and stakeholder management skills, including the ability to navigate competing priorities and constructively challenge demanding stakeholders.
• Experience coordinating UAT, business validation, issue resolution, and implementation readiness.
• Ability to define success metrics, evaluate product performance, and connect delivery outcomes to measurable business value.
• Strong organizational skills, attention to detail, and the ability to manage multiple workstreams in a fast-paced enterprise environment.
• Comfortable working independently while maintaining strong alignment with client stakeholders and cross-functional delivery teams.

Responsibilities

• Serve as a key product management partner to the client’s Data & Analytics team, acting as the bridge between Quality business stakeholders, IT, data teams, and external implementation vendors.
• Facilitate stakeholder discussions and requirements-gathering sessions to understand business needs, define priorities, and translate requirements into actionable product deliverables.
• Manage day-to-day coordination across business and technical teams, ensuring alignment on scope, timelines, dependencies, deliverables, and implementation priorities.
• Communicate product progress, risks, decisions, and recommendations clearly to business stakeholders and leadership.
• Constructively challenge assumptions, proposed solutions, and vendor deliverables to ensure they meet business requirements and enterprise standards.
• Review and evaluate vendor deliverables, including solution architectures, AI workflows, user interfaces, data mappings, testing strategies, and implementation plans.
• Assess proposed AI-enabled solutions to ensure they address business requirements, support effective human oversight, and provide appropriate transparency into findings, exceptions, and recommendations.
• Partner with business and technology teams to shape user-facing interfaces that enable Quality stakeholders to review documentation, investigate findings, assess exceptions, evaluate AI-generated recommendations, and support release decisions.
• Coordinate business validation, user acceptance testing (UAT), defect resolution, and launch readiness activities.
• Track implementation risks, dependencies, open issues, and decisions to maintain delivery momentum and ensure timely resolution.
• Support the transition from implementation to operational use, ensuring stakeholders are prepared to adopt and effectively use the solution.
• Define, challenge, and refine key performance indicators (KPIs) to measure the effectiveness and business impact of the Quality AI initiative.
• Partner with the Value team to establish appropriate measurement frameworks, validate assumptions, and ensure benefits are tracked against agreed business objectives.
• Translate business objectives into measurable product outcomes, ensuring the solution delivers tangible improvements in efficiency, quality, consistency, and decision-making.
• Collaborate with data and analytics teams to validate data requirements, mappings, reporting needs, and the quality of information supporting AI-enabled workflows.
• Maintain clear documentation of product requirements, decisions, risks, dependencies, action items, and delivery status.

Skills

Stakeholder mgmt

Delivery coordination

AI familiarity

Data analytics knowledge

Job description

ShyftLabs is seeking a Data & AI Product Manager to support a Quality AI initiative for a leading enterprise client. You will bridge business needs and technical execution, coordinating stakeholders, vendors, and IT teams to deliver measurable business value.

In this hands-on role, you’ll drive requirements, oversee AI workflows, validate data mappings, and shape user interfaces for Quality stakeholders, while tracking KPIs and ensuring successful UAT, launch readiness, and transition to