AI Portfolio Analyst

BS&A Software

AI Portfolio Analyst maintaining AI portfolio and reporting on initiatives for BS&A. Collaborating with business leaders and AI Champions to drive improvements and measure value.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Maintain the enterprise AI portfolio as the single source of truth for AI initiatives across the company, spanning proposals, active builds, pilots, and production solutions.
Run the intake process for new AI use cases, including deduplication against existing initiatives and tools.
Assist in triaging AI activity into the right path: everyday enablement, department-level improvement, or governed production AI solution.
Facilitate scoring and prioritization of initiatives with business leaders using the CoE's evaluation model.
Maintain cost assumptions, budget inputs, and usage data for AI initiatives in partnership with the VP of AI Transformation, Finance, IT/Security, and Solution Owners.
Support build-versus-buy evaluations with market scans, cost comparisons, and structured analysis.
Establish pre-deployment baselines for governed and prioritized AI initiatives.
Define and track value metrics for production solutions, including hours saved, cycle time, quality, adoption, and cost.
Maintain the program-level view of value returned versus investment made.
Flag solutions that are underused or underperforming so they can be improved, repositioned, or retired.
Curate materials for the Quarterly AI Business Review; produce recurring portfolio reporting for leadership.
Run regular Champion working sessions to review new ideas, groom functional backlogs, and identify duplicates.

Requirements

What you’ll need

Bachelor's degree in Business, Analytics, Finance, Information Systems, or a related field, or equivalent professional experience.
3+ years in an analytical role such as business analysis, portfolio or program analysis, operations analysis, FP&A, strategy, or process improvement, where your work directly informed decisions.
Demonstrated comfort operating in new, undefined spaces: building a process where none existed, creating structure from ambiguity, and adjusting quickly as the ground shifts.
Strong quantitative skills, including building models, baselines, and metrics in Excel or a BI tool, and explaining them in plain language.
Experience managing a portfolio, pipeline, or book of work across multiple stakeholders with competing priorities.
Strong facilitation and communication skills, with the ability to partner with employees, managers, executives, technical teams, and business owners.
Excellent written communication, with the ability to turn messy inputs into a clear one-page story for an executive audience.
Demonstrated experience applying AI in real work - using modern AI tools daily, redesigning at least one workflow or process around them, and forming informed opinions about where AI fits and where it does not.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisModel BuildingMetric DevelopmentBudget ManagementCost Comparison

Soft Skills

FacilitationCommunicationAdaptabilityStorytelling