Data & AI Product Owner

Mortenson

Data & AI Product Owner at Mortenson focusing on delivering governed data products and AI solutions. Responsible for strategy alignment, roadmaps, Agile delivery, and stakeholder engagement in the digital realm.

Posted 7/31/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesMid-LevelSenior💰 $107,300 - $161,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Agile product ownership and management, with a strong focus on data and AI product delivery. Capable of translating business needs into actionable requirements while ensuring adherence to governance standards and driving continuous improvement.

Highest-signal resume keywords

Agile Product OwnershipBacklog ManagementData GovernanceStakeholder FacilitationScrum Master Responsibilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementData AnalyticsAI/ML Product DevelopmentUser Story TranslationAcceptance Criteria DefinitionData Quality ManagementPerformance MonitoringContinuous ImprovementAgile FrameworksMetrics Definition

Soft Skills

Communication SkillsFacilitation SkillsProblem-SolvingTeam CollaborationChange Management

Tools & Technologies

Backlog Management ToolsAgile ToolsData Engineering ToolsAnalytics Engineering ToolsMLOps Tools

Industry Keywords

Data ProductsAI GovernanceData Quality StandardsScrum CeremoniesCross-Team Coordination

About the role

Key responsibilities & impact

Define and communicate the vision, goals, and success metrics for data products and AI products in alignment with Mortenson’s Data & AI strategy.
Maintain and prioritize the product backlog(s), ensuring clarity, sequencing, and alignment with business objectives and technical dependencies.
Translate business needs into actionable epics/user stories, data requirements, and acceptance criteria (including non-functional needs such as performance, security, and auditability).
Own and continuously improve the Agile operating cadence across Data & AI product delivery teams (single-team or multi-team), ensuring visibility, flow, and predictable outcomes.
Facilitate core Scrum/Agile ceremonies as needed: sprint planning, daily stand-ups, backlog refinement, sprint review/demo, and retrospectives.
Partner with Engineering and stakeholders to ensure sprint goals are clear, work is right-sized, dependencies are managed, and Definition of Ready/Done is consistently applied.
Identify, track, and remove impediments; escalate risks and blockers early with options and recommended paths forward.
Monitor team health and delivery signals (cycle time, throughput, WIP, spillover) and drive continuous improvement actions.
Coordinate cross-team dependencies and release readiness across data engineering, analytics engineering, data science, and MLOps/LLMOps.
Partner with domain teams to define and evolve data products (e.g., curated datasets, metrics, semantic models) with clear ownership, documentation, and consumer-focused design.
Establish and monitor data quality expectations (definitions, SLAs, validation rules), and drive remediation for defects and root causes.
Ensure data products meet governance standards: lineage, access controls, privacy classification, retention, and appropriate use.
Enable self-service analytics and AI by improving discoverability, interoperability, and standardization across domains.
Partner with OG/BSG leaders to identify high-value AI use cases and define measurable outcomes (efficiency, risk reduction, revenue impact, safety, quality).
Serve as the primary liaison between business stakeholders and AI delivery teams, ensuring transparency, prioritization discipline, and timely decision-making.
Drive adoption through demos, enablement, training, and change management initiatives; incorporate user feedback into iterative releases.
Ensure features meet Mortenson’s AI governance standards (privacy, security, ethical use, model risk) and coordinate reviews/approvals as needed.
Collaborate with the AI COE to embed responsible AI practices into the product lifecycle (data minimization, bias testing, human-in-the-loop, monitoring).
Work closely with Data Engineers, Analytics Engineers, Data Scientists, AI Engineers, and MLOps teams to ensure timely delivery and quality outcomes.
Monitor product performance post-launch; iterate based on feedback, telemetry, and business impact measurement.
Champion innovation by introducing emerging data and AI capabilities that align with Mortenson’s roadmap and can be delivered safely at scale.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business, or related field (or equivalent experience).
5+ years in product ownership/management for data, analytics, AI/ML, or other digital products.
Demonstrated experience defining outcomes, prioritizing backlogs, and translating business needs into deliverable requirements and acceptance criteria.
Demonstrated experience owning Agile delivery processes (Scrum/Kanban), facilitating ceremonies, removing impediments, and driving continuous improvement (Scrum Master responsibilities).
Working knowledge of governed data concepts (data quality, metadata, lineage, access controls) and how they enable analytics and AI at scale.
Strong understanding of Agile frameworks and backlog management tools; excellent stakeholder facilitation and communication skills.

Benefits

Comp & perks

Medical and prescription drug plans that includes no additional cost vision coverage
Dental plan
401k retirement plan with a generous Mortenson match
Paid time off, holidays, and other paid leaves
Employer paid Life, AD&D, and disability insurance
No-Cost mental health tool and concierge with extensive work-life resources
Tuition reimbursement
Adoption Assistance
Gym Membership Discount Program