- Partner with the client's Data & Analytics team and bridge Quality business stakeholders, IT, data teams, and implementation vendors.
- Facilitate stakeholder discussions and requirements-gathering sessions, define priorities, and translate needs into product deliverables.
- Coordinate business and technical teams on scope, timelines, dependencies, deliverables, and implementation priorities.
- Communicate product progress, risks, decisions, and recommendations to stakeholders and leadership.
- Review vendor deliverables, including solution architectures, AI workflows, user interfaces, data mappings, testing strategies, and implementation plans.
- Assess AI-enabled solutions for business fit, human oversight, and transparency into findings, exceptions, and recommendations.
- Coordinate business validation, user acceptance testing, defect resolution, and launch readiness.
- Define and refine KPIs, measurement frameworks, and product outcomes with the Value team.
- Collaborate with data and analytics teams to validate data requirements, mappings, reporting needs, and information quality.
- Maintain documentation of product requirements, decisions, risks, dependencies, action items, and delivery status.
Business AnalysisProduct ManagementStakeholder management+1 more