[Hiring] AI Portfolio Analyst @BS&A

Role Description

The AI Portfolio Analyst is the operational core of BS&A's AI Center of Excellence. Reporting to the VP of AI Transformation, this role operates and maintains the enterprise AI portfolio: the trusted view of what is proposed, what is in flight, what it costs, what value it is returning, and what should come next.

AI is already part of how we work at BS&A the CoE exists to get organized about it and turn that momentum into a durable, company-wide capability. The AI Portfolio Analyst is the person who makes that capability measurable, keeping intake honest, baselines real, and value reporting defensible.

AI Champions are this role's primary day-to-day partners. The Analyst helps Champions turn functional ideas into clear business cases, establish baselines, groom backlogs, track adoption, and surface wins, risks, or blockers back into the CoE.

This is not a data science role and not a traditional project management role. It is a portfolio, measurement, and enablement role with analytical depth, working closely with AI Champions, the CoE's architecture and engineering partners, IT/Security, Finance, and the department leaders who own the results AI is meant to deliver.

Qualifications

• 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.
• Ability to challenge ideas constructively by asking whether something is worth doing, measuring, or building while still helping teams maintain momentum.
• Ability to handle anxiety and stress in a fast-paced environment.

Requirements

• Curate the materials for the Quarterly AI Business Review, assembling portfolio status, value results, risks, and recommendations for the VP of AI Transformation to present to executive leadership.
• Produce recurring portfolio reporting for leadership that shows investments, adoption, value, and risk in one consistent view.
• Prepare analysis and supporting material for board-level reporting on the AI program.
• Serve as the day-to-day CoE partner for AI Champions across business functions.
• Run regular Champion working sessions to review new ideas, groom functional backlogs, identify duplicates, score opportunities, and surface blockers.
• Help Champions translate business opportunities into measurable use cases with clear owners, baselines, value metrics, and adoption expectations.
• Support the enterprise AI adoption program by coordinating with Champions to move solutions from launched to genuinely used.
• Track adoption and usage data across solutions, and turn it into practical recommendations for training, communication, workflow changes, or executive follow-up.
• Help build and maintain the CoE's shared playbooks, templates, and reporting frameworks so good practices spread instead of being reinvented.
• Compile the business evidence for production-readiness reviews of AI solutions, including baseline data, value hypothesis, named ownership, and adoption plan.
• Coordinate periodic production solution reviews with Solution Owners, Engineering, Architecture, and IT/Security, compiling usage, adoption, value, quality, and risk indicators into a clear portfolio view.
• Prepare optimize-or-retire recommendations in partnership with Solution Owners, Champions, and the VP of AI Transformation.
• Other duties as assigned.

Company Description