IT Manager - Data & AI

About the Role

The manager will own the full product lifecycle—from discovery and design through experimentation, deployment, and scaling—while implementing backlog, sprint cadences, stage gates, and product KPIs to shorten time-to-market. They will coordinate cross-functional squads of data engineers, analysts, security, compliance and domain experts, and manage external partners as needed. Operational responsibilities include operationalizing ethical AI practices, defining release criteria, runbooks, monitoring, and fallback controls for safe large-scale operations. Technical ownership includes MLOps implementation (CI/CD for models, feature stores, experiment tracking, observability, drift detection) and ensuring alignment with the Microsoft Fabric-based data mesh and enterprise platforms. The manager will partner with integration teams to connect AI services to operational systems such as ERP, financials, estimating, and project controls, and will drive business partnership, use-case selection, value targeting, and adoption plans. People leadership is a core component: hiring, coaching, and developing AI engineers and full-stack developers, fostering a high-trust, learning-focused culture, and establishing clear roles, goals, and career paths in line with Mortenson leadership principles. The manager will also lead enterprise change management through training, communications, and rollout playbooks to achieve target adoption levels. • Translate strategy into AI product roadmaps and manage full lifecycle from discovery to scale • Establish repeatable delivery mechanisms (backlog, sprints, stage gates, KPIs) to accelerate time-to-market • Coordinate cross‑functional squads and external partners for AI delivery • Operationalize ethical AI practices and model governance in line with COE standards • Define release criteria, runbooks, monitoring, and fallback controls for safe scaling • Partner with integration teams to connect AI services to operational systems such as ERP and project controls • Hire, coach, and develop AI engineers and full‑stack developers, fostering a high‑trust learning culture • Establish clear roles, goals, and career paths while modeling Mortenson leadership principles • Engage operating groups to select use cases, define value targets, and build adoption plans with sandbox environments • Lead enterprise change management through training, communications, and rollout playbooks

Key Responsibilities

• ▸ai roadmap
• ▸mlops
• ▸sprint cadence
• ▸model governance
• ▸ai integration
• ▸team leadership

What You Bring

Candidates must hold a bachelor’s degree in a relevant field, have 7+ years of AI/ML solution delivery experience, at least one year leading product or engineering teams, and hands‑on MLOps expertise. Required skills include modern AI stacks (LLMs, NLP, computer vision, vector search, Python, Azure) and experience with Microsoft Fabric data platforms; preferred experience includes AEC/construction tech and responsible AI governance. Base salary ranges from $129,000 to $193,600 with location adjustments, and the role is eligible for Mortenson’s incentive plan. • Own MLOps implementation (CI/CD, feature stores, experiment tracking, observability, drift detection) within Microsoft Fabric data mesh • Bachelor’s degree in Computer Science, Data/AI, Engineering or related field • 7+ years delivering AI/ML solutions • 1+ year leading product or engineering teams • Hands‑on MLOps experience (model lifecycle, CI/CD, monitoring/observability) • Expertise with modern AI stacks (LLMs/NLP, CV, vector search, Python, Azure) and Microsoft Fabric • Proven ability to turn ambiguous problems into shipped AI products with measurable value • Preferred: experience in AEC/construction tech and responsible/ethical AI governance

Requirements

• ▸mlops
• ▸microsoft fabric
• ▸python
• ▸azure
• ▸llms
• ▸7+ years

Benefits

Mortenson offers comprehensive benefits for non‑craft, non‑union employees working 25+ hours per week, including medical, vision, dental, 401(k) match, paid time off, employer‑paid life and disability insurance, mental‑health resources, tuition reimbursement, adoption assistance, and a gym membership discount. The company is an equal‑opportunity employer committed to diversity and inclusion, and visa sponsorship is not available for this position. • Medical, prescription drug, vision, and dental plans at no additional cost • 401(k) with generous Mortenson match • Paid time off, holidays, and other paid leaves • Employer‑paid life, AD&D, and disability insurance • No‑cost mental health tools and concierge services • Tuition reimbursement and adoption assistance • Gym membership discount program

Work Environment

Office Full-Time