Senior Associate, Business Product Management - Product, SPX Express (AI)

1. Process Discovery & Optimization (BPM Core) Own end-to-end business processes (As-is vs To-be) across Workforce, Finance, Risk. Identify bottlenecks, inefficiencies, and improvement opportunities Break down complex business problems into structured, solvable components. Redesign workflows with a product mindset, focusing on user experience (Ops, staff, stakeholders). Drive outcomes to closure, not just design - track execution, unblock issues, and hold timeliné accountable.
2. Stakeholder Management & Change Adoption Build alignment across Resource, Finance, Risk and leadership; manage conflicting priorities (speed vs. control vs. compliance). Train and enable stakeholders; communicate clearly the value and impact of process changes. Manage resistance and ensure smooth transition from manual to improved processes. Take full ownership and accountability for outcomes end-to-end, including when things go wrong.
3. Data-Driven Problem Solving Analyze operational data to identify root causes and improvement opportunities. Define and track success metrics: efficiency gain, time saved, accuracy improvement, cost reduction. Translate insights into actionable, prioritized initiatives.
4. Risk, Compliance & Governance Ensure solutions comply with data privacy (PII protection), internal compliance frameworks, and process-governance standards. Design guardrails: thresholds, fallback logic, audit trail, human-in-the-loop where applicable.
5. AI & Automation (supporting skill) Identify opportunities to apply AI/automation (GenAI for content, predictive analytics, workflow/automation tools) to a process that has already been redesigned with sound process logic. No expectation to build or train models - comfort using existing AI tools/platforms to support execution is a plus not a requirement. Must have: Process & Product Mindset: proven ability to analyze, redesign, and own end-to-end business processes with a user-centric, outcomes-first approach. Ownership & Execution: demonstrated track record of taking full accountability for an initiative from discovery to go-live, including driving it through ambiguity and obstacles. Stakeholder Management: strong ability to align, influence, and manage trade-offs across cross-functional teams (Ops, Finance, Risk, leadership). Data-Driven Analysis: structured, data-driven problem solving - break down complex problems, validate with data, define clear success metrics. Quick Learning: adapt rapidly to evolving tools and specialized domain knowledge within the industry.

Nice to have

Experience in Logistics / Workforce / Finance Exposure to AI platform, automation tools or internal tool buildingFamiliarity with data tools (SQL, dashboards, analytics) Experience with automation platforms