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Job Title: Technical Product Owner with Python And AI Enablement
Location: Dallas TX (ONSITE HYBRID)
FULLTIME
Mandatory Skills
Role Summary
Lead business analysis and product ownership for AI/ML driven enterprise initiatives. Drive requirement strategy, stakeholder alignment, product roadmap detailing, and support full AI/ML lifecycle delivery.
Key Responsibilities
Job Title: Technical Product Owner with Python And AI Enablement
Location: Dallas TX (ONSITE HYBRID)
FULLTIME
Mandatory Skills
- Advanced Business Analysis & Solution Design:
- Knowledge Engineering / AI Enablement:
- Python Programming & Architecture:
- Agile Program Delivery:
- Data & AI Systems Understanding:
Role Summary
Lead business analysis and product ownership for AI/ML driven enterprise initiatives. Drive requirement strategy, stakeholder alignment, product roadmap detailing, and support full AI/ML lifecycle delivery.
Key Responsibilities
- Lead and own requirement strategy: BRD, FRD, SRS, Epics, Features, User Stories.
- Conduct advanced current/futurestate modeling, gap analysis, and business impact assessment.
- Drive backlog prioritization, roadmap planning, and executivelevel stakeholder alignment.
- Partner with AI/ML teams on problem framing, feature engineering, model evaluation, and business validation.
- Lead workshops, UAT sessions, demos, and executive briefings.
- Oversee governance documentation: traceability matrices, business rules, data dictionaries, process flows.
- Support end to end AI/ML lifecycle: Business Understanding Data Model BAT Deployment Monitoring.
- Business analysis & enterprise requirements 8 years
- BRD / FRD / SRS / User stories / Epics 8 years
- Domain expertise (Banking / Insurance / Logistics) 5 years
- AI/ML lifecycle, prompt engineering, LLM use cases 3 5 years
- SQL, data analysis, profiling 3 5 years
- Product management (Epics, Features, Roadmap, Acceptance criteria) 5 years
- Agile (Scrum ownership, Sprint planning, Grooming) 6 years
- Advanced Business Analysis & Solution Design
- Knowledge Engineering / AI Enablement:
- Design ontologies, decision frameworks, rules, and LLM prompt architectures.
- Python Programming & Architecture.
- Agile Program Delivery.
- Data & AI Systems Understanding.
- AI/ML frameworks, MLOps exposure
- Scoring models, claims/underwriting platforms
- API documentation & integration knowledge
- Lucidchart, Miro, data visualization tools
- Strong analytical, communication, stakeholder management, leadership