AI Product Manager Job Dallas area,Texas USA,Business

Supports delivery of Client’s priority AI use-case roadmap by partnering with Senior AI Product Managers, engineering, architecture, data, ontology, analytics, journey, clinical, operational, privacy, security, and compliance teams.
Helps translate customer, clinical, operational, and business problems into clear product requirements, user stories, acceptance criteria, delivery plans, success measures, and launch-readiness materials for AI-enabled capabilities.
Works across multiple AI use cases rather than owning a full product area independently, helping Senior AI Product Managers maintain execution discipline, issue resolution, stakeholder alignment, documentation quality, and outcome tracking.
Contributes to discovery, requirements definition, backlog management, testing coordination, adoption support, and continuous improvement for AI-enabled customer and operational experiences.
Helps ensure AI capabilities are useful, trustworthy, measurable, and operationally sustainable while supporting safe and responsible implementation across BSWH use cases.

ESSENTIAL FUNCTIONS OF THE ROLE
AI Use Case Delivery Support

Support Senior AI Product Managers in translating priority AI use cases into product requirements, epics, user stories, acceptance criteria, dependencies, and release plans.
Maintain and organize product documentation, decision logs, issue lists, delivery artifacts, stakeholder inputs, and product-readiness materials across assigned use cases.
Coordinate with product, engineering, architecture, data, analytics, design, clinical, operational, privacy, security, and compliance stakeholders to keep delivery work moving and aligned.
Identify delivery risks, open questions, dependency gaps, and decision points that require escalation to Senior AI Product Managers or other leaders.

Product Discovery & Requirements Definition

Participate in discovery sessions with customers, operators, clinical teams, journey leaders, and business stakeholders to understand problems, workflows, pain points, and desired outcomes.
Help document jobs-to-be-done, process flows, user needs, use-case hypotheses, functional requirements, non-functional requirements, and measurable success criteria.
Translate user and operational feedback into structured product inputs that Senior AI Product Managers can use to refine roadmaps and prioritization decisions.
Support market, user, competitor, and internal capability research to inform AI product decisions and identify opportunities for reuse across use cases.

Backlog, Roadmap & Delivery Coordination

Support backlog grooming, sprint planning, roadmap updates, release coordination, and cross-functional status reporting for assigned AI use cases and capabilities.
Help ensure user stories and requirements are sufficiently clear, testable, prioritized, and aligned to customer value, implementation feasibility, and business impact.
Track delivery progress, milestones, blockers, risks, stakeholder feedback, and dependencies across product, engineering, data, ontology, and operational teams.
Prepare concise updates, decision materials, meeting notes, action trackers, and launch-readiness materials for product and stakeholder forums.

AI Capability Definition & Responsible Product Support

Help define expected AI-enabled behaviors, escalation paths, human review points, usability expectations, guardrail needs, and operational considerations for assigned capabilities.
Partner with AI architecture, engineering, quality, data, and clinical/operational stakeholders to document how AI capabilities should operate in real-world workflows.
Support responsible AI implementation by ensuring product requirements consider privacy, compliance, auditability, transparency, reliability, safety, and customer trust.
Help connect individual use-case needs to reusable AI platform capabilities, data products, ontology assets, integration patterns, and evaluation approaches.

Launch, Adoption & Measurement

Support launch planning, stakeholder readiness, operational handoffs, change-management materials, training inputs, release notes, and adoption tracking for AI-enabled capabilities.
Assist in defining and monitoring product metrics, usage signals, quality indicators, feedback loops, adoption measures, and operational outcomes.
Gather and synthesize user, stakeholder, operational, and product analytics feedback to identify opportunities for iteration and improvement.
Help Senior AI Product Managers ensure each use case has clear outcomes, ownership,…