Remote - AI-ML Analyst & Implementation Manager

Overview:

Management role on PI’s Intelligent Automation team with an applied focus on the assessment and roll-out of AI models to support plant posting workflows driving title automation capabilities.
• Build and lead a team focused on AI Testing and Implementation for plant postings across the enterprise including existing plant maintenance and new plant construction.
• Make recommendations for roll-out and implementation strategies across PI and the various models.
• Manage and prioritize back-log requests related to each model and service provider.

• Assess field level performance for each model to determine if/when a field qualifies for No-Touch
o Work with Vendor(s) to troubleshoot/enhance as appropriate.
o Provide feedback loop across vendors and other stakeholders.
o Determine confidence score min for each field/model to determine when field qualifies for no touch.

• Identify ways to improve reliability and accuracy of Confidence Scores
o Ways to leverage metadata.
o Cross-Reference Files and Other Validations.

• Categorize Fields into “Value Buckets” and Incorporate Logical Business Rules to Drive Workflow for each Data Element
o Ex:  Maturity Date should never be touched by a human and okay to not process if it does not exceed a certain confidence score.
o Ex:   Does a Grantor/Grantee Name need to be reviewed for a Property Posted document such as a Mortgage?
o Ex:  Legal data elements should have a higher confidence score requirement vs. Dated Date

Bachelor’s Degree.

• 5+ years title production experience.
• Strong technical acumen and analytical skills.
• Able to execute on high-level objectives with minimal oversight.
• Ability to strike a balance between being productive and providing high quality work vs. striving for perfection or 100% on every task.

• Experience with Public Record Data a Plus.
• 2+ Years Management Experience.

REQUIREMENTS:

Ensure AI/ML investments lead to appropriate ROI and guide company implementation roadmap and strategies:
Develop and maintain scorecard system including but not limited to:
o Hit Rate & Accuracy Rates
o Confidence Scores
o Effectiveness of ML to improve AI capabilities over time
o Time savings vs. current process to account for expense reduction and ROI
o Support rollout strategy and ensure testing mechanisms in place to monitor and validate expected performance.

Travel is needed up to 10% of the time.