5-7 years of experience in construction or related fields
Strong understanding of data and AI systems
Ability to write clear, specific, and testable requirements
Experience in ranking and prioritizing projects
Familiarity with project management systems like Procore is a plus
Responsibilities
Conduct discovery sessions to identify and qualify use cases
Evaluate and size the value and effort of potential projects
Manage the use-case portfolio and oversee its review process
Draft requirements for analytics and AI teams to follow
Monitor delivered value and adjust future sizing accordingly
Communicate effectively to decline unfeasible project ideas
Benefits
Discretionary annual bonus based on performance
Comprehensive benefits package including medical, dental, and vision
401k plan with company contributions
Generous paid time off and holidays
Employee assistance program and flexible spending accounts
Life insurance and disability coverage
Opportunities for learning and development programs
Full Job Description
The Role We Want You For
Everyone at Clayco has an idea about what AI should do. Some of those ideas are worth millions and some are worth nothing, and right now there is no reliable way to tell them apart. Requests arrive through hallway conversations and forwarded emails, and the loudest one tends to win. This role is the front door. You will go find the use cases rather than wait for them, size them honestly, rank them, and write the requirements our engineering teams build against. You will also tell people no, which is most of what makes a portfolio worth having.
The portfolio does not exist yet. You will define how Clayco decides what to build rather than inherit someone else's process. The function is funded, sponsored at the executive level, and early enough that your first ranking shapes two years of work.
Specific Responsibilities:
Run discovery with operating groups and functions - find and qualify use cases rather than waiting for requests.
Size value and effort consistently enough that the ranking actually means something.
Own the use-case portfolio and the forum where it gets reviewed and re-ranked.
Write the requirements our analytics, AI product, and automation teams build against.
Track what value showed up after delivery and feed it back into how the next case gets sized.
Say no, with a reason the sponsor can accept.
Job Requirements and Competencies:
Construction fluency. You can sit with a project executive and understand the problem in their language. Preconstruction, operations, project controls, or the back office - you have worked in at least one of them.
You know what is buildable. The common failure in this seat is a product manager who promises what engineering cannot deliver. You should understand enough about how data and AI systems work to size things honestly.
You write requirements engineers respect. Specific, testable, and honest about what is still unresolved.
You can hold a line. Ranking means telling an executive their idea sits below the line this quarter, and making it stick.
Nice to have: internal or enterprise product experience, Procore or similar project systems, experience running a value measurement process
Some Things You Should Know
Our clients and projects are nationwide - Travel will be required.
No other builder can offer the collaborative design-build approach that Clayco does.
We work on creative, complex, award-winning, high-profile jobs.
The pace is fast!
This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing.
Benefits
Discretionary Annual Bonus: Subject to company and individual performance.
Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!
Compensation
The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.
