Product Owner Consultant (AIML)

Saint Paul Park, MN - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Role - Product Owner Consultant (AI/ML)

Location - St. Paul MN

Separate notes :
*** We are doing AI pods at Securian and want to have roughly 12-15 pods built by the end of 2027.
Currently we have 4 built so far (each PODS are roughly 15 people). We want to have 8-10 PODS by the end of 2026 and 12 by end of 2027.
*** This role is going to be a Mini-POD and will b working very closely with the technical teams etc.

Title -- Product Owner Consultant (AI/ML)
Interview process -- Interview with hiring manager
Reason for Hire -- Specific/New Initiative
Duration 1 Year (Apr 13 2026 Apr 9 2027); he does see this person going FTE long-term
Salary Expectations: $100K-130K Range base Salary
Location Hybrid (3 days onsite) Parking is paid for by Securian
400 Robert St N
St Paul Minnesota 55101

JOB DESCRIPTION - Product Owner Consultant
Overview
The Senior Product Owner will lead discovery and delivery across AI Mini-Pods driving the execution of scalable production-ready AI use cases within a 3 4 month delivery window. This role operates at the intersection of business technology and data ensuring AI solutions are aligned to enterprise standards deliver measurable business value and are positioned for long-term adoption.

Primary Responsibilities

AI Discovery & Use Case Definition

Lead structured discovery workshops with business stakeholders
Validate problem statements and define measurable business outcomes and KPIs
Translate business objectives into scalable AI solution scope
Identify data dependencies technical constraints and integration points
Define clearly bounded production-ready use case scope aligned to a 3 4 month delivery timeline

Product Ownership & Backlog Management

Define and maintain a comprehensive product backlog including:
- Business requirements
- AI/ML capabilities
- Non-functional requirements (security performance explainability compliance)
- Acceptance criteria tied to business outcomes
Prioritize backlog based on business value feasibility and dependencies
Continuously refine and groom backlog across concurrent mini-pods
Structure work to support experimentation (e.g. technical spikes model evaluation cycles)

Agile Delivery Leadership

Lead agile ceremonies including sprint planning backlog refinement sprint reviews and retrospectives
Act as de-facto Scrum Master in early phases of delivery
Track sprint goals delivery progress risks and impediments
Coordinate cross-functional and cross-team dependencies
Ensure delivery outcomes align with defined business value and KPIs

Enterprise Alignment & Governance

Ensure alignment with enterprise AI architecture governance and risk standards
Partner with architecture data governance and security teams
Identify and mitigate risks related to:
- Data quality and availability
- Model performance and reliability
- Bias fairness and explainability
- Operationalization monitoring and lifecycle management

AppDev Partnership & Transition

Build strong partnerships with business-aligned application development teams
Align backlog architecture and delivery approach with downstream systems
Define and execute structured handoff and transition plans
Ensure documentation and knowledge transfer enable long-term maintainability
Drive adoption of AI CoE standards patterns and best practices

Capability Building & Reusable Frameworks

Establish lightweight outcome-driven agile practices for short AI delivery cycles (5 7 sprints)
Develop reusable templates playbooks and delivery artifacts including:
- Discovery frameworks
- Backlog structures
- Sprint reporting standards
- AI use case playbooks
Coach team members to take on Scrum Master responsibilities
Enable progressive ownership transfer to AppDev teams by final sprint

Qualifications

Bachelors degree in Business Technology Engineering or related field
5 years of experience as a Product Owner Product Manager or similar role in an agile environment
Experience delivering data analytics or AI/ML-driven products in production environments
Strong understanding of agile methodologies (Scrum Kanban) and product lifecycle management
Experience working with cross-functional teams including engineering data science and business stakeholders
Ability to define and manage both functional and non-functional requirements
Strong stakeholder management and communication skills
Experience working in enterprise environments with governance and compliance considerations
Familiarity with AI/ML concepts data pipelines and model lifecycle is strongly preferred

Preferred Qualifications

Experience in AI/ML product delivery or AI transformation initiatives
Experience working within a Center of Excellence (CoE) model
Familiarity with cloud platforms (AWS Azure GCP) and modern data architectures
Experience enabling or coaching teams in agile delivery practices
Experience defining KPIs and measuring business value realization

Physical Job Requirements

Ability to utilize keyboard mouse and computer for up to 8 hours per day
Ability to work at least 40 hours per week

Role - Product Owner Consultant (AI/ML) Location - St. Paul MN Separate notes : *** We are doing AI pods at Securian and want to have roughly 12-15 pods built by the end of 2027. Currently we have 4 built so far (each PODS are roughly 15 people). We want to have 8-10 PODS by the end of 2026 and 12 ...