• Develops and operates the Advana Service Catalog framework • Proposes labor and technical cost estimates to government leadership • Integrates approved cost data into automated catalog publication pipelines • Maintains daily catalog operations using various platforms • Coordinates with systems engineering teams to capture configuration dependencies and performance requirements • Collaborates with catalog technicians and data analysts to evaluate catalog usage • Supports development of Service Level Agreements by conducting customer outreach and analyzing performance expectations • Develops measurable thresholds for service quality

• Conduct job analyses to identify the competencies and requirements that matter for role success • End-to-end program management support across the full assessment lifecycle from intake through implementation and success measurement • Consult with hiring teams to develop role-specific assessments • Run validity, adverse impact, and fairness studies to keep our programs legally defensible and equitable • Build scalable solutions for our structured interview and assessment programs

• Own delivery of top prioritized AI projects embedded in P&C workflows and services, from intake through launch and adoption. • Be part of the execution team; not only a consultant. • Translate strategy from senior P&C and 3P leaders into clear plans, milestones, and decision points the broader team can run with. • Build the structure these programs need: governance, working teams, status cadences, and decision frameworks — right-sized to the work. • Run cross-functional teams across IT, design, data, legal, privacy, and operations. • Hold partners accountable and unblock issues fast. • Surface tradeoffs early. • Frame options for senior leaders so decisions get made on time and don’t stall the work. • Communicate clearly and often. • Tailor updates for executive audiences, working teams, and stakeholders who only need the headline. • Track outcomes, not just delivery dates. • Define what success looks like up front and measure whether projects actually moved the needle for P&C. • Spot risks across the portfolio — dependencies, capacity, scope creep, change management — and resolve them before they slow delivery. • Bring rigor to AI-specific considerations: data readiness, responsible AI review, change management for the people whose work will change.

• Own a portfolio of companies end-to-end • Source the right candidates • Manage the relationship • Turn trust into a steady stream of hires • Build your own judgment about candidates • Use Ops teams effectively